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udemy - Calculus 3 (multivariable calculus), part 2 of 2.
Last updated 7/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 50.82 GB | Duration: 44h 27m

Towards and through the vector fields, part 2 of 2: Integrals and vector calculus



What you'll learn
How to solve problems in multivariable calculus and vector calculus (illustrated with more than 150 solved problems) and why these methods work.
7 types of integrals: double, double improper, and triple integrals; line integrals and surface integrals of functions and of vector fields.
Direct and inverse substitutions for multiple integrals with many examples; Fubini's theorem for various types of domains.
Conservative vector fields and their potentials; fundamental theorem for conservative vector fields.
Green's, Stokes' and Gauss' theorems.
Gradient, curl and divergence.
Surfaces as graphs of functions of two variables and parametric surfaces; normal vectors and orientation of surfaces; boundary of a surface.
Five methods of computing line integrals of vector fields and four methods of computing surface integrals of vector fields (flux integrals).

Requirements
Calculus 1 and 2
Some Linear Algebra (a brief summary of some topics is contained in Section 2 of "Calculus 3, part 1 of 2")
Calculus 3, part 1 or an equivalent (curves, sets in the plane, functions of several variables with limits, continuity and differentiability, partial derivatives, and simple PDEs)
You are always welcome with your questions. If something in the lectures is unclear, please, ask. It is best to use QA, so that all the other students can see my additional explanations about the unclear topics. Remember: you are never alone with your doubts, and it is to everybody's advantage if you ask your questions on the forum.

Description
Calculus 3 (multivariable calculus), part 2 of 2Towards and through the vector fields, part 2 of 2: Integrals and vector calculus(Chapter numbers in Robert A. Adams, Christopher Essex: Calculus, a complete course. 8th or 9th edition.)C4: Multiple integrals (Chapter 14)S1. Introduction to the courseS2. Repetition (Riemann integrals, sets in the plane, curves)S3. Double integralsYou will learn: compute double integrals on APR (axis-parallel rectangles) by iteration of single integrals; x-simple and y-simple domains; iteration of double integrals (Fubini's theorem).S4. Change of variables in double integralsYou will learn: compute double integrals via variable substitution (mainly to polar coordinates).S5. Improper integralsYou will learn: motivate if an improper integral is convergent or divergent; use the mean-value theorem for double integrals in order to compute the mean value for a two-variable function on a compact connected set.S6. Triple integralsS7. Change of variables in triple integralsYou will learn: compute triple integrals by Fubini's theorem or by variable substitution to spherical or cylindrical coordinates; compute the Jacobian for various kinds of change of variables.S8. Applications of multiple integrals such as mass, surface area, mass centre.You will learn: apply multiple integrals for various aims.C5: Vector fields (Chapter15)S9. Vector fieldsS10. Conservative vector fieldsYou will learn: about vector fields in the plane and in the space; conservative vector fields; use the necessary condition for a vector field to be conservative; compute potential functions for conservative vector fields.S11. Line integrals of functionsS12. Line integral of vector fieldsYou will learn: calculate both kinds of line integrals (the ones of functions, and the ones of vector fields) and use them for computations of mass, arc length, work; three methods for computation of line integrals of vector fields.S13. SurfacesYou will learn: understand surfaces described as graphs to two-variable functions f:R^2-->R and as parametric surfaces, being graphs of r:R^2-->R^3; determine whether a surface is closed and determine surfaces' boundary; determine normal vector to surfaces.S14. Surface integralsYou will learn: calculate surface integrals of scalar functions and use them for computation of mass and area.S15. Oriented surfaces and flux integralsYou will learn: determine orientation of a surface; determine normal vector field; choose orientation of a surface which agrees with orientation of the surface's boundary; calculate flux integrals and use them for computation of the flux of a vector field across a surface.C6: Vector calculus (Chapter16: 16.1--16.5)S16. Gradient, divergence and curl, and some identities involving them; irrotational and solenoidal vector fields (Ch. 16.1--2)S17. Green's theorem in the plane (Ch. 16.3)S18. Gauss' theorem (Divergence Theorem) in 3-space (Ch. 16.4)S19. Stokes' theorem (Ch. 16.5)S20. Wrap-up Multivariable calculus / Calculus 3, part 2 of 2.You will learn: define and compute curl and divergence of (two- and three-dimensional) vector fields and proof some basic formulas involving gradient, divergence and curl; apply Green's, Gauss's and Stokes's theorems, estimate when it is possible (and convenient) to apply these theorems.S21. ExtrasYou will learn: about all the courses we offer. You will also get a glimpse into our plans for future courses, with approximate (very hypothetical!) release dates.Make sure that you check with your professor what parts of the course you will need for your final exam. Such things vary from country to country, from university to university, and they can even vary from year to year at the same university.A detailed description of the content of the course, with all the 200 videos and their titles, and with the texts of all the 152 problems solved during this course, is presented in the resource file "001 Outline_Calculus3_part2.pdf" under video 1 ("Introduction to the course"). This content is also presented in video 1.

Overview
Section 1: Introduction to the course

Lecture 1 Introduction

Section 2: Repetition (Riemann integrals, sets in the plane, curves)

Lecture 2 Riemann integrals repetition 1

Lecture 3 Riemann integrals repetition 2

Lecture 4 Riemann integrals repetition 3

Lecture 5 Riemann integrals repetition 4

Lecture 6 Riemann integrals repetition 5

Lecture 7 Curves part 1 general

Lecture 8 Curves part 2, arc length

Lecture 9 Sets in the plane

Section 3: Double integrals

Lecture 10 Double integrals, notation and applications

Lecture 11 APR

Lecture 12 Double integrals, definition on APR

Lecture 13 Double integrals, definition on compact domains

Lecture 14 Multiple integrals generally

Lecture 15 Properties of double integrals

Lecture 16 Double integrals by inspection 1

Lecture 17 Odd functions

Lecture 18 Integration by inspection 2

Lecture 19 Integration by inspection, Problem 1

Lecture 20 Integration by inspection, Problem 2

Lecture 21 Integration by inspection, Problem 3

Lecture 22 Integration by inspection, Problem 4

Lecture 23 Integration by iteration, Fubini on APR

Lecture 24 Fubini on APR, Problem 1

Lecture 25 Fubini on APR, Problem 2

Lecture 26 Fubini on APR, Problem 3

Lecture 27 Fubini on APR, rule for products

Lecture 28 Fubini on APR, Problem 4

Lecture 29 Fubini on APR: an example where order matters

Lecture 30 X- and Y-simple sets

Lecture 31 Integration by iteration, Fubini on X- and Y-simple sets

Lecture 32 Fubini general problem 1

Lecture 33 Fubini general problem 2

Lecture 34 Fubini general problem 3

Lecture 35 Fubini general problem 4

Lecture 36 Fubini general problem 5

Lecture 37 Fubini general problem 6

Lecture 38 Fubini general problem 7

Lecture 39 Fubini general problem 8

Section 4: Change of variables in double integrals

Lecture 40 Why change of variables, comparison

Lecture 41 Jacobian and the change in area element after substitution

Lecture 42 One formula for both substitutions

Lecture 43 Inverse substitution

Lecture 44 Direct substitution

Lecture 45 Change of variables, problem 3

Lecture 46 Change of variables, problem 4

Lecture 47 Change of variables, problem 5

Lecture 48 Change of variables, problem 6

Lecture 49 Change of variables, problem 7

Lecture 50 Double integrals, wrap-up

Section 5: Improper integrals

Lecture 51 Improper integrals, repetition Calc 2

Lecture 52 Improper double integrals

Lecture 53 Calc 3 helps Calc 2, problem 1

Lecture 54 Improper integrals, problem 2

Lecture 55 Improper integrals, problem 3

Lecture 56 Improper integrals, problem 4

Lecture 57 Improper integrals, problem 5

Lecture 58 Improper integrals, problem 6

Lecture 59 Mean value theorem

Lecture 60 Mean value theorem, example 1

Lecture 61 Mean value theorem, example 2

Section 6: Triple integrals

Lecture 62 Triple integrals: notation, definition and properties

Lecture 63 Integration by inspection

Lecture 64 Fubini

Lecture 65 Problem 1

Lecture 66 Problem 2

Lecture 67 Problem 3

Lecture 68 Problem 4

Lecture 69 Area and volume in different ways

Lecture 70 Volume of a tetrahedron

Section 7: Change of variables in triple integrals

Lecture 71 Change of variables in triple integrals

Lecture 72 Change of variables, problem 1

Lecture 73 Change of variables, problem 2

Lecture 74 Change of variables, problem 3

Lecture 75 Change of variables, problem 4

Lecture 76 Change of variables, problem 5

Lecture 77 Change of variables, wrap-up

Section 8: Applications of multiple integrals

Lecture 78 Applications of multiple integrals, area and volume

Lecture 79 Applications of multiple integrals, mass

Lecture 80 Applications of multiple integrals, mass centre, centroid

Lecture 81 Applications of multiple integrals, surface area

Lecture 82 Surface area, problem 1

Lecture 83 Surface area, problem 2

Lecture 84 Surface area, problem 3

Lecture 85 Surface area, problem 4

Section 9: Vector fields

Lecture 86 Different kinds of functions and their visualisation

Lecture 87 Vector fields, some examples

Lecture 88 Vector fields, definition, notation, plot and domain

Lecture 89 Streamlines

Lecture 90 Streamlines problem 1

Lecture 91 Streamlines problem 2

Lecture 92 Streamlines problem 3

Lecture 93 Streamlines problem 4

Lecture 94 Streamlines problem 5

Lecture 95 Streamlines problem 6

Section 10: Conservative vector fields

Lecture 96 Is each vector field a gradient to some function? Computations.

Lecture 97 Is each vector field a gradient to some function? Geometry.

Lecture 98 Conservative vector fields and equipotential lines

Lecture 99 Schwarz' theorem, a repetition

Lecture 100 Hessian vs Jacobian

Lecture 101 The necessary conditions for conservative vector fields

Lecture 102 Example 1: electrostatic field

Lecture 103 Example 2: gravitational field

Lecture 104 Conservative vector fields and their potentials, problem 1

Lecture 105 Conservative vector fields and their potentials, problem 2

Lecture 106 Conservative vector fields and their potentials, problem 3

Lecture 107 Conservative vector fields and their potentials, problem 4

Section 11: Line integrals of functions

Lecture 108 Line integrals, notation

Lecture 109 Line integrals of functions, applications and properties

Lecture 110 Line integrals of functions, problem 1

Lecture 111 Line integrals of functions, problem 2

Lecture 112 Line integrals of functions, problem 3

Lecture 113 Line integrals of functions, problem 4

Section 12: Line integrals of vector fields

Lecture 114 Line integrals of vector fields, notation, definition and application

Lecture 115 Line integrals of vector fields, properties

Lecture 116 Line integrals of vector fields, problem 1 from definition

Lecture 117 Line integrals of vector fields, problem 2 from definition

Lecture 118 Line integrals of vector fields, problem 3 from definition

Lecture 119 Line integrals of vector fields, differential formula

Lecture 120 Line integrals of vector fields, differential fomula, problem 4

Lecture 121 Fundamental theorem for conservative vector fields

Lecture 122 Path independence of line integrals

Lecture 123 Path independence, problem 5

Lecture 124 Path independence, problem 6

Lecture 125 Path independence, problem 7

Lecture 126 Path independence, problem 8

Lecture 127 Path independence, problem 9

Lecture 128 Line integrals of vector fields, wrap-up

Section 13: Surfaces

Lecture 129 Why surfaces and what they are

Lecture 130 Different ways of defining surfaces

Lecture 131 Boundary of a surface; closed and composite surfaces

Lecture 132 Normal vector and orientation of a surface

Lecture 133 Normal vectors to some important surfaces

Lecture 134 Surface element, both for surfaces defined as graphs and parametric surfaces

Section 14: Surface integrals

Lecture 135 Surface integrals: notation

Lecture 136 Surface integrals of functions: definition and applications

Lecture 137 Surface integrals of functions: computations and properties

Lecture 138 Surface integrals of functions, problem 1

Lecture 139 Surface integrals of functions, problem 2

Lecture 140 Surface integrals of functions, problem 3

Lecture 141 Surface integrals of functions, problem 4

Section 15: Oriented surfaces and flux integrals

Lecture 142 Orientation of a surface which agrees with orientation of its boundary

Lecture 143 Flux integrals: notation, definition, computations and applications

Lecture 144 Flux integrals: properties

Lecture 145 Flux integrals, problem 1

Lecture 146 Flux integrals, problem 2

Lecture 147 Flux integrals, problem 3

Section 16: Gradient, divergence and curl

Lecture 148 Derivatives: gradient, rotation (curl), divergence

Lecture 149 Curl, an interpretation: irrotational vector fields

Lecture 150 Rotation (curl) of a 3D vector field, an example

Lecture 151 Divergence, an interpretation; solenoidal vector fields

Lecture 152 Product rules for gradient, divergence and curl

Lecture 153 Product rule for gradient

Lecture 154 Product rule for divergence

Lecture 155 Product rule for curl

Lecture 156 Curl of each vector field is solenoidal; vector potentials

Lecture 157 Conservative vector fields are irrotational

Lecture 158 Laplacian

Section 17: Green's theorem in the plane

Lecture 159 Green's theorem: our third fundamental theorem

Lecture 160 Green's theorem: formulation of the theorem

Lecture 161 Green's theorem: proof

Lecture 162 Green's theorem: three common issues and how to handle them

Lecture 163 Green's theorem: problem 1

Lecture 164 Green's theorem: problem 2

Lecture 165 Green's theorem: problem 3

Lecture 166 Green's theorem: problem 4

Lecture 167 Green's theorem: problem 5

Lecture 168 Magnetic field and enclosing singularities

Lecture 169 Necessary and sufficient condition for (plane) conservative vector fields

Lecture 170 Area with help of Green's theorem

Section 18: Gauss' theorem (Divergence theorem) in 3-space

Lecture 171 Gauss' theorem: our fourth fundamental theorem

Lecture 172 Gauss' theorem: formulation of the theorem

Lecture 173 Gauss' theorem: proof

Lecture 174 Gauss' theorem: three common issues and how to handle them

Lecture 175 Gauss' theorem: problem 1

Lecture 176 Gauss' theorem: problem 2

Lecture 177 Gauss' theorem: problem 3

Lecture 178 Gauss' theorem: problem 4

Lecture 179 An example where Gauss' theorem cannot be applied

Lecture 180 Volume of a cone

Section 19: Stokes' theorem

Lecture 181 Stokes' theorem: our fifth fundamental theorem

Lecture 182 Stokes' theorem: formulation

Lecture 183 Stokes' theorem: proof

Lecture 184 Stokes' theorem: how to use it

Lecture 185 Stokes' theorem: how it helps; example 1

Lecture 186 Stokes' theorem: verification on an example (example 2)

Lecture 187 Stokes' theorem: example 3

Lecture 188 Stokes' theorem: surface independence, example 4

Lecture 189 Stokes' theorem: surface integral of curl over closed surfaces, regular domains

Lecture 190 Simply connected sets in space

Lecture 191 Necessary and sufficient condition for conservative vector fields

Lecture 192 Stokes' theorem, problem 1

Lecture 193 Stokes' theorem, problem 2

Lecture 194 Stokes' theorem, problem 3

Lecture 195 Stokes' theorem, problem 4

Lecture 196 Stokes' theorem, problem 5

Lecture 197 Stokes' theorem, problem 6

Lecture 198 Stokes' theorem for computations of surface integrals, vector potentials

Section 20: Wrap-up Multivariable calculus / Calculus 3, part 2 of 2

Lecture 199 Calculus 3, wrap-up

Lecture 200 Final words

Section 21: Extras

Lecture 201 Bonus Lecture

University and college engineering



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Muay Thai, Kick Boxing Training: From Zero To Pro
Last updated 3/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 26.96 GB | Duration: 11h 13m

Best of Kickboxing, Muay Thai, Boxing, Martial arts, how to learn Self-Defense while burning FAT and getting fit.



What you'll learn
How to learn Combat sports while burning FAT and getting fit
This program has something for any level learners.
You will learn; fight stances, how to throw impactful punches, bone-breaking kick techniques, elbow and knee strikes
Total of 12 different exercise programs basically you will get fit, burn fat and learn how to fight!
This program includes;3 different levels BOXING training ,3 different levels KICKBOXING training, 3 different levels MUAY THAI, 3 different levels KICK training
You will also learn how to become more flexible by STRETCHING training lessons,
If you put the time and effort, it is possible to achieve split legs with these lessons.
As you trainer, I will be available for your questions and I will do my best for you to succeed with your goals!

Requirements
You don t need any experiments for this program.

Description
Muay Thai, Kick Boxing Training: From Zero to Pro (Need punching bag)Hello everyone, I am Sensei Barbaros, a master of 6 different martial arts. My profession is kickboxing personal trainer. I also teach other self-defense systems to my students. If you want to know more about me, please google my name. (Most of the content you will find is in my native language but some videos you will find will give you an idea of my skills and competence). I have created a heavy bag system for those who want to learn and practice martial arts at home, in the gym, or anywhere. I want to be an online instructor for you, so ask me if you have any questions. I will get back to you as soon as possible.Some of the techniques I teach in my training course videos; Kickboxing, Muay Thai, Boxing, and some self-defence techniques. This kickboxing training course covers the best kickboxing techniques and teaches the basics of Muay Thai kickboxing. This course will allow you to master Muay Thai Kickboxing. You will learn many combinations from basic to advanced levels.In my Udemy heavy bag system, all training videos show 3 different levels; beginners, intermediate, and advanced students. 12 unique lessons in total.You can choose your training program according to your fitness level.Boxing, kickboxing, Muaythai training with a punching bag offers many benefits:Increased Cardiovascular Endurance: Training with a punching bag requires you to be in constant motion and increases your heart rate. This increases your cardiovascular endurance and improves your overall health.Increased Strength and Endurance: Impacts against the punching bag help to strengthen and increase the endurance of your body muscles. There are many exercises that specifically target your upper body, arm and leg muscles.Improved Coordination and Reflexes: Punches against the punching bag improve your ability to coordinate your body and speed up your reflexes. It contributes to the development of your hand-eye coordination for fast and accurate strokes.Stress Reduction and Increased Self-confidence: Hitting a punching bag can help you reduce stress and discharge negative energy. Also, with the development of your boxing or kickboxing skills, your self-confidence can increase.Stimulating Fat Burning: An intense punching bag workout increases calorie burn and promotes fat burning. This can help with weight control and improve your body composition.Increased Discipline and Focus: Punching training is a sport that requires discipline and improves your ability to focus. It requires constant practice to improve your technical skills and achieve your goals.

Overview
Section 1: BEFORE YOU START

Lecture 1 Fit-kickboxing trailer

Lecture 2 Start here (Training intensity, frequency and personalization)

Section 2: FOOT WORKS-DISTANCE-CREATING ANGLES

Lecture 3 How to do fighting stance?

Lecture 4 How to do orthodox and southpaw stances?

Lecture 5 Fundamental of foot works - Control to distance

Lecture 6 Pivot, steps, angles

Lecture 7 How to do horse stance ?

Section 3: PUNCHES-ELBOWS STRIKES

Lecture 8 How to do straight punches (Jab-Cross)

Lecture 9 How to do uppercut punch?

Lecture 10 How to do hook punch?

Lecture 11 How to do superman punch

Lecture 12 How to do spinning back fist

Lecture 13 Elbows techniques

Lecture 14 How to do liver punch?

Section 4: KICK TECHNIQUES

Lecture 15 How to do teep kicks? (front kick-Push kick)

Lecture 16 How to do side kick?

Lecture 17 How to do back kick?

Lecture 18 How to do knees strikes?

Lecture 19 How to do round kick?

Lecture 20 How to do jumping switch push kick?

Lecture 21 How to do leg kick?

Section 5: BLOCK TECHNIQUES

Lecture 22 How to blok all punches

Lecture 23 How to block low kick?

Section 6: STRETCHING BASICS

Lecture 24 TOTAL BODY STRETCHING (SPLIT LEGS)

Section 7: WORKOUT CALENDAR (3 DIFFERENT LEVEL)

Lecture 25 LEVEL 1- CALENDAR

Lecture 26 LEVEL 2- CALENDAR

Lecture 27 LEVEL 3- CALENDAR

Lecture 28 if you can't download from udemy. You can download from my drive

Section 8: ALL TRAINING LESSONS

Lecture 29 BOXING LEVEL-1

Lecture 30 BOXING LEVEL-2

Lecture 31 BOXING LEVEL-3

Lecture 32 KICKBOXING LEVEL-1

Lecture 33 KICKBOXING LEVEL-2

Lecture 34 KICKBOXING LEVEL-3

Lecture 35 MUAY THAI LEVEL-1

Lecture 36 MUAY THAI LEVEL-2

Lecture 37 MUAY THAI LEVEL-3

Lecture 38 K CK LEVEL-1

Lecture 39 KICK LEVEL-2

Lecture 40 KICK LEVEL-3

Section 9: BONUS

Lecture 41 SHADOW BOXING-1

Lecture 42 SHADOW BOXING-2

Lecture 43 SHADOW BOXING-3

Lecture 44 SHADOW BOXING-4

Lecture 45 SHADOW BOXING-5

Lecture 46 SHADOW BOXING-6

Lecture 47 SHADOW BOXING-7

Who wants to learning, improving fighting skill and build up better body,Who wants to fat burning fast



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The Complete 2024 Web Development Bootcamp
Last updated 6/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Language: English + All subtitles | Duration: 61h 44m | Size: 50.3 GB

Become a Full-Stack Web Developer with just ONE course. HTML, CSS, Javascript, Node, React, PostgreSQL, Web3 and DApps



What you'll learn
Build 16 web development projects for your portfolio, ready to apply for junior developer jobs.
Learn the latest technologies, including Javascript, React, Node and even Web3 development.
After the course you will be able to build ANY website you want.
Build fully-fledged websites and web apps for your startup or business.
Work as a freelance web developer.
Master frontend development with React
Master backend development with Node
Learn professional developer best practices.


Requirements
No programming experience needed - I'll teach you everything you need to know
A computer with access to the internet
No paid software required
I'll walk you through, step-by-step how to get all the software installed and set up


Description
Welcome to the Complete Web Development Bootcamp, the only course you need to learn to code and become a full-stack web developer. With 150,000+ ratings and a 4.8 average, my Web Development course is one of the HIGHESTRATED courses in the history of Udemy!At 62+ hours, this Web Development course is without a doubt the most comprehensive web development course available online. Even if you have zero programming experience, this course will take you from beginner to mastery. Here's why:The course is taught by the lead instructor at the App Brewery, London's leading in-person programming bootcamp.The course has been updated to be 2024 ready and you'll be learning the latest tools and technologies used at large companies such as Apple, Google and Netflix.This course doesn't cut any corners, there are beautiful animated explanation videos and tens of real-world projects which you will get to build.The curriculum was developed over a period of four years, with comprehensive student testing and feedback.We've taught over a million students how to code and many have gone on to change their lives by becoming professional developers or starting their own tech startup.You'll save yourself over 12,000 USD by enrolling, but still get access to the same teaching materials and learn from the same instructor and curriculum as our in-person programming bootcamp.The course is constantly updated with new content, with new projects and modules determined by students - that's you!We'll take you step-by-step through engaging video tutorials and teach you everything you need to know to succeed as a web developer.The course includes over 62 hours of HD video tutorials and builds your programming knowledge while making real-world websites and web apps.Throughout this comprehensive course, we cover a massive amount of tools and technologies, including:Front-End Web DevelopmentHTML 5CSS 3FlexboxGridBootstrap 5Javascript ES6DOM ManipulationjQueryBash Command LineGit, GitHub and Version ControlBackend Web DevelopmentNode.jsNPMExpress.jsEJSRESTAPIsDatabasesSQLPostgreSQLAuthenticationReact.jsReact HooksWeb DesignDeployment with GitHub PagesWeb3 Development on the Internet ComputerBlockchain technologyToken contract developmentNFT minting, buying and selling logicBy the end of this course, you will be fluently programmingand be ready to make any website you can dream of.You'll also build a portfolio of over 32+ websites that you can show off to any potential employer.Sign up today, and look forward to:Animated Video LecturesCode Challenges and Coding ExercisesBeautiful Real-World ProjectsQuizzes & Practice TestsDownloadable Programming Resources and CheatsheetsOur best selling 12 Rules to Learn to Code eBook12,000 USD+worth of web development bootcampcourse materials and course curriculumDon't just take my word for it, check out what existing students have to say about the course:"Angela is just incredible, awesome and just fantastic in this course. I've never had such an instructor; detailed in every aspect of the course, gives precise explanations, gives you the anxiety to learn etc. She's got that ability to make fun while explaining things for better understanding. I really love this course." - Ekeu MonkamUlrich"Angela is very thorough without ever being boring. I've taken MANY online courses in my life including my Bachelors and Masters degrees. She is by far the best instructor I've ever had. This course is packed with thousands of dollars worth of great instruction, and paced well enough for anyone to pick coding up and run with it- Thank you!" - J Carlucci"Love the way Angela explains things. Easy to follow and full of logic. I can say she must have spent a lot of energy creating this great course. Thank you and I recommend it to all who's interested in coding!" - Yiqing Zheng"So far (on my third day) this course has taught me more than I was able to learn in multiple other programming courses. This course is clearly outlined and builds upon itself gradually in an easy to understand way." - Normal Ramsey"This course will take you from beginner to intermediate level for real. If you don't know how to put together the pieces of web development this is what you're looking for. Angela explains in an amazing way by creating projects all the way during this course, explaining the concepts in real practice. Thank you very much, Angela. I will always consider you my mentor. Look forward to taking more courses with you." - Moises Dionisio Cruz"An amazing course, perfect for absolute beginners at the start of their coding journey! Angela is an amazing tutor and can explain in the most simple and comprehensible way even complex coding notions. Learning web development cannot get any more fun!" - Zoe Moyssoglou"It's a different approach to teaching Web Development. I like that you are given everything possible to succeed from the onset." - Ronick ThomasThe tutor is simply AMAZING, by far the best tutor I have ever had. I would give her 10 stars out of 5. She is not just punching the code and talking to herself, but she is actually explaining things. She keeps on giving really useful hints and she will give you a great load of other references. I always knew what I was doing and why I was doing it. All the extra challenges have just made me remember and understand things better. - Peter DlugosREMEMBER I'm so confident that you'll love this course thatwe're offering a FULL money-back guarantee for30 days! So it's a complete no-brainer, sign up today with ZEROrisk and EVERYTHING to gain.So what are you waiting for?Click the buy now button and join the world's highest-rated web development course.

Who this course is for
If you want to learn to code through building fun and useful projects, then take this course.
If you want to start your own startup by building your own websites and web apps.
If you are a seasoned programmer, then take this course to to get up to speed quickly with the latest frameworks and NodeJS
If you want to take ONE COURSE and learn everything you need to know about web development, take this course


Homepage

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Real Estate Investing Secrets by James Orr
Published 8/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 32.63 GB | Duration: 53h 36m

Learn everything you need to invest in real estate... 7 strategies covered plus financing, down payments and much more.



What you'll learn
Master key investment strategies, including Buy and Hold, House Hacking, BRRRR, Flipping, Wholesaling, and Creative Financing.
Optimize property management skills, from tenant acquisition to handling challenges, and learn effective property manager hiring and oversight.
Enhance financial strategies by understanding financing, down payments, ROI, Return on Equity, and tax optimization for maximum returns.
Mitigate risks and protect assets through risk management, insurance, asset protection, and informed decision-making using market stats and rent comps.

Requirements
No real estate investing experience required; you'll learn everything you need to know.
For using the spreadsheets, you'll want a recent version of Microsoft Excel.

Description
Unlock the secrets of real estate investing with our comprehensive 46-module, 53-hour course, "Real Estate Investing Secrets." This course is designed for both beginners and experienced investors who want to take their real estate knowledge to the next level.What You'll Learn:Investment Strategies:Understand the fundamentals of Buy and Hold, House Hacking, Nomad , BRRRR, Flipping, Wholesaling, and Creative Financing.Learn how to analyze deals effectively with a free copy of The World's Greatest Real Estate Deal Analysis Spreadsheet .Discover strategies to improve cash flow and achieve financial independence.Property Management:Master tenant acquisition and retention.Learn marketing techniques to find tenants and effective screening methods.Handle tenant challenges with confidence.Gain insights into self-managing properties and hiring property managers.Financial Strategies:Explore financing options and compare mortgages.Understand down payment strategies, including low and no-down payment options.Grasp advanced concepts like ROI and Return on Equity.Optimize your taxes to maximize returns and minimize liabilities.Risk Management and Asset Protection:Identify and mitigate risks in real estate investments.Learn about asset protection and insurance.Use market stats and rent comps for informed decision-making.Join us to gain the knowledge and skills needed to succeed in real estate investing. Start your journey to financial independence and real estate success today!Your instructor, James Orr, is a financially independent real estate investor who has been professionally teaching real estate investing since 2003. He created the Real Estate Financial Planner software, The World's Greatest Real Estate Deal Analysis Spreadsheet and is author of several books on various aspects of real estate investing.

Overview
Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Secrets of the 7 Ways to Invest in Real Estate

Lecture 3 Secret Market Stats

Lecture 4 Secrets to Marketing to Find Tenants

Lecture 5 Secrets of Tenant Screening

Lecture 6 Secrets of Property Management

Lecture 7 Secrets of Buy and Hold Real Estate Investing

Lecture 8 Secrets of Overcoming Tenant Challenges

Lecture 9 Secrets of Hiring and Managing a Property Manager

Lecture 10 Secrets of Asset Protection

Lecture 11 Secrets of Nomad Real Estate Investing

Lecture 12 Secrets of Retirement Catch-Up

Lecture 13 Secrets to Selecting an Investor-Friendly Real Estate Agent

Lecture 14 Secrets to Down Payments

Lecture 15 Secrets to Financing

Lecture 16 Secrets to House Hacking

Lecture 17 Secrets of Return on Investment

Lecture 18 Secrets to Getting Your First Deal Done

Lecture 19 Secrets of Bookkeeping

Lecture 20 Secrets of Flipping Properties

Lecture 21 Secrets of Analyzing Deals

Lecture 22 Secrets of Comparing Mortgages and Lenders

Lecture 23 Secrets to Paperwork to Buy and Sell

Lecture 24 Secrets to BRRRR

Lecture 25 Secrets to Risk Mitigation and Elimination

Lecture 26 Secrets to Low and Nothing Down Strategies

Lecture 27 Secrets to Improving Cash Flow

Lecture 28 Secrets of Contract to Close

Lecture 29 Secrets of Insurance

Lecture 30 Secrets of Rent Comps

Lecture 31 Secrets of Wholesaling

Lecture 32 Secrets of Inspections

Lecture 33 Secrets of Capital Expenses

Lecture 34 Secrets of Comparable Sales

Lecture 35 Secrets of Buying Down Mortgage Interest Rates

Lecture 36 Secrets of Short-Term Rentals

Lecture 37 Secrets of New Construction

Lecture 38 Secrets of 1031 Exchanges

Lecture 39 Secrets of Creative Financing

Lecture 40 Secrets of Analyzing Multi-Family Properties

Lecture 41 Secret Horror Stories

Lecture 42 Secrets of Being Preferred Client

Lecture 43 Secrets of Partnerships

Lecture 44 Secrets of ROI versus Return on Equity

Lecture 45 Secrets of Cash on Cash ROI and Cap Rates

Lecture 46 Secrets of Tax Optimization and Minimization

Lecture 47 Secrets of Financial Independence

Real estate investors and those interested in becoming real estate investors.,Real estate agents, brokers and those wanting to serve real estate investor clients.



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Professional Informatica Power Center ETL Course
Last updated 11/2021
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 30.96 GB | Duration: 33h 31m

Professional Informatica Power Center ETL Course with full Hands on Experience explained with real time scenarios



What you'll learn
Beginners to Advance concepts covered as part of Informatica Power center - Developer Role. All concepts explained with real time scenarios. This course provide very good hands on experience in Informatica Power center tool

Requirements
Basics of Database

Description
Hello Candidates,If you are looking to get skilled in Informatica Power center ETL tool, then you are at the right place.If you are a Beginner, Fresher or an experience candidate who is willing to learn Informatica Power Center ETL for a Developer role, then this course provides you the required knowledge and hands on experience with real time scenarios explained and implemented in a very structured manner. Total course duration is 31+ hours where every single concept is explained practically with real time examples, which will give confidence to candidates when they get into an interview or when they work on a real time Infromatica project.The Course starts with Intro, covering every transformations, basic and advance features.The Course also contains very useful Interview material which can help you in clearing interviews. It also includes documents on Database, SQL, PLSQL and UNIX where important topics are covered which help you in interviews.Post the course, you can confidently clear any Informatica interviews or work on any real time Informatica projects subjected you have practiced each and every concept explained here.Prerequisite for the Course:Basics of Database.Keen to learn most popular ETL tool in IT marketTools Used:Oracle 11g Xpress EditionSQL DeveloperInformatica Power Center 9.6.1

Overview
Section 1: Introduction & implementing different Transformations with real time scenarios

Lecture 1 Introduction

Lecture 2 DatawareHouse Continued

Lecture 3 Informatica Power Center tool walkthrough

Lecture 4 Informatica Source & Target

Lecture 5 Source Qualifier Transformation 1

Lecture 6 Source Qualifier Transformation 2

Lecture 7 Source Qualifier Transformation 3

Lecture 8 Filter Transformation

Lecture 9 Sorter Transformation

Lecture 10 Aggregator Transformation

Lecture 11 Aggregator Transformation Continued & Sequence Generator Transformation

Lecture 12 Removing Duplicates in Informatica

Lecture 13 Router Transformation

Lecture 14 Rank Transformation

Lecture 15 Union Transformation

Lecture 16 Expression Transformation

Lecture 17 Expression Transformation Continued

Lecture 18 Expression Transformation Continued

Lecture 19 Expression Transformation Continued

Lecture 20 Expression Transformation Continued

Lecture 21 Expression Transformation Continued

Lecture 22 Expression Transformation Continued

Lecture 23 Expression Transformation Continued

Lecture 24 Expression Transformation Continued

Lecture 25 Joiner Transformation

Lecture 26 Joiner Transformation Continued

Lecture 27 Joiner Transformation Continued

Lecture 28 TransactionControl Transformation

Lecture 29 TransactionControl Transformation Continued

Lecture 30 TransactionControl Transformation Continued

Lecture 31 Normalizer Transformation

Lecture 32 Normalizer Transformation Continued

Lecture 33 StoredProcedure Transformation

Lecture 34 SQL Transformation

Lecture 35 UpdateStrategy Transformation

Section 2: Lookup Transformation & Slow Changing Dimensions

Lecture 36 Lookup Transformation - Connected

Lecture 37 Lookup Transformation - Connected - Continued

Lecture 38 Lookup Transformation - UnConnected

Lecture 39 Lookup Transformation - UnConnected - Continued

Lecture 40 SCD - Introduction

Lecture 41 SCD Type 1 - Implemented with Static Lookup Cache

Lecture 42 SCD Type 1 - Implemented with Dynamic Lookup Cache

Lecture 43 SCD Type 2 - Implemented with Dynamic Lookup Cache - Continued

Lecture 44 SCD Type 2 - Implemented with Dynamic Lookup Cache - Continued

Lecture 45 Persistent Lookup Cache

Lecture 46 Persistent Lookup Cache - Continued

Section 3: Advance Concepts

Lecture 47 Indirect File Load

Lecture 48 Target Load Plan

Lecture 49 Mapplets

Lecture 50 Reusable Transformation

Lecture 51 Mapping Parameter and Parameter File

Lecture 52 Parameter File Continued & Mapping Variables

Lecture 53 Mapping Variables Continued & Version Control

Lecture 54 Version Control & Depoyment (Import and Export Objects)

Lecture 55 Workflow Monitor - Different Tasks

Lecture 56 Workflow Monitor - Different Tasks - Continued

Lecture 57 Workflow Monitor - Different Tasks - Continued

Lecture 58 Performance Tuning

Lecture 59 Performance Tuning Continued

Section 4: Interview Prepartion Documents

Lecture 60 Documents for Interview Preparation

Freshers or Experienced candidates who are looking for Job change, Hands on experience for those who are moving to work under Informatica Project



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Master Laravel for Beginners & Intermediate 2024
Last updated 7/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 54h 13m | Size: 26.6 GB

Master Laravel: Build 5 Real-World Projects! Unlock Web Development Skills with In-Demand PHP Framework!



What you'll learn
Laravel Setup: Learn how to setup and configure Laravel.
MVC Architecture: Understand Laravel's MVC design pattern.
Routing: Master Laravel's critical routing system.
Blade Templating: Use Laravel's Blade for managing views.
Eloquent ORM: Explore database management with Eloquent ORM.
Database Seeding: Learn migrations and seeding in Laravel.
RESTful APIs: Develop APIs handling JSON requests/responses.
Auth Systems: Build secure apps with Laravel's auth systems.
Front-end Integration: Integrate Laravel with front-end libraries.
Real-world Apps: Create five practical projects in Laravel.


Requirements
Bring along a foundational understanding of PHP
Equipped with the basics of web development


Description
Get started on your Laravel journey with our comprehensive course designed for beginners! Laravel has emerged as the top pick among PHP developers for its simplicity, high performance, and wide-ranging suite of tools that streamline the web development process.As PHP 8 unfolds, Laravel is all set to redefine your perception of PHP altogether. It's like the Ruby on Rails of the PHP universe, and perhaps even superior. It's expressive, fun, fluent, easy to master, and a breeze to use. Both newcomers and seasoned professionals can't seem to get enough of it! Now, you have the opportunity to join this community of satisfied individuals who enjoy building things and earn while doing so_Our Laravel course is all you'll ever need to understand everything about this robust framework setting it up, getting started, and leveraging its powerful capabilities for modern web development. We'll cover in depth 5 key projects in 2023:Task ListBook ReviewsEvent Management APILivewire Poll AppJob Portal (our most extensive project)Let's pause the introduction here and take a look at what our students are saying about my courses:"Amazing course! In-depth explanations, perfect talking pace, talks slow and is direct to the point. I had no previous knowledge in Symfony before starting, and this course gave me the confidence to start developing real-world apps using Symfony. You will learn a lot of the Symfony framework, and some other cool techniques like Ajax Calls, Testing, Server configuration and Continuous Deployment of your code.""This is a Fantastic Course for Symfony exceeds expectations!! Piotr is an experienced, knowledgeable, and serious developer. This course not only helped me to learn the inner workings of Symfony but also improve my OO PHP syntax, improve on git, get a better understanding of development stages, introduced me to cloud deployment ... even CI/CD. From where I stand as a beginner, it's a mini MVC developer course. Couldn't recommend it enough. You will certainly learn. Thanks, Piotr.""Did the instructor write Symfony? He is very very knowledgeable.""This guy is by far the best instructor I've ever come across. I took his other Symfony course and advanced my understanding of the Framework more in a week than I have in the past year. This course has filled a ton of gaps. He understands the complex learning curve and it's the relationship to the content he covers thoroughly... a rarity in teaching, never mind coding complex Frameworks. Just stick with the course.. you'll have that 'Aha!' moment. I'm working on my own Symfony Framework based project(s) as I take this course... between Piotr, Github, and Google... it's getting done! Two of the most effective courses I've ever taken. I can't wait for what he puts out next."Don't delay!If you want to invest your time wisely, this course could be the most productive period you will have. You'll feel completely at home with Laravel by the end of it.Even if you're pressed for time, we've got you covered. The course is designed to cater to your schedule. You can learn at your own pace. The first section will introduce you to Laravel's basics, getting you started in just 3-4 hours. Once you're ready for more, the course is here, waiting for you to dive in.

Who this course is for
This course is tailored for budding PHP developers seeking their first in-depth exposure to a web development framework


Homepage

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Calculus 3 (Multivariable Calculus), Part 1 Of 2
Last updated 5/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 53.69 GB | Duration: 47h 54m

Towards and through the vector fields, part 1 of 2: Functions of several real variables and vector-valued functions



What you'll learn
How to solve problems in multivariable calculus (illustrated with more than 200 solved problems) and why these methods work.
Parameterize some curves (straight lines, circles, ellipses, graphs of functions of one variable, intersections of two surfaces).
Describe position, velocity, speed and acceleration; compute arc length of parametric curves; arc length parametrization.
Limits, continuity and differentiability for functions of several variables. Theory, geometric intuitions, and lots of problem solving.
Several variants of the Chain Rule, involving different kinds functions. You will also learn how to apply these variants of the Chain Rule for problem solving.
Several variants of the Implicit Function Theorem, with various geometrical interpretations; problem solving.
Optimization of functions of several variables, both on open domains and on compact domains (Lagrange multipliers on the boundary, etc.).

Requirements
Calculus 1 and 2
Some Linear Algebra (a brief summary of some topics is contained in Section 2 of this course)
You are always welcome with your questions. If something in the lectures is unclear, please, ask. It is best to use QA, so that all the other students can see my additional explanations about the unclear topics. Remember: you are never alone with your doubts, and it is to everybody's advantage if you ask your questions on the forum.

Description
Calculus 3 (multivariable calculus), part 1 of 2Towards and through the vector fields, part 1 of 2(Chapter numbers in Robert A. Adams, Christopher Essex: Calculus, a complete course. 8th or 9th edition.)C0: Introduction to the course; preliminaries (Chapter 10: very briefly; most of the chapter belongs to prerequisites) S1. About the courseS2. Analytical geometry in R^n (n = 2 and n = 3): points, position vectors, lines and planes, distance between points (Ch.10.1)S3. Conic sections (circle, ellipse, parabola, hyperbola)S4. Quadric surfaces (spheres, cylinders, cones, ellipsoids, paraboloids etc) (Ch.10.5)S5. Topology in R^n: distance, open ball, neighbourhood, open and closed set, inner and outer point, boundary point (Ch.10.1)S6. Coordinates: Cartesian, polar, cylindrical, spherical coordinates (Ch.10.6)You will learn: to understand which geometrical objects are represented by simpler equations and inequalities in R^2 and R^3, determine whether a set is open or closed, if a point is an inner, outer or boundary point, determine the boundary points, describe points and other geometrical objects in the different coordinate systems.C1: Vector-valued functions, parametric curves (Chapter 11: 11.1, 11.3)S7. Introduction to vector-valued functionsS8. Some examples of parametrisationS9. Vector-valued calculus; curve: continuous, differentiable and smoothS10. Arc lengthS11. Arc length parametrisationYou will learn: Parametrise some curves (straight lines, circles, ellipses, graphs of functions of one variable);if r(t) = (x(t), y(t), z(t)) is a function describing a particle s position in R^3 with respect to time t, describe position, velocity, speed and acceleration; compute arc length of parametric curves, arc length parametrisation.C2: Functions of several variables; differentiability (Chapter 12) S12. Real-valued functions in multiple variables, domain, range, graph surface, level curves, level surfacesYou will learn: describe the domain and range of a function, Illustrate a function f(x,y) with a surface graph or with level curves.S13. Limit, continuityYou will learn: calculate limit values, determine if a function has limit value or is continuous at one point, use common sum-, product-, ... rules for limits.S14. Partial derivative, tangent plane, normal line, gradient, JacobianYou will learn: calculate first-order partial derivatives, compute scalar products (two formulas) and cross pro- duct, give formulas for normals and tangent planes; understand functions from R^n to R^m, gradients and Jacobians.S15. Higher partial derivatesYou will learn: compute higher order partial derivatives, use Schwarz theorem. Solve and verify some simple PDE's.S16. Chain rule: different versionsYou will learn: calculate the chain rule using dependency diagrams and matrix multiplication.S17. Linear approximation, linearisation, differentiability, differentialYou will learn: determine if a function is differentiable in a point, linearisation of a real-valued function, use linearisation to derive an approximate value of a function, use the test for differentiability (continuous partial derivatives), and properties of differentiable functions.S18. Gradient, directional derivativesYou will learn: calculate the gradient, find the direction derivative in a certain direction, properties of gradients, understand the geometric interpretation of the directional derivative, give a formula for the tangent and normal lines to a level curve.S19. Implicit functionsYou will learn: calculate the Jacobian determinant, derive partial derivatives with dependent and free variables of implicit functions.S20. Taylor's formula, Taylor's polynomialYou will learn: derive Taylor's polynomials and Taylor's formula. Understand quadratic forms and learn how to determine if they are positive definite, negative definite, or indefinite.C3: Optimisation of functions of several variables (Chapter 13: 13.1 3)S21. Optimisation on open domains (critical points)S22. Optimisation on compact domainsS23. Lagrange multipliers (optimisation with constraints)You will learn: classify critical points: local max and min, saddle points; find max and min values for a given function and region; use Lagrange multipliers with one or more conditions.ExtrasYou will learn: about all the courses we offer. You will also get a glimpse into our plans for future courses, with approximate (very hypothetical!) release dates.Make sure that you check with your professor what parts of the course you will need for your midterms. Such things vary from country to country, from university to university, and they can even vary from year to year at the same university.A detailed description of the content of the course, with all the 255 videos and their titles, and with the texts of all the 216 problems solved during this course, is presented in the resource file "001 Outline_Calculus3.pdf" under video 1 ("Introduction to the course"). This content is also presented in video 1.

Overview
Section 1: About the course

Lecture 1 Introduction to the course

Section 2: Analytical geometry in the space

Lecture 2 The plane R^2 and the 3-space R^3: points and vectors

Lecture 3 Distance between points

Lecture 4 Vectors and their products

Lecture 5 Dot product

Lecture 6 Cross product

Lecture 7 Scalar triple product

Lecture 8 Describing reality with numbers; geometry and physics

Lecture 9 Straight lines in the plane

Lecture 10 Planes in the space

Lecture 11 Straight lines in the space

Section 3: Conic sections: circle, ellipse, parabola, hyperbola

Lecture 12 Conic sections, an introduction

Lecture 13 Quadratic curves as conic sections

Lecture 14 Definitions by distance

Lecture 15 Cheat sheets

Lecture 16 Circle and ellipse, theory

Lecture 17 Parabola and hyperbola, theory

Lecture 18 Completing the square

Lecture 19 Completing the square, problems 1 and 2

Lecture 20 Completing the square, problem 3

Lecture 21 Completing the square, problems 4 and 5

Lecture 22 Completing the square, problems 6 and 7

Section 4: Quadric surfaces: spheres, cylinders, cones, ellipsoids, paraboloids etc

Lecture 23 Quadric surfaces, an introduction

Lecture 24 Degenerate quadrics

Lecture 25 Ellipsoids

Lecture 26 Paraboloids

Lecture 27 Hyperboloids

Lecture 28 Problems 1 and 2

Lecture 29 Problem 3

Lecture 30 Problems 4 and 5

Lecture 31 Problem 6

Section 5: Topology in R^n

Lecture 32 Neighbourhoods

Lecture 33 Open, closed, and bounded sets

Lecture 34 Identify sets, an introduction

Lecture 35 Example 1

Lecture 36 Example 2

Lecture 37 Example 3

Lecture 38 Example 4

Lecture 39 Example 5

Lecture 40 Example 6 and 7

Section 6: Coordinate systems

Lecture 41 Different coordinate systems

Lecture 42 Polar coordinates in the plane

Lecture 43 An important example

Lecture 44 Solving 3 problems

Lecture 45 Cylindrical coordinates in the space

Lecture 46 Problem 1

Lecture 47 Problem 2

Lecture 48 Problem 3

Lecture 49 Problem 4

Lecture 50 Spherical coordinates in the space

Lecture 51 Some examples

Lecture 52 Conversion

Lecture 53 Problem 1

Lecture 54 Problem 2

Lecture 55 Problem 3

Lecture 56 Problem 4

Section 7: Vector-valued functions, introduction

Lecture 57 Curves: an introduction

Lecture 58 Functions: repetition

Lecture 59 Vector-valued functions, parametric curves

Lecture 60 Vector-valued functions, parametric curves: domain

Section 8: Some examples of parametrisation

Lecture 61 Vector-valued functions, parametric curves: parametrisation

Lecture 62 An intriguing example

Lecture 63 Problem 1

Lecture 64 Problem 2

Lecture 65 Problem 3

Lecture 66 Problem 4, helix

Section 9: Vector-valued calculus; curve: continuous, differentiable, and smooth

Lecture 67 Notation

Lecture 68 Limit and continuity

Lecture 69 Derivatives

Lecture 70 Speed, acceleration

Lecture 71 Position, velocity, acceleration: an example

Lecture 72 Smooth and piecewise smooth curves

Lecture 73 Sketching a curve

Lecture 74 Sketching a curve: an exercise

Lecture 75 Example 1

Lecture 76 Example 2

Lecture 77 Example 3

Lecture 78 Extra theory: limit and continuity

Lecture 79 Extra theory: derivative, tangent, and velocity

Lecture 80 Differentiation rules

Lecture 81 Differentiation rules, example 1

Lecture 82 Differentiation rules: example 2

Lecture 83 Position, velocity, acceleration, example 3

Lecture 84 Position and velocity, one more example

Lecture 85 Trajectories of planets

Section 10: Arc length

Lecture 86 Parametric curves: arc length

Lecture 87 Arc length: problem 1

Lecture 88 Arc length: problems 2 and 3

Lecture 89 Arc length: problems 4 and 5

Section 11: Arc length parametrisation

Lecture 90 Parametric curves: parametrisation by arc length

Lecture 91 Parametrisation by arc length, how to do it, example 1

Lecture 92 Parametrisation by arc length, example 2

Lecture 93 Arc length does not depend on parametrisation, theory

Section 12: Real-valued functions of multiple variables

Lecture 94 Functions of several variables, introduction

Lecture 95 Introduction, continuation 1

Lecture 96 Introduction, continuation 2

Lecture 97 Domain

Lecture 98 Domain, problem solving part 1

Lecture 99 Domain, problem solving part 2

Lecture 100 Domain, problem solving part 3

Lecture 101 Functions of several variables, graphs

Lecture 102 Plotting functions of two variables, problems part 1

Lecture 103 Plotting functions of two variables, problems part 2

Lecture 104 Level curves

Lecture 105 Level curves, problem 1

Lecture 106 Level curves, problem 2

Lecture 107 Level curves, problem 3

Lecture 108 Level curves, problem 4

Lecture 109 Level curves, problem 5

Lecture 110 Level surfaces, definition and problem solving

Section 13: Limit, continuity

Lecture 111 Limit and continuity, part 1

Lecture 112 Limit and continuity, part 2

Lecture 113 Limit and continuity, part 3

Lecture 114 Problem solving 1

Lecture 115 Problem solving 2

Lecture 116 Problem solving 3

Lecture 117 Problem solving 4

Section 14: Partial derivative, tangent plane, normal line, gradient, Jacobian

Lecture 118 Introduction 1: definition and notation

Lecture 119 Introduction 2: arithmetical consequences

Lecture 120 Introduction 3: geometrical consequences (tangent plane)

Lecture 121 Introduction 4: partial derivatives not good enough

Lecture 122 Introduction 5: a pretty terrible example

Lecture 123 Tangent plane, part 1

Lecture 124 Normal vector

Lecture 125 Tangent plane part 2: normal equation

Lecture 126 Normal line

Lecture 127 Tangent planes, problem 1

Lecture 128 Tangent planes, problem 2

Lecture 129 Tangent planes, problem 3

Lecture 130 Tangent planes, problem 4

Lecture 131 Tangent planes, problem 5

Lecture 132 The gradient

Lecture 133 A way of thinking about functions from R^n to R^m

Lecture 134 The Jacobian

Section 15: Higher partial derivatives

Lecture 135 Introduction

Lecture 136 Definition and notation

Lecture 137 Mixed partials, Hessian matrix

Lecture 138 The difference between Jacobian matrices and Hessian matrices

Lecture 139 Equality of mixed partials; Schwarz' theorem

Lecture 140 Schwarz' theorem: Peano's example

Lecture 141 Schwarz' theorem: the proof

Lecture 142 Partial Differential Equations, introduction

Lecture 143 Partial Differential Equations, basic ideas

Lecture 144 Partial Differential Equations, problem solving

Lecture 145 Laplace equation and harmonic functions 1

Lecture 146 Laplace equation and harmonic functions 2

Lecture 147 Laplace equation and Cauchy-Riemann equations

Lecture 148 Dirichlet problem

Section 16: Chain rule: different variants

Lecture 149 A general introduction

Lecture 150 Variants 1 and 2

Lecture 151 Variant 3

Lecture 152 Variant 3 (proof)

Lecture 153 Variant 4

Lecture 154 Example with a diagram

Lecture 155 Problem solving

Lecture 156 Problem solving, problem 1

Lecture 157 Problem solving, problem 2

Lecture 158 Problem solving, problem 3

Lecture 159 Problem solving, problem 4

Lecture 160 Problem solving, problem 6

Lecture 161 Problem solving, problem 7

Lecture 162 Problem solving, problem 5

Lecture 163 Problem solving, problem 8

Section 17: Linear approximation, linearisation, differentiability, differential

Lecture 164 Linearisation and differentiability in Calc1

Lecture 165 Differentiability in Calc3: introduction

Lecture 166 Differentiability in two variables, an example

Lecture 167 Differentiability in Calc3 implies continuity

Lecture 168 Partial differentiability does NOT imply differentiability

Lecture 169 An example: continuous, not differentiable

Lecture 170 Differentiability in several variables, a test

Lecture 171 Wrap-up: differentiability, partial differentiability, and continuity in Calc3

Lecture 172 Differentiability in two variables, a geometric interpretation

Lecture 173 Linearization: two examples

Lecture 174 Linearization, problem solving 1

Lecture 175 Linearization, problem solving 2

Lecture 176 Linearization, problem solving 3

Lecture 177 Linearization by Jacobian matrix, problem solving

Lecture 178 Differentials: problem solving 1

Lecture 179 Differentials: problem solving 2

Section 18: Gradient, directional derivatives

Lecture 180 Gradient

Lecture 181 The gradient in each point is orthogonal to the level curve through the point

Lecture 182 The gradient in each point is orthogonal to the level surface through the point

Lecture 183 Tangent plane to the level surface, an example

Lecture 184 Directional derivatives, introduction

Lecture 185 Directional derivatives, the direction

Lecture 186 How to normalize a vector and why it works

Lecture 187 Directional derivatives, the definition

Lecture 188 Partial derivatives as a special case of directional derivatives

Lecture 189 Directional derivatives, an example

Lecture 190 Directional derivatives: important theorem for computations and interpretations

Lecture 191 Directional derivatives: an earlier example revisited

Lecture 192 Geometrical consequences of the theorem about directional derivatives

Lecture 193 Geometical consequences of the theorem about directional derivatives, an example

Lecture 194 Directional derivatives, an example

Lecture 195 Normal line and tangent line to a level curve: how to get their equations

Lecture 196 Normal line and tangent line to a level curve: their equations, an example

Lecture 197 Gradient and directional derivatives, problem 1

Lecture 198 Gradient and directional derivatives, problem 2

Lecture 199 Gradient and directional derivatives, problem 3

Lecture 200 Gradient and directional derivatives, problem 4

Lecture 201 Gradient and directional derivatives, problem 5

Lecture 202 Gradient and directional derivatives, problem 6

Lecture 203 Gradient and directional derivatives, problem 7

Section 19: Implicit functions

Lecture 204 What is the Implicit Function Theorem?

Lecture 205 Jacobian determinant

Lecture 206 Jacobian determinant for change to polar and to cylindrical coordinates

Lecture 207 Jacobian determinant for change to spherical coordinates

Lecture 208 Jacobian determinant and change of area

Lecture 209 The Implicit Function Theorem variant 1

Lecture 210 The Implicit Function Theorem variant 1, an example

Lecture 211 The Implicit Function Theorem variant 2

Lecture 212 The Implicit Function Theorem variant 2, example 1

Lecture 213 The Implicit Function Theorem variant 2, example 2

Lecture 214 The Implicit Function Theorem variant 3

Lecture 215 The Implicit Function Theorem variant 3, an example

Lecture 216 The Implicit Function Theorem variant 4

Lecture 217 The Inverse Function Theorem

Lecture 218 The Implicit Function Theorem, summary

Lecture 219 Notation in some unclear cases

Lecture 220 The Implicit Function Theorem, problem solving 1

Lecture 221 The Implicit Function Theorem, problem solving 2

Lecture 222 The Implicit Function Theorem, problem solving 3

Lecture 223 The Implicit Function Theorem, problem solving 4

Section 20: Taylor's formula, Taylor's polynomial, quadratic forms

Lecture 224 Taylor's formula, introduction

Lecture 225 Quadratic forms and Taylor's polynomial of second degree

Lecture 226 Taylor's polynomial of second degree, theory

Lecture 227 Taylor's polynomial of second degree, example 1

Lecture 228 Taylor's polynomial of second degree, example 2

Lecture 229 Taylor's polynomial of second degree, example 3

Lecture 230 Classification of quadratic forms (positive definite etc)

Lecture 231 Classification of quadratic forms, problem solving 1

Lecture 232 Classification of quadratic forms, problem solving 2

Lecture 233 Classification of quadratic forms, problem solving 3

Section 21: Optimization on open domains (critical points)

Lecture 234 Extreme values of functions of several variables

Lecture 235 Extreme values of functions of two variables, without computations

Lecture 236 Critical points and their classification (max, min, saddle)

Lecture 237 Second derivative test for C^3 functions of several variables

Lecture 238 Second derivative test for C^3 functions of two variables

Lecture 239 Critical points and their classification: some simple examples

Lecture 240 Critical points and their classification: more examples 1

Lecture 241 Critical points and their classification: more examples 2

Lecture 242 Critical points and their classification: more examples 3

Lecture 243 Critical points and their classification: a more difficult example (4)

Section 22: Optimization on compact domains

Lecture 244 Extreme values for continuous functions on compact domains

Lecture 245 Eliminate a variable on the boundary

Lecture 246 Parameterize the boundary

Section 23: Lagrange multipliers (optimization with constraints)

Lecture 247 Lagrange multipliers 1

Lecture 248 Lagrange multipliers 1, an old example revisited

Lecture 249 Lagrange multipliers 1, another example

Lecture 250 Lagrange multipliers 2

Lecture 251 Lagrange multipliers 2, an example

Lecture 252 Lagrange multipliers 3

Lecture 253 Lagrange multipliers 3, an example

Lecture 254 Summary: optimization

Section 24: Final words

Lecture 255 The last one

Section 25: Extras

Lecture 256 Bonus Lecture

University and college engineering



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2nd Master in Coaching and Business: Productivity IN03
Published 8/2024
Created by Mywebstudies .com
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 463 Lectures ( 38h 21m ) | Size: 20.4 GB



Master in Business Coaching: Productivity, Leadership, Stress, Anxiety, Public Speaking



What you'll learn:

The Master in Business and Coaching consists of
Increasing Labor Productivity Course: The main objective of the course is to teach you effective strategies and techniques to increase your productivity in the
Leadership Coaching Course. For managers, leaders, team leaders
Stress and Anxiety Management Coaching Course
Public Speaking Techniques and Skills for Public Speaking Course

Requirements:
Time Available: You must be willing to dedicate time to the course and complete the assigned tasks. The amount of time required may vary depending on the length and complexity of the course.

Description:
Mywebstudies offers this Integral Coaching Master consisting of the following courses:productivity at Work. Increase time efficiencyLeadership Coaching. For managers, leaders, team leadersCoaching stress and anxiety managementPublic speaking. Public speaking techniques and skillsThe Master in Integral Coaching is a complete program designed to enhance your personal and professional transformation. Throughout this master's program, you will acquire a deep knowledge and mastery of the tools and techniques of coaching, addressing key areas such as business creation, business coaching, life coaching and nutrition coaching.During the program, you will learn to develop leadership, effective communication, time management, decision making and problem solving skills. You will learn to identify and leverage your strengths, overcome your limitations and achieve your goals effectively.This master's degree will provide you with an integral vision of coaching, giving you the necessary tools to guide others in their process of change and personal growth. You will learn to establish trusting and empathetic relationships with your clients, helping them to discover and tap into their full potential.During the exciting Business and Executive Coaching course, you will explore the fundamental tools and strategies for developing leadership skills, making effective decisions and driving business growth. This program will provide you with the competencies necessary to guide individuals and teams toward achieving their goals and unleashing their full potential. Get ready to acquire a deep insight into business management and organizational dynamics, all enriched by the powerful practice of executive coaching. Details of each course that makes up the Master: In this Workplace Productivity course, you will learn how to increase your work efficiency, develop leadership skills, enhance your creativity, manage your emotions, and optimize the use of digital tools, allowing you to achieve your work goals and improve your quality of life.In this comprehensive Leadership Coaching course, participants will gain an in-depth understanding of the fundamental principles of effective leadership and learn how to apply coaching techniques to boost their personal and professional development, from identifying realistic goals to strengthening communication, team management and conflict resolution, all backed by a solid foundation of emotional intelligence; enabling them to not only achieve their leadership goals, but also inspire and guide their teams to success in an ever-changing work environment.In this "Stress and Anxiety Management Coaching" course, you will learn to gain an in-depth understanding of stress and anxiety, their effects on mental and physical health, and develop the skills necessary to help others manage these situations effectively. You will learn coaching techniques and strategies that will enable you to identify the causes of stress, design personalized action plans, apply relaxation exercises and promote emotional well-being. This knowledge will enable you to provide valuable support to those facing stress and anxiety in their lives, either as a professional coach or for your own benefit and that of your loved ones.In this comprehensive Public Speaking course, you will learn the fundamental skills and techniques to become an effective and confident public speaker. From how to structure an impactful speech to the strategic use of stories and emotions to connect with your audience, this program will equip you with the tools you need to express yourself with clarity and conviction. You'll master the preparation and delivery of persuasive presentations in a variety of contexts, acquiring advanced skills such as handling challenging questions and the ability to influence effectively. You will also explore the use of modern tools, such as PowerPoint and videos, to enhance your presentations and learn how to adapt your speech to different types of audiences and situations. By the end of this course, you will feel empowered to communicate your ideas in an impactful and confident manner in any environment.We look forward to seeing you at Mywebstudies

Who this course is for:
Professionals in the Workplace: This course is suitable for professionals from all industries and experience levels who want to increase their productivity, develop leadership skills and improve their well-being at work.
Students: Undergraduate or graduate students who wish to acquire skills and knowledge that will help them in their future work career, as well as in their academic life.
Entrepreneurs and Business Owners: Those who are starting their own business or company can benefit from learning how to manage their time, lead teams and promote their personal brand.
Job Seekers: Job seekers can improve their employability by acquiring communication, emotional intelligence and productivity skills that are valued by employers.
Leaders and Managers: Managers and business leaders can improve their leadership, communication and stress management skills to effectively lead teams and foster a productive work environment.
Any Interested Individual: Anyone interested in improving their quality of life, balancing work and personal life, and acquiring practical skills to be more productive in their daily lives.



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SAP Production Planning (PP) Module Online Practical Class
Last updated 7/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 22.08 GB | Duration: 35h 9m

Production Planning and Control with SAP ERP



What you'll learn
Help students to become real time PP Consultants


Requirements
Fresher or Production/Manufacturing department


Description
Goals of this Course:This course provide you with the step-by-step approach to configure & implement two different production types in Production Planning module: Discrete Industry & Process Industry manufacturing. This course will lay the initial foundation in the form of configuration & will then explain how the configuration impacts actual business processes. The configuration to business process approach is maintained throughout the live course.The goal is to provide comprehensive coverage to production planning workflow tools available. These tools are covered to bring greater optimization to business processes and greater return on investment in SAP ERP system. SAP PP is one of most important modules of SAP ERP which deals with the production planning processes like Material Requirement Planning, Capacity Planning, Movement of raw material and goods, Cost management etc. ... SAP PP is fully integrated with the other SAP modules such as SD, MM, QM, FICO, PM.This course provide you with the step-by-step approach to configure & implement two different production types in Production Planning module: Discrete Industry & Process Industry manufacturing. This course will lay the initial foundation in the form of configuration & will then explain how the configuration impacts actual business processes. The configuration to business process approach is maintained throughout the live course.The goal is to provide comprehensive coverage to production planning workflow tools available. These tools are covered to bring greater optimization to business processes and greater return on investment in SAP ERP system. SAP PP is one of most important modules of SAP ERP which deals with the production planning processes like Material Requirement Planning, Capacity Planning, Movement of raw material and goods, Cost management etc. ... SAP PP is fully integrated with the other SAP modules such as SD, MM, QM, FICO, PM.

Overview
Section 1: Master Data

Lecture 1 Material Master

Lecture 2 Bill of Material

Lecture 3 Work Center

Lecture 4 Routing

Section 2: Sales and Operations Planning (SOP)

Lecture 5 Standard SOP

Lecture 6 Flexible Planning

Section 3: Demand Management

Lecture 7 Overview of Demand Management

Lecture 8 Make to Stock Planning Strategies

Lecture 9 Make to Order Planning Strategies

Section 4: Material Requirements Planning (MRP)

Lecture 10 MRP overview and Technical process of MRP

Lecture 11 Methods of running MRP

Lecture 12 Factors influencing MRP run, Methods of Executing planning run, MRP Process Cont

Lecture 13 MRP Evaluations

Section 5: Production Order Execution

Lecture 14 Production Order Creation, Availability Check

Lecture 15 Production Order Release and Goods Issue

Lecture 16 Confirmation and Goods Receipt

Lecture 17 Scheduling

Lecture 18 Capacity Planning

Section 6: PP-PI

Lecture 19 Resources, Master Recipe, Production Version and Process Order Execution

Lecture 20 PI Sheets & Process Management

Section 7: Repetitive Manufacturing Process

Lecture 21 Repetitive Manufacturing (REM) Process

Section 8: Batch Management

Lecture 22 Batch Creation in Production,Manual & Automatic Batch Creation,Classification

Lecture 23 Batch Determination in Production Order

Section 9: Configuration

Lecture 24 Master Data Configuration

Lecture 25 SOP,MRP,Order type dependent Parameters,Factory Calendar

Lecture 26 Order Type, User status configuration

Section 10: Bonus "SAP ABAP For SAP Functional Consultants "

Lecture 27 BONUS Introduction

Lecture 28 Custom Table Creation

Lecture 29 D/B Table Update in Debugging

People who are interested in SAP Career


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Sap S/4 Hana Basics And S/4 Hana Production Planning Module
Last updated 7/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 31.76 GB | Duration: 41h 52m

SAP S/4 HANA Basics and S/4 HANA Production Planning Module



What you'll learn
Journey to SAP S/4 HANA
SAP S/4 HANA Basics
Comparison between SAP S/4 HANA Data base and traditional data base
Fiori for functional consultants
SAP S/4 HANA Production Planning Module and delta changes


Requirements
Fresher or Production/Manufacturing department users
SAP ECC functional consultants
SAP end users


Description
The goal of this course is to provide you with the step-by-step approach to understand different production types in production planning (PP): discrete manufacturing, process manufacturing. The course lays the initial foundation in the form of basics related to S/4 HANA and it's database and then explains about the actual business processes. The configuration to business process approach is maintained throughout the course.The next goal is to provide comprehensive coverage to the PP workflow tools available. Further, there are significant hidden or lesser-used functionalities in PP that you can integrate even when (and long after) your SAP system implementation is complete. These tools are covered to bring greater optimization to your business processes.The course offers real-life examples and other modeling hints and tips to help you decide which option best meets the business needs of the company. Screens using SAP S/4HANA are used extensively and are duly supported by in-depth coverage of concepts and terminologies. The menu paths or transaction codes are given to perform each step.This course takes a deep-dive approach to deliver in-depth and comprehensive coverage of basics of S/4 HANA, user interface (fiori), master data, demand management, MRP, discrete manufacturing, process manufacturing in SAP. It begins by covering the enterprise structure that you need to set up in PP, which also reflects the interdependencies of the enterprise structures of other areas.

Overview
Section 1: Journey to S4 HANA

Lecture 1 1. Journey to SAP S4 HANA

Lecture 2 S4 HANA Digital Core

Lecture 3 Simplified Data Model

Lecture 4 Basics of SAP HANA

Lecture 5 Different Types of SAP Projects

Section 2: User Interface

Lecture 6 User Interface - Part1

Lecture 7 Fiori Launchpad_UI - Part2

Section 3: Organization Structure

Lecture 8 Organization Structure

Section 4: Master Data

Lecture 9 Material Master

Lecture 10 BOM

Lecture 11 Work Center

Lecture 12 Routing

Lecture 13 Production Version

Section 5: Demand Management

Lecture 14 Overview of Demand Management

Lecture 15 Make to Stock(MTS)

Lecture 16 Make to Order(MTO)

Section 6: Material Requirements planning (MRP)

Lecture 17 MRP Overview & Technical Process

Lecture 18 MRP execution methods & Control parameters

Lecture 19 Classic MRP Vs MRP Live

Lecture 20 Factors influencing MRP run

Lecture 21 MRP Evaluations

Lecture 22 MRP Area_S4 HANA

Lecture 23 Demand Driven MRP (DDMRP)

Section 7: Discrete Manufacturing Industry

Lecture 24 Production order creation & MAC

Lecture 25 Production order release & Goods issue

Lecture 26 Production order confirmation & GR

Lecture 27 Scheduling

Lecture 28 Capacity Requirements Planning

Section 8: Process Manufacturing Industry

Lecture 29 Process Manufacturing_S4 HANA

Lecture 30 Process Management

Section 9: Batch Management

Lecture 31 Batch Management Overview

Lecture 32 Batch Determination

Section 10: S/4 HANA Migration Tools

Lecture 33 LTMC_S4 HANA

Lecture 34 LTMOM_S4 HANA

Section 11: Bonus "SAP ABAP For SAP Functional Consultants "

Lecture 35 BONUS Introduction

Lecture 36 Custom Table Creation

Lecture 37 D/B Table Update in Debugging

Fresher or Production/Manufacturing department users,SAP end users,SAP ECC functional consultants


Homepage


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English Speaking Complete: English Language Mastery
Last updated 8/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 112h 50m | Size: 26.3 GB

Supercharge your English speaking skills and master English Language fluency.



What you'll learn
Master English speaking skills from beginner to advanced levels
Supercharge your complete English language fluency
Understand and use English grammar with confidence and accuracy
Expand your understanding of commonly used native English vocabulary
Power up your English speaking skills in everyday topics and settings
Build your Business English and English pronunciation skills


Requirements
Enthusiasm to improve your English Language skills
A notepad and pen (recommended!)


Description
"Learning English is difficult!"If you're studying the English language, you know this already.You probably even said this EXACT sentence a few times! Many students study English conversation skills for months or years - but don t make the progress they want in their English speaking. Then I m sure you're asking..."How can I make learning the English Language easier?""And where can I improve my English speaking skills?"There s lots of places to learn with different resources and styles.But if you re looking for a COMPLETE ENGLISHLANGUAGE course You re in the right place.English Speaking Complete is a full, in-depth English Language course from beginner to advanced levels (A1 - C2). Go from English speaking novice all the way to ENGLISH LANGUAGEMASTER in one complete course. Grow your confidence in everyday speaking topics, power up your English language fluency and learn to master English with confidence.In this course...You ll learn skills and shortcuts to really talk just like a native English speaker. You'll get fun, engaging lessons that teach you REAL English language vocabulary, expressions and grammar skills. Speak English with confidence today.This course goes beyond English Speaking mastery. You'll also get in depth guides and lessons for English grammar, English pronunciation, English vocabulary and Business English - watch out for regular BIGlesson updates, too!Learn simple methods to grow your English Language fluency and master the tricks that native English Speakers use. Speed up your speaking and improve your listening skills to develop confidence in real English conversation.- Take your English Language skills from beginner to advanced- Learn English Speaking in common everyday topic and scenarios- Ace a range of listening tests and quizzes to build English conversation skills- Master advanced vocabulary and phrasal verbs for English language fluency- SUPERCHARGE your English grammar and understanding- Improve your pronunciation and speak English clearly- Power up your Business English skills and fluencyOn top of this...You'll get a range of practice activities and extended listening tests to develop your English fluency.English Speaking Complete is THE place to power up your English Language skills.As part of our learning community, you also get Lifetime access to this courseAll updates and new lessons (forever!)Q+A feature to discuss your English Language learning30 day money back guaranteeI m really excited to have you here and can t wait to get started.Sign up NOW and supercharge your ENGLISH SPEAKING skills and ENGLISHLANGUAGEFLUENCY!Check out some 5 STAR reviews from English Speaking Complete students..."Thanks a ton David, for designing such wonderful and comprehensive English Speaking course! I would definitely recommend to all my friends. Your enthusiasm of teaching is awesome which are not present in all the instructor, that motivates me to start the course everyday.""Very interesting course. It helps me a lot to deal with English challenges.""The course really help me complete my English skills.""Amazing English course. I will highly recommend to all that David is the best teacher of English on Udemy. Very exciting to get this course. Thank you"

Who this course is for
Students wanting to improve English language skills
English Language learners wanting to improve grammar understanding
Anyone from beginner to intermediate English users


Homepage

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100 Days Of Code: Real World Data Science Projects Bootcamp
Last updated 4/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 105h 40m | Size: 51.4 GB

Build 100 Projects in 100 Days- Data Science, Machine Learning, Deep Learning (Python, Flask, Django, AWS, Heruko Cloud)



What you'll learn
Have a great intuition of many Machine Learning models
Know which Machine Learning model to choose for each type of problem
Implement Machine Learning Algorithms
Create supervised machine learning algorithms to predict classes.
Understand the full product workflow for the machine learning lifecycle.
Explore how to deploy your machine learning models.
Learn which Machine Learning model to choose for each type of problem
Real life case studies and projects to understand how things are done in the real world
Learn to use NumPy for Numerical Data
Use Matplotlib to create fully customized data visualizations with Python.
Explore large datasets and wrangle data using Pandas
Learn to use Seaborn for statistical plots


Requirements
Basic knowledge of machine learning


Description
In This Course, Solve Business Problems Using Data Science Practically. Learn To Build & Deploy Machine Learning, Data Science, Artificial Intelligence, Auto Ml, Deep Learning, Natural Language Processing (Nlp) Web Applications Projects With Python (Flask, Django, Heroku, AWS, Azure, GCP, IBM Watson, Streamlit Cloud).We have been able to process such a voluminous amount of data. We are able to analyze and draw insights from this data owing to these advanced computational systems.However, despite all these advancements, data remains a vast ocean that is growing every second. While the huge abundance of data can prove useful for the industries, the problem lies in the ability to use this data.As mentioned above, data is fuel but it is a raw fuel that needs to be converted into useful fuel for the industries. In order to make this raw fuel useful, industries require Data Scientists. Therefore, knowledge of data science is a must if you wish to use this data to help companies make powerful decisions.According to Glassdoor, the average salary for a Data Scientist is $117,345/yr. This is above the national average of $44,564. Therefore, a Data Scientist makes 163% more than the national average salary.This makes Data Science a highly lucrative career choice. It is mainly due to the dearth in Data Scientists resulting in a huge income bubble.Since Data Science requires a person to be proficient and knowledgeable in several fields like Statistics, Mathematics and Computer Science, the learning curve is quite steep. Therefore, the value of a Data Scientist is very high in the market.A Data Scientist enjoys the position of prestige in the company. The company relies on his expertise to make data-driven decisions and enable them to navigate in the right direction.Furthermore, the role of a Data Scientist depends on the specialization of his employer company. For example A commercial industry will require a data scientist to analyze their sales.A health-care company will require data scientists to help them analyze genomic sequences. The salary of a Data Scientist depends on his role and type of work he has to perform. It also depends on the size of the company which is based on the amount of data they utilize.Still, the pay scale of Data Scientist is way above other IT and management sectors. However, the salary observed by Data Scientists is proportional to the amount of work that they must put in. Data Science needs hard work and requires a person to be thorough with his/her skills.In This Course, We Are Going To Work On 100 Real World Projects Listed Below:project-1: Pan Card Tempering Detector App -Deploy On HerokuProject-2: Dog breed prediction Flask AppProject-3: Image Watermarking App -Deploy On HerokuProject-4: Traffic sign classificationProject-5: Text Extraction From Images ApplicationProject-6: Plant Disease Prediction Streamlit AppProject-7: Vehicle Detection And Counting Flask AppProject-8: Create A Face Swapping Flask AppProject-9: Bird Species Prediction Flask AppProject-10: Intel Image Classification Flask AppProject-11: Language Translator App Using IBM Cloud Service -Deploy On HerokuProject-12: Predict Views On Advertisement Using IBM Watson -Deploy On HerokuProject-13: Laptop Price Predictor -Deploy On HerokuProject-14: WhatsApp Text Analyzer -Deploy On HerokuProject-15: Course Recommendation System -Deploy On HerokuProject-16: IPL Match Win Predictor -Deploy On HerokuProject-17: Body Fat Estimator App -Deploy On Microsoft AzureProject-18: Campus Placement Predictor App -Deploy On Microsoft AzureProject-19: Car Acceptability Predictor -Deploy On Google CloudProject-20: Book Genre Classification App -Deploy On Amazon Web ServicesProject 21 : DNA classification for finding E.Coli - Deploy On AWSProject 22 : Predict the next word in a sentence. - AWS - Deploy On AWSProject 23 : Predict Next Sequence of numbers using LSTM - Deploy On AWSProject 24 : Keyword Extraction from text using NLP - Deploy On AzureProject 25 : Correcting wrong spellings - Deploy On AzureProject 26 : Music popularity classification - Deploy On Google App EngineProject 27 : Advertisement Classification - Deploy On Google App EngineProject 28 : Image Digit Classification - Deploy On AWSProject 29 : Emotion Recognition using Neural Network - Deploy On AWSProject 30 : Breast cancer Classification - Deploy On AWSProject-31: Sentiment Analysis Django App -Deploy On HerokuProject-32: Attrition Rate Django ApplicationProject-33: Find Legendary Pokemon Django App -Deploy On HerokuProject-34: Face Detection Streamlit AppProject-35: Cats Vs Dogs Classification Flask AppProject-36: Customer Revenue Prediction App -Deploy On HerokuProject-37: Gender From Voice Prediction App -Deploy On HerokuProject-38: Restaurant Recommendation SystemProject-39: Happiness Ranking Django App -Deploy On HerokuProject-40: Forest Fire Prediction Django App -Deploy On HerokuProject-41: Build Car Prices Prediction App -Deploy On HerokuProject-42: Build Affair Count Django App -Deploy On HerokuProject-43: Build Shrooming Predictions App -Deploy On HerokuProject-44: Google Play App Rating prediction With Deployment On HerokuProject-45: Build Bank Customers Predictions Django App -Deploy On HerokuProject-46: Build Artist Sculpture Cost Prediction Django App -Deploy On HerokuProject-47: Build Medical Cost Predictions Django App -Deploy On HerokuProject-48: Phishing Webpages Classification Django App -Deploy On HerokuProject-49: Clothing Fit-Size predictions Django App -Deploy On HerokuProject-50: Build Similarity In-Text Django App -Deploy On HerokuProject-51: Black Friday Sale ProjectProject-52: Sentiment Analysis ProjectProject-53: Parkinson s Disease Prediction ProjectProject-54: Fake News Classifier ProjectProject-55: Toxic Comment Classifier ProjectProject-56: IMDB Movie Ratings PredictionProject-57: Indian Air Quality PredictionProject-58: Covid-19 Case AnalysisProject-59: Customer Churning PredictionProject-60: Create A ChatBotProject-61: Video Game sales AnalysisProject-62: Zomato Restaurant AnalysisProject-63: Walmart Sales ForecastingProject-64 : Sonic wave velocity prediction using Signal Processing TechniquesProject-65 : Estimation of Pore Pressure using Machine LearningProject-66 : Audio processing using MLProject-67 : Text characterisation using Speech recognitionProject-68 : Audio classification using Neural networksProject-69 : Developing a voice assistantProject-70 : Customer segmentationProject-71 : FIFA 2019 AnalysisProject-72 : Sentiment analysis of web scrapped dataProject-73 : Determining Red Vine QualityProject-74 : Customer Personality AnalysisProject-75 : Literacy Analysis in IndiaProject-76: Heart Attack Risk Prediction Using Eval ML (Auto ML)Project-77: Credit Card Fraud Detection Using Pycaret (Auto ML)Project-78: Flight Fare Prediction Using Auto SK Learn (Auto ML)Project-79: Petrol Price Forecasting Using Auto KerasProject-80: Bank Customer Churn Prediction Using H2O Auto MLProject-81: Air Quality Index Predictor Using TPOT With End-To-End Deployment (Auto ML)Project-82: Rain Prediction Using ML models & PyCaret With Deployment (Auto ML)Project-83: Pizza Price Prediction Using ML And EVALML(Auto ML)Project-84: IPL Cricket Score Prediction Using TPOT (Auto ML)Project-85: Predicting Bike Rentals Count Using ML And H2O Auto MLProject-86: Concrete Compressive Strength Prediction Using Auto Keras (Auto ML)Project-87: Bangalore House Price Prediction Using Auto SK Learn (Auto ML)Project-88: Hospital Mortality Prediction Using PyCaret (Auto ML)Project-89: Employee Evaluation For Promotion Using ML And Eval Auto MLProject-90: Drinking Water Potability Prediction Using ML And H2O Auto MLProject-91: Image Editor Application With OpenCV And TkinterProject-92: Brand Identification Game With Tkinter And Sqlite3Project-93: Transaction Application With Tkinter And Sqlite3Project-94: Learning Management System With DjangoProject-95: Create A News Portal With DjangoProject-96: Create A Student Portal With DjangoProject-97: Productivity Tracker With Django And PlotlyProject-98: Create A Study Group With DjangoProject-99: Building Crop Guide Application with PyQt5, SQLiteProject-100: Building Password Manager Application With PyQt5, SQLiteTip: Create A 50 Days Study Plan Or 100 Day Study Plan, Spend 1-3hrs Per Day, Build 100 Projects In 50 Days Or 100 Projects In 100 Days.The Only Course You Need To Become A Data Scientist, Get Hired And Start A New CareerNote (Read This): This Course Is Worth Of Your Time And Money, Enroll Now Before Offer Expires.

Who this course is for
Beginners in data science


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