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Python Data Science with the TCLab
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 14 lectures (4h 23m) | Size: 1.71 GB
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Data science introduction for scientists and engineers
What you'll learn
Visualize data to understand relationships and assess data quality
Understand the differences between classification, regression, and clustering and when each can be applied
Detect overfitting and implement strategies to improve prediction
Understand engineering and business objectives to plan applications
Implement data science techniques successfully to complete a project
Requirements
Beginner Python experience is needed.
Consider the freely available course found on GitHub: APMonitor/begin_python to gain foundational experience with variables, loops, functions, lists, and other Python introductory topics.
Description
These modules are intended to help you develop data science and machine learning skills in Python. The 12 modules have video tutorials for each exercise with solutions for each exercise. One of the unique things about these modules is that you work on basic elements and then test your knowledge with real data exercises with a heat transfer design project. You will see your Python code have a real impact by designing the materials for a new product.
One of the best ways to start or review a programming language is to work on a project. These exercises are designed to teach data science Python programming skills. Data science applications are found across almost all industries where raw data is transformed into actionable information that drives scientific discovery, business innovations, and development. This project is to determine the thermal conductivity of several materials. Thermal conductivity is how well a material conducts or insulates against heat transfer. The specific heat transfer project shows how to apply data science to solve an important problems with methods that are applicable to many different applications.
Objective: Collect and analyze data from the TCLab to determine the thermal conductivity of three materials (metal, plastic, and cardboard) that are placed between two temperature sensors. Create a digital twin that predicts heat transfer and temperature.
To make the problem more applicable to a real situation, suppose that you are designing a next-generation cell phone. The battery and processor on the cell phone generate a lot of heat. You want to make sure that the material between them will prevent over-heating of the battery by the processor. This study will help you answer questions about material properties for predicting the temperature of the battery and processor.
Topics
There are 12 lessons to help you with the objective of learning data science in Python. The first thing that you will need is to install Python to open and run the IPython notebook files in Jupyter. There are additional instructions on how to install Python and manage modules. Any Python distribution or Integrated Development Environment (IDE) can be used (IDLE, Spyder, PyCharm, and others) but Jupyter notebook or VSCode is required to open and run the IPython notebook (.ipynb) files. All of the IPython notebook (.ipynb) files can be downloaded. Don't forget to unzip the folder (extract the archive) and copy it to a convenient location before starting.
Overview
Data Import and Export
Data Analysis
Visualize Data
Prepare (Cleanse, Scale, Divide) Data
Regression
Features
Classification
Interpolation
Solve Equations
Differential Equations
Time Series
They give the skills needed to work on the final project. In the final project, metal coins, plastic, and cardboard are inserted in between the two heaters so that there is a conduction path for heat between the two sensors. The temperature difference and temperature levels are affected by the ability of the material to conduct heat from heater 1 and temperature sensor T1 to the other temperature sensor T2.
You may not always know how to solve the problems initially or how to construct the algorithms. You may not know the function that you need or the name of the property associated with an object. This is by design. You are to search out the information that you might need using help resources, online resources, textbooks, etc.
You will be assessed not only on the ability of the program to give the correct output, but also on good programming practices such as ease of use, code readability and simplicity, modular programming, and adequate, useful comments. Just remember that comments, indentation, and modular programming can really help you and others when reviewing your code.
Temperature Control Lab
The projects are a review of all course material with real data from temperature sensors in the Temperature Control Lab (TCLab). The temperatures are adjusted with heaters that are adjusted with the TCLab. If you do not have a TCLab module, use the digital twin simulator by replacing TCLab() with TCLabModel().
Who this course is for
Beginner Python developers interested in Data Science
Aspiring and experienced scientists and engineers
Students and professionals who want to adopt Data Science in practice
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Oracle Zero Downtime Migration - the Ultimate Guide
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.41 GB | Duration: 7h 1m
Master Oracle Zero Downtime Migration to implement database migration projects like professionals
​

What you'll learn
Understand the Zero Downtime Migration Workflows
Manage Zero Downtime Migration for migration jobs
Implement Zero Downtime Migration Physical migration
Implement Zero Downtime Logical migration
Troubleshoot Zero Downtime Migration
Requirements
Oracle Database Administration - basics
Linux - basics
A PC with 16 GB RAM and 100 GB free disk space
An active account in the Oracle Cloud Infrastructure (OCI)
Description
Do you want to learn how to professionally migrate Oracle Databases to the Oracle cloud with least downtime?
You know that Oracle Data Guard and GoldenGate are the technologies to use with such projects, but you do not have the time to learn them. Even if you are professional with these technologies, we know the procedure to configure them is time-consuming, prone to human errors, and difficult to implement on database fleet.
Oracle is aware about these challenges and, therefore, developed a fantastic solution called "Zero Downtime Migration". With this tool, database migration to the cloud projects can go seamlessly
Oracle Zero Downtime Migration gives you a quick and easy way to move on-premises databases to Oracle Cloud Infrastructure, Exadata Cloud at Customer, and Exadata Cloud Service without incurring significant downtime, by leveraging technologies such as Oracle Active Data Guard and Oracle GoldenGate.
No matter which architecture is configured in the source database (non-RAC, RAC, CDB, non-CDB, Standard Edition, Enterprise Edition), Zero Downtime Migration can automatically handle them all.
With this course, you will learn how to use Zero Downtime Migration for migrating Oracle on-premises databases to co-managed DB systems in the cloud.
By the end of this course, you should have the following skills
Install and configure Zero Downtime Migration
Understand the Zero Downtime Migration Workflows
Configure Zero Downtime Migration for migration jobs
Implement Zero Downtime Migration Physical migration
Implement Zero Downtime Logical migration
Troubleshoot Zero Downtime Migration
Content and Overview
Information presented in this course provides Oracle DBAs the knowledge and experience to utilize Oracle Zero Downtime Migration.
After every concepts lecture, you will implement practical exercises. To guide you on implementing the practices, the practice lectures are supported by video-based demonstrations and the downloadable practice materials.
Starting with introducing Zero Downtime Migration, this course will take you all the away from installing Oracle Zero Downtime Migration and all the way up to implementing Oracle Zero Downtime Migration Logical Online Migration.
This course will cover all the topics that are included in using Oracle Zero Downtime Migration, such as the following
Zero Downtime Migration possible workflows
Install and configure Zero Downtime Migration
Implement Zero Downtime Migration physical migration
Implement Zero Downtime Migration logical migration
Managing and Troubleshooting Migration Jobs
You will build up a practice environment that resemble real life systems and demonstrate with hands-on experience all Oracle Zero Downtime Migration features.
If you want to implement database migration projects with confident, do not miss this opportunity to learn this amazing tool: Oracle Zero Downtime Migration.
Who this course is for
This course is designed for Oracle DBAs who are interested in using Zero Downtime Migration tool for migrating on-premises databases to the Oracle Cloud.
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Oracle DBA 21c
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHz
Language: English | Size: 2.13 GB | Duration: 4h 9m
Learn complete Oracle Multitenant Database Administration 21c
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What you'll learn
Oracle Architecture
InstallationOfOracleLinux8OnOracleVM
Practice 1 Creating a CDB
Practice 2 Creating PDBs from the Seed
Practice 3 Performing Basic CDB Administration Tasks
Practice 4 Managing Common and Local Users
Practice 5 Backup and Recovery in CDB and PDBs
Practice 6 Flashback and Point-in-time Recovery
Description
Oracle DBA 21c
This course is about Oracle 21c DBA. Oracle 21c is the latest database software from Oracle and it's a innovation release which means it has shorter support life span. Oracle 21 c is the first release of oracle database with CDB only option. You can not create a non-CBD database in Oracle 21c. In this course we will be doing hands on practice sessions with the following:-
Oracle Architecture
InstallationOfOracleLinux8OnOracleVM
Practice 1 Creating a CDB
Practice 2 Creating PDBs from the Seed
Practice 3 Performing Basic CDB Administration Tasks
Practice 4 Managing Common and Local Users
Practice 5 Backup and Recovery in CDB and PDBs
Practice 6 Flashback and Point-in-time Recovery
Oracle Database 21c is the latest innovation release of world's most popular database. Oracle Database 21c is now available on Oracle cloud and on-premises for linux including Exadata.
You can directly upgrade to Oracle Database 21c from the following releases
- Oracle Database 19c
- Oracle Database 18c
- Oracle Database 12c Release 2 (12.2)
Top New features in Oracle Database 21c
- Blockchain Tables
- Immutable Tables
- Oracle Machine Learning- Native JSON Datatype- SQL Macros- In database JavaScript execution- Compare explain plans / cursors
We all should be aware that Innovation Releases have shorter support windows than Long Term Releases such as Oracle Database 19c.
Oracle Database Innovation Releases include many enhancements and new capabilities which will be included in the next Long Term Release. Oracle Database Innovation Releases does not have extended support. As Oracle Database 21c is also an innovation release, which means it will only have 2 years of premium support.
Oracle Database Long Term Releases usually have 5 years of Premier Support followed by 3 years of Extended Support. Personally I would not like to upgrade my production servers to an innovation release (Oracle Database 21c). I would like to upgrade (or stay with my Oracle Database Server with Oracle Database 19c which has Premier Support till April 30, 2024 and after that Extended Support will start for Oracle Database 19c.
Who this course is for
Oracle DBAs and Developers
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Masterclass For Newbies covering Casino Tokens Opportunities
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 877 MB | Duration: 1h 37m
In this cryptocurrency course for beginners we cover everything you need to know about gambling tokens opportunities.​

What you'll learn
Learn how to get in crypto
Learn how to use Web3 wallets
Anyone who wants to learn how to invest in Cryptocurrency and doesn't know where to start
Learn everything you need to know about the top gambling tokens
Learn everything you need to know about the top casinos integrating their own tokens and the blockchain technology
Requirements
The course is for newbies in the crypto space - starting from scratch
0 knowledge in the gambling or blockchain fields are required
You need access to the internet
You should have an open mind and be prepared to be blown away by the concept of DeFi
You should have a bank account and/or debit card to be able to buy cryptocurrencies and to get started
Description
Hi and welcome to this 'Masterclass For Newbies covering Casino Tokens Opportunities' with us Top Things To Know.
The global casino and online gambling industry consists of gambling facilities that offer gambling possibilities such as table wagering games and gaming machines. It is common for these establishments to also provide dining, beverage, and lodging services. Legal online gaming on casino-style games is also a part of this industry. In 2021, the market size of the global casinos and online gambling industry reached 231 billion U.S. dollars. In that year, there were over one million workers employed at 5.3 thousand establishments worldwide.
Landing on our course page means you are in the right place at the right time.
The continuous novel coronavirus outbreak in 2020-2022, the money printing, the rising inflation rates, the new all time high real estate global prices, and the "new" work from home environment are only some of the reasons why Wall Street and retail investors are hedging their money in Bitcoin and other cryptocurrencies.
So is it late to join and make the first steps towards your early retirement and a better life? - NO! It is never too late to join at any time. The rise and development of the blockchain technology are yet to show their full potential and effects on everything around us!
What is Hold2Earn?
Depending on the casino the Hold2Earn concept allows you to choose your holding period(example: 1 day, 1 week, 1 month, etc.)
Gambling platforms or staking platforms allow you to track your holding's current results online
At the end of the holding period, you receive your share of the token pool
What is Play2Earn?
Most gambling tokens are play-to-earn tokens used in the blockchain casinos. The more you play, the more tokens you receive in the form of rewards or cashback.
So you are about to join something that will change our whole generation and understanding of finance, banking, internet, gaming, art, metaverse, decentralization, anonymity and more!
Are you ready to start your journey today and never look back again!
DISCLAIMER: The content of our course and lectures is intended FOR GENERAL INFORMATION PURPOSES not financial advice. The information contained herein is for educational informational purposes only. Nothing herein shall be construed to be financial, legal or tax advice. The content of this course is solely the opinions of the speaker who is not a licensed financial advisor or registered investment advisor. Purchasing cryptocurrencies poses considerable risk of loss. The speaker does not guarantee any particular outcome. Past performance does not indicate future results.
Who this course is for
Anyone who wants to learn how to invest in Cryptocurrency and doesn't know where to start
Investors interested to expand their portfolio
Traders & investors looking for hidden gems
People looking to create their retirement fund
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Master Python Data Analysis and Modelling Essentials
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 34 lectures (7h 2m) | Size: 2.97 GB
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A Real-World Project using Jupyter notebook, Numpy, SciPy, Pandas, Matplotlib, Statmodels, Scikit-learn, and many more
What you'll learn
Data analysis and modelling process
Setting up Python data analysis and modelling environment
Data exploration
Rename the data columns
Data slicing, sorting, filtering, and grouping data
Missing value detection and imputation
Outlier detection and treatment
Correlation Analysis and feature selection
Splitting data set for model fitting and testing
Data normalization with different methods
Developing a classic statistical linear regression model
Developing a machine linear regression model
interpreting the model results
Improving the models
Evaluating the models
Visualizing the model results
Requirements
Basic Python language knowledge needed to understand the codes
Description
We are living in data explosive world where data is ubiquitous, and thus it is essential to build data analysis and modelling skills. Based on TIOBE Index, Python has overpassed Java and C and become the most popular programming language of today since October 2021. Python leads the top Data Science and Machine Learning platforms based on KDnuggets poll.
This course use a real world project and dataset and well known Python libraries to show you how to explore data, find the problems and fix them, and how to develop classic statistical regression models and machine learning regression step by step in an easily undrstand way. After this course, you will own the skills to
(1) to explore data using Python Pandas library
(2) to rename the data column using different methods
(3) to detect the missing values and outliers in dataset through different methods
(4) to use different methods to fill in the missings and treat the outliers
(5) to make correlation analysis and select the features based on the analysis
(6) to encode the categorical variables with different methods
(7) to split dataset for model training and testing
(8) to normalize data with scaling methods
(9) to develop classic statistical regression models and machine learning regression models
(10) to fit the model, improve the model, evaluate the model and visulize the modelling results, and many more
Who this course is for
Business analysts
Data analytics professionals
Statisticians
Engineers and scientists for data analysis, modelling and machine learning
Anyone who wants to learn data analysis and modelling with Python for his/her projects
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Advanced Fluid Mechanics with Engineering Applications.
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 7.90 GB | Duration: 29h 5m
29 Hours Detailed Course Especially Designed for Automotive and Processing Engineers with the Understanding of CFD.
​

What you'll learn
Introduction to Fluid Mechanics from very basic level that can engage the beginner learner to the course.
Derivation and complete explanation of continuity equation with examples and numericals.
Understand momentum equation and momentum equation in differential form.
Understand Navier-Stokes Equation and applications of Navier-Stokes Equation.
Get complete explanation about Reynolds Transport Theorem with its Derivation.
Understand about Linear and Angular momentum equation.
Understand about Kinematics of all types of Flow in detail.
Understand Potential Flow and Superposition of potential flow (I, II, III)
Explanation about Turbo Machines (Euler's Equation, Blade Angles, Performance (I,II)
Get Information about turbine and turbine performance.
Understand about Boundary layer Concepts (Order Analysis over Flat plate, Turbulent flow over flat plate, Blasius solution, Displacement and Momentum thickness)
Understand about External flow Concepts (Drag Coefficient and Drag in Vehicles)
Explanation of Airfoil and the Performance of Airfoil
Understand Advanced concepts about CFD and its Applications.
Requirements
Just Basic Knowledge of Physics and Chemistry as this course is start from the very basic level.
As this course is designed for engineering university students so the prior knowledge is important.
Description
This is one of the detailed (29 Hours) course on Fluid Mechanics that can provide you with advanced concepts of Fluid Mechanics that is very essential for all Precessing Engineering Fields.
This is an advanced course in Fluid Mechanics. The subject Fluid Mechanics has a wide scope and is of prime importance in several fields of engineering and science. The present course emphasizes the fundamental underlying fluid mechanical principles and the application of those principles to solve real-life problems. Special attention is given to deriving all the governing equations starting from the fundamental principle. There is a well-balanced coverage of physical concepts, mathematical operations along with examples and exercise problems of practical importance. After completion of the course, the students will have a strong fundamental understanding of the Principles of Fluid Mechanics and will be able to apply the Principles to analyze fluid mechanical systems.
This course is of relevance to engineers and scientists across a wide range of mechanical chemical and process industries who must understand, analyze and optimize flow processes and fluids handling problems. Applications are drawn from hydraulics, aero & hydrodynamics as well as the chemical process industries.
This Course is Specially designed for the Automobile and Aviation industries.
Lecture-1 Introduction to Fluid
Subject of Fluid Mechanics
Laws in scientific study
Engineering approach of problem solving
Fluid definition
Newton's law of viscosity
Newtonian and Non-Newtonian fluid
Problems based on Newton's law of Viscosity
Lecture-2 Continuity Equation
Principle of conservation of mass
Differential and Integral approach
Eulerian and Lagrangian approach
Inventory Equation
Derivation of Continuity equation-Differential approach
Conservation and Non-Conservation forms of Continuity
Material derivative
Scalar and Vector field
Acceleration field
Lecture-3 Momentum Equation
Newton's Second law of motion
Body force
Surface force
Momentum Equation in differential form
Stokes postulate
Navier-Stokes Equation
Lecture-4 Application of Navier Stokes equation
N-S equation as governing equation of fluid flow
Application of N-S equation for a steady and laminar fluid flow between two fixed infinitely long plates.
Velocity profile
Volume flow rate calculation from velocity profile
Local velocity, average velocity, maximum velocity
Calculating Reynolds Number from Velocity profile
Lecture-5 Application of Navier Stokes equation - Couette flow
Physical meaning of N-S equation
Fully developed flow
Application of N-S equation for a steady and laminar fluid flow between one fixed and one moving plate-Couette Flow
Applications of Couette flow
Lecture-6 Reynolds Transport Theorem Derivation
Control Mass (A System) and Control Volume
Lagrangian and Eulerian Approach
Extensive and Intensive property
Derivation of Reynolds Transport Theorem (RTT)
Interpretation of net flux term of RTT
Lecture-7 Reynolds Transport Theorem - Continuity Equation
Reynolds Transport Theorem (RTT)
Deriving Continuity Equation using RTT
Mass flow rate, Volume flow rate, and Average speed
Differential and Integral form of Continuity Equation
Lecture-8 RTT-Continuity Equation Numericals
Continuity Equation in Integral form
Solving numerical problems using Continuity Equation
Lecture-9 RTT- Linear Momentum Equation
Reynolds Transport Theorem (RTT)
Deriving Momentum Equation using RTT
Resultant Forces acting on a CV
Momentum accumulation in a CV
Momentum flow through a CV
Lecture-10 RTT- Angular Momentum Equation
Reynolds Transport Theorem (RTT)
Deriving Angular Momentum Equation using RTT
Problem based on Linear and Angular Momentum
RTT for Moving and Deforming CV
Lecture-11 Kinematics of Flow- Flow types
Fluid Flow Visualization- Classics
Streamline
Path-line
Streak-line
Time-line
Software for flow visualization (2dflowvis)
Lecture-12 Kinematics of Flow- Irrotational Flow
Motion of fluid Element
Transformation of fluid element
Angular velocity vector
Vorticity Vector
Irrotational flow field
Lecture-13 Kinematics of Flow- Stream function
Visualizing velocity field-Java Applet
Visualizing velocity field- Maple
Stream function
Change in the value of stream function
Problem on stream function
Stream function in polar coordinates
Lecture-14 Kinematics of Flow- Circulation
Circulation
Relationship between Circulation and Vorticity
Stoke's theorem
Problem on Circulation
Physical meaning of Divergence of a vector
Circulation and Divergence in Java Applet
Lecture-15 Potential Flow- Velocity potential function
Velocity Potential function, φ
Potential flow
Relationship between ψ and φ
Flow net
Velocity potential function in cylindrical coordinates
Velocity Potential function in Java Applet
Lecture-16 Potential Flow- Basic potential flows
Uniform flow
Source and Sink flow
Vortex flow
Stream function and Velocity potential function for basic flows
Lecture-17 Potential Flow- Superposition of potential flows-I
Superposition of basic potential flows
Doublet
Half body
Lecture-18 Potential Flow- Superposition of potential flow-II
Flow around a cylinder
Flow around a cylinder-Velocity and pressure distribution
Flow around a cylinder-Drag and Lift
Rankine body
Problem on Rankine Body
Lecture-19 Potential Flow- Superposition of potential flow-III
Superposition of basic potential flows
Flow around a cylinder with circulation
Magnus Effect
Problem- Flow around a cylinder with circulation
Lecture-20 Turbo-machine- Fluid Machines
Fluid machines classification
Positive Displacement machines
Turbo-machines
Comparison of PDPs and Roto-dynamic pumps
Turbo-machine Classifications
Scope of Turbo-machines
Lecture-21 Turbo-machine- Euler's Equation
One dimensional flow through an impeller
Velocity triangle
Euler's equation of turbo-machine
Lecture-22 Turbo-machine- Blade Angles
Velocity triangle
Velocity triangle at inlet-assumptions
Effect of blade angle on head
Typical Characteristic curve of a centrifugal pump
Effect of blade angle on Characteristic curve
Lecture-23 Turbo-machine- Performance-I
Problem-Centrifugal blower
Static, Friction and System head
Pump Losses
Pump Efficiency
Pump Performance Characteristic curves
Lecture-24 Turbo-machine- Performance-II
Pump System Curve
Pumps in Series and Parallel
Pump Affinity laws
Pump specific speed
Lecture-25 Turbo-machine- Turbine
Turbine
Schematics of hydraulic turbines
Velocity triangles of Turbine
Impulse Turbine
Reaction Turbine
Degree of Reaction
Lecture-26 Turbo-machine- Turbine Performance
Pump and Turbine Efficiencies
General Energy Equation
Problem-Turbine
Affinity laws for Turbine
Turbine specific speed
Lecture-27 Boundary layer- Concept
Classification of flows
One dimensional and multi dimensional flow
Steady and Unsteady flow
Uniform and Non-Uniform flow
Inviscid and Viscous flow
Attached and Flow separation
Laminar and Turbulent flow
Prandtl-Boundary layer concept
Growth of boundary layer thickness
Lecture-28 Boundary layer- Order Analysis over Flat plate
Order of Magnitude or Scale Analysis
Order of Magnitude Analysis over flat plate
Boundary layer thickness as a function of Reynold's Number
Wall shear stress using Scale Analysis
Skin friction coefficient using Scale Analysis
Lecture-29 Boundary layer- Blasius solution
Laminar boundary layer on a flat plate
Blasius solution
Wall shear stress using Blasius solution
Friction coefficient using Blasius solution
Problem- Using Blasius solution
Lecture-30 Boundary layer- Turbulent flow over flat plate
Turbulent flow
Governing Equations in Turbulent flow
Boundary layer in Turbulent flow
Velocity profile in laminar and turbulent flow
Velocity distribution in turbulent boundary layer
Law of wall
Lecture-31 Boundary layer- Displacement and Momentum thickness
Disturbance or Boundary layer thickness
Displacement thickness
Displacement thickness using Blasius solution
Momentum thickness
Momentum thickness using Blasius Solution
Relative amount of displacement and momentum thickness for laminar flow over flat plate
Lecture-32 Boundary layer- Approximate solution
Control Volume analysis for Boundary layer
Von Karman Solution
Von Karman Integral equation
Approximate solution to Laminar boundary layer over flat plate
Lecture-33 Boundary layer- Skin Friction Coefficient
Friction Coefficient for laminar boundary layer
Local and Average skin friction coefficient
Friction Coefficient for Turbulent boundary layer
Friction Coefficient for Mixed boundary layer
Problem- Mixed boundary layer over flat plate
Lecture 34 Introduction to EES-Parametrics and plotting
Lecture-35 External flow- Introduction
External flow- Application
Forces and Moments on arbitrary shape body
External Flow over a flat plate and cylinder
External flow- Low and High Reynolds's Number flows
Introduction to Open channel flow
External flow characteristics
Lecture-36 External flow-Drag and Lift
Resultant force on a body
Drag and lift Forces
Drag Coefficient
Problem-Drag coefficient
Pressure and Shear stress distribution
Lecture-37 External flow- Drag Coefficient-1
Drag and lift Forces-Alternate Method
Drag coefficient for slender bodies
Problem-Drag coefficient
Factors affecting drag coefficient
Lecture-38 External flow- Drag Coefficient-2
Drag coefficient for common geometries
Drafting
Fairing

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Mastering CAN Network: Vector CANoe,CANalyzer, CAPL& Theory
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.59 GB | Duration: 3h 57m
CAN network theory and practice : Vector CANoe,CANalyzer, CAPL, CANdb++, CANCase for network simulation​

What you'll learn
Analyze a real CAN network on a prototype vehicle and make diagnosis
Applying for automotive testing/ programming job positions which requires the complete knowledge of the CAN network
CAN network protocol 2.0A & 2.0B from scratch
Configure a real life project with VECTOR CANoe, VECTOR CANalyzer
CAPL programming
Configure en entire CAN network hardware
Understand how the CAN works on the real vehicle
Requirements
Basilar electronics concepts
Description
You will be able to face with an automotive testing activity and you will be able to analyze the whole network of a real car in terms of diagnosis and functionalities features
No required previous knowledge is required, I will explain step by step what you need for to pass from Beginner to Advanced Automotive Expert
Apply immediately for automotive programming/ testing positions!
Who this course is for
Electrical Engineers
Electrical Technicians
Electrical Tech or Engineering Students
Process Control Technicians and Engineers
Process Automation Engineers
Programmers working in the Process Automation field
Automotive Engineers
Automotive Technicians

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NFT Marketing Essentials: Core Principles of Selling NFT's
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 408 MB | Duration: 34m
A beginners guide to NFT Marketing
What you'll learn​

The core principles of Marketing and how they relate and can be applied to the NFT space
The Anatomy of a Successful NFT Project
Audience Insight & Segmentation
Posiitoning, Brnding, Messaging, Channels and Tactics + Measurement
Requirements
No pre-requirements
Description
This is your beginners guide to NFT marketing, highlighting the core marketing principles and how you can apply them to sell your NFT's. We will get things kicked off by looking at the anatomy of a successful NFT project using real world examples and helping you understand what you can leverage for your own plan. We'll then move on to the 3 core things you must know before you begin. We talk you through audience insights and segmentation, this is all about helping you understand what you need to know about your NFT collector to sell to them and how you get to this place.
You will learn about positioning, branding and messaging as well as channels and how to select the right ones for the NFT space. We also take you through tactical mix and help you work out what to do and where to do it, again using real world examples so you can see what success looks like. Then finally we talk about measurement and smart objective setting.
We are committed to seeing the NFT space thrive as we are motivated by the creative talent, brilliance, curiosity and resourcefulness of the individuals who make up this community of Art collectors and creatives. We believe in the democratisation of knowledge and want to help distribute this new form of digital power and wealth, we believe that we can make success in NFT's more accessible to a broader range of people.
We started WAGMI 100 with the intention of helping as many individuals as we could succeed, our success exists in the wins of others.
None of this is financial advice.
Who this course is for
NFT collection and Project artists and creators who want to sell their NFT's
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No-Code Web App Development for beginners
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 245 MB | Duration: 52m
Build Web Applications with no code
What you'll learn​

Build Web Apps with no code
Use built-in authentication with apps you build
Build pages for your app
Deploy your app to a live environment
Build a Todo List Web App
Requirements
No programming experience required
Description
What is no-code development?
No-code development is a type of web development that allows non-programmers and programmers to create software using a graphical user interface, instead of writing code. The no-code movement rests upon the fundamental belief that technology should enable and facilitate creation, not be a barrier to entry.
So much that we do in our day to day lives is powered by code. Whether we're checking our bank accounts, liking friends' photos on social media, or are searching for new outfits on our favourite ecommerce sites, programming is what makes all of these actions possible.
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For the majority of us who lack the know-how in writing code, the idea of crafting a web app, or building a website seems forever out of reach. But what was once a space that only developers and those well-skilled in coding could navigate, is now open to everyone. The no-code movement has removed the obstacle of having to know programming languages, letting anyone bring their ideas to light.
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Where app development and launching web applications was once only possible by skilled programmers, no-code development platforms, along with the wealth of tutorials out there can get anyone on their way to getting their ideas out there. Being a non-programmer no longer matters.
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No-code is simply an abstraction layer over code. Meaning, it takes the fundamentals of code and translates them into simple drag and drop solutions - allowing creators to build modern apps and websites visually.
Who this course is for
Anyone who wants to build an app but can not code.
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Data Analysis with Tableau and Alteryx
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 700 MB | Duration: 1h 56m
Become a Data Analyst with Tableau and Alteryx
What you'll learn​

Setup Tableau Data Analysis Environment
Setup Alteryx Data Analysis Environment
Connect Tableau to data source
Join data sources
Clean Data
Present data in stories
Connect Alteryx to data source
Transform data
Filter Data
Analyse data
Requirements
No Tableau or Alteryx experience required.
Description
Data analysis is a process of inspecting, cleansing, transforming, and modelling data with the goal of discovering useful information, informing conclusions, and supporting decision-making.
Tableau Software is an interactive data visualization software company focused on business intelligence. Tableau Software is a tool that helps make Big Data small, and small data insightful and actionable. The main use of tableau software is to help people see and understand their data.
Tableau is one of the fastest evolving Business Intelligence (BI) and data visualization tool. It is very fast to deploy, easy to learn and very intuitive to use for a customer.
Alteryx is a software solution that allows users to quickly access, manipulate, analyse, and output data. This can be done in a one-off manner or, more commonly, the process (called a "workflow") is something people use on a recurring (daily, weekly, monthly) basis.
Alteryx is a platform that allows companies to answer business questions quickly and efficiently. The platform can be used as a major building block in a digital transformation or automation initiative. Alteryx allows teams to build processes in a more efficient, repeatable, less error-prone, and less risky way. Unlike many tools, Alteryx is easy for business users without an IT background to use.
Alteryx is a software solution that allows users to quickly access, manipulate, analyse, and output data. This can be done in a one-off manner or, more commonly, the process (called a "workflow") is something people use on a recurring (daily, weekly, monthly) basis. The way Alteryx builds workflows becomes a form of process documentation allowing users to see, collaborate on, support, and enhance the process. Data can be read and written to files, databases, and APIs. Alteryx also comes with functionality that enables predictive analytics and geospatial analysis.
Who this course is for
Beginners to Tableau and Alteryx
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Virtual LEGO Robotics Toolkit Basics
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 570 MB | Duration: 43m
Learn to Program Virtual EV3 Robot
What you'll learn​

Learn to use virtual simulator to see programming output
Learn to program and control virtual robot
Learn to program a robot using EV3 Lab software
Learn to participate in Virtual Robot Competitions
Requirements
LEGO Mindstorms EV3 Lab Software(Free software)
Virtual Robotics Toolkit Software
Description
Do you want to learn robotics but do not have a robotics kit? If yes then this course is for you.
Virtual LEGO Robotics is a tool to learn coding through robotics in a game-like environment. In this course, you will learn how to use LEGO Mindstorms EV3 Lab software to control EV3 robots in Virtual Robotics toolkit software. In this course, I have explained how to download and install Virtual Robotics Toolkit software, how to connect EV3 Lab software with Virtual robotics toolkit software. I have given a brief idea of the Simple and Advanced mode toolbars of VRT.
After finishing this course you will also understand how to participate in virtual robotics competitions. You need to install two software on your computer before you enroll in this course. The first software is LEGO Mindstorms EV3 Lab software and another is Virtual Robotics Toolkit. LEGO Mindstorms EV3 Lab software is free software and Virtual Robotics Toolkit is paid software. When you install Virtual Robotics Toolkit software first time you will get 15 days trial and after that, you need to buy the software.
Learning outcomes
Learn to use the virtual simulator to see programming output
Learn to program and control a virtual robot
Learn to program a robot using EV3 Lab software
Learn to participate in Virtual Robot Competitions
Requirements for taking this course
You need LEGO Mindstorms EV3 Lab Software(Free software)
Virtual Robotics Toolkit Software
Who this course is for
Suitable for students age group 9+ years old
Students who are interested to start basic robotics and coding course
Students who are interested in Virtual Robot Programming
Teachers who are looking for some coding and robotics activities online
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Build Dashboards with Power BI
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 343 MB | Duration: 1h 4m
Connect ,Transform, Visualize data and build dashboards
What you'll learn​

Learn to connect to data in Power BI desktop
Transform and model the data you import
Build basic visualizations
Create and share a dashboard
Discover how to collaborate in Power BI
Requirements
Basic knowledge of excel advised
Description
Dashboards in Power BI are one-page collections of visualizations that are created from within the Power BI service (online). You can create dashboards by pinning visuals from reports.
We all live in a data culture where business decisions are based on facts, not opinions. We need data to help us make these decisions. Power BI Desktop is a free application for PCs that lets you gather, transform, and visualize your data. Power BI Desktop and the Power BI Service work together. You can create your reports in Power BI Desktop and then publish them to the Power BI Service for others to consume.
Power BI Desktop connects to many types of data sources, including local databases, worksheets, and data on cloud services. Sometimes when you gather data, it's not quite as structured, or clean, as you want it to be. To structure data, you can transform it, meaning that you can split and rename columns, change data types, and create relationships between columns.
You can connect Power BI Desktop to many types of data sources, including on-premises databases, Microsoft Excel workbooks, and cloud services. Currently, there are over 110 Power BI-specific connectors to cloud services such as GitHub You can also connect to generic sources through XML, CSV, text, and ODBC. Power BI will even extract tabular data directly from a website URL.
Data doesn't always come into your report clean, or ready to use. You may need additional columns or to rename or hide existing columns. You may have multiple data sources and need to define a relationship between them. All of these tasks are known as data transformation.
Visuals allow you to present data in a compelling and insightful way and help you to highlight the important components. Power BI has many compelling visuals and many more are released frequently.
Who this course is for
Beginners to Power BI
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