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Linkedin Learning Security Tips Protecting Sensitive Information-XQZT

Linkedin Learning Security Tips Protecting Sensitive Information-XQZT | MKV | 291.64 MiB

263 kb/s 1280x720 | AAC 2 CH eng



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Linkedin Learning Microsoft Power Apps Using the Dataverse Formerly the Common Data Service-XQZT

Linkedin Learning Microsoft Power Apps Using the Dataverse Formerly the Common Data Service-XQZT | MKV | 163.05 MiB

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Certified Information Security Manager (CISM): Part 2 - Domains

Certified Information Security Manager (CISM): Part 2 - Domains
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Difficulty: Intermediate | Genre: eLearning | Language: English + srt | Duration: 7h | Size: 5.34 GB


Description
This learning path provides a deep dive into information security and prepares you for the Certified Information Security Manager (CISM) exam.

By the time you reach the end of this learning path, you will have a comprehensive understanding of information security and will be well equipped to take the CISM exam.

Learning Objectives
Obtain a comprehensive understanding of information security and risk management including roles, functions, resources, goals, strategies, metrics, controls
Understand how an organization can identify and analyze risk and learn the constraints to risk management
Get a solid understanding of how to build risk management action plan, how people and process are essential for risk management
Learn about the training, the technical aspects, and standards for risk management
Understanding how to monitor and measure risk, and also mitigate risk through controls
Understand how to set goals and strategies for managing information security and learn about the metrics used to measure security performance
Obtain a solid understanding of security incident management, set goals for responding to incidents, and understand the additional resources that help for managing incidents

Intended Audience
This learning path is intended for anyone studying for the Certified Information Security Manager (CISM) exam or who simply wants to learn about information security in general.

Prerequisites
This is a beginner-level learning path so you don't need to have existing knowledge of information security. We do, however, strongly recommend that you take the CISM: Part 1 - Foundations learning path before embarking on this one.

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TGC - Visual Literacy Skills: How to See

TGC - Visual Literacy Skills: How to See
Duration: 9h 51m | Video: .MP4 1280x720, 30 fps(r) | Audio: AAC, 48000 Hz, 2ch | Size: 8.29 GB
Genre: eLearning | Language: English

For many of us, seeing really is believing. Your sense of sight is by far the most central and influential sensory apparatus you have. Science tells us that the eyes contain 70 percent of all the sensory receptors in our bodies, and that a full 90 percent of the information our brains process on a daily basis is visual.

This means that, to an astonishing degree, we know and navigate the world with our eyes. Visual perception plays a dominant role in how we experience life-from how we receive knowledge and information and how we perceive nature, art, and the world to the daily visual choices we make about how we present ourselves and how we live.

Unlike reading and writing, our educational system gives us little or no training for our all-important visual capacities, and we don't usually cultivate the skills of visual literacy. Yet, to do that-to consciously develop your understanding of visual perception, and your ability to deeply observe, interpret what you see, and communicate visually-opens an extraordinary world of experience, deepening your perceptions on all levels, and your capacity to appreciate the richness of the world around you.

But visual literacy has an even greater urgency: The world is becoming increasingly visual. More and more, we purchase things of all kinds based on what we see, and most of the information we receive and make decisions with is visual. Within the huge amounts of visual input we receive, the boundaries between what is representation and what is illusion are increasingly blurred, and the ability of visual input to manipulate us is a fact of contemporary life.

In Visual Literacy Skills: How to See, taught by award-winning Professor Carrie Patterson of St. Mary's College of Maryland, you'll take a deep and detailed look at the principles and skills of visual literacy, and how these visual skills directly inform our experience. These 24 compelling lessons teach you the vocabulary of art-line, shape, space, texture, color, and more-and how to see and evaluate them, as well as how to understand and employ the principles of visual design. Further, this course grounds you in how visual perception and visual language operate in art, design, and media, knowledge which increases your powers of communication, deepens your insight into visual persuasion and manipulation, and refines your skill and pleasure in the multi-dimensional world of visual experience.

Whether you're engaged in art or design, interested in building a personal brand, creating or re-doing a living space, or simply interested in enriching your skill in making visual decisions, this course trains you to see as artists, designers, and architects do, and helps you develop a life skill that has far-reaching consequences in the digital age.

Seeing through the Eyes of Artists and Designers

These lessons train you in a sophisticated level of visual literacy, not just in principle but in practice. The course opens with a deep dive into the physiology of vision, where you'll explore the mechanics of your eyes, the sensorial experience of sight, and how the brain organizes sensation into coherent visual experience.

Then you'll move into a deeper level of visual literacy. Here, you'll uncover how artists and designers perceive and understand the visual world with the intention of creating visual objects and environments. You'll observe how artists, designers, and architects communicatevisually, creating the visual messages that surround us and influence how we think and live. In the process, you'll study the tricks of the trade for designing objects that combine function and visual appeal, art that explores the reaches of space and time, and architectural spaces that reflect cultures and shared values.

The final section of the course explores what it means to make your visual skills an integral part of your life. Here, you'll discover how to develop habits that you, as a visually informed person, can cultivate to create an environment and lifestyle that reflects your unique view of the world, as well as your own style and perspective. By examining the methods and habits of creative people across various disciplines, you'll build a foundation for any creative work you may undertake.

Visual Language and Visual Communication

Professor Patterson illustrates the course material with hundreds of vivid images, photos, and diagrams, as well as video footage and studio demonstrations. In learning and practicing the skills of visual literacy, you'll delve into core subject matter such as:

The Phenomenon of Visual Perception. Building on the anatomy and physiology of sight, follow the complex processes through which the brain creates meaning from visual experience. Note how the way we interpret visual perception through our bodies lays the groundwork for how we interpret our own lives.
Representation vs. Illusion. Observe how we value both representation and illusion in art; how artists, designers, and photographers create illusion in their work; and how photography and screens alter our experience of the world. Grasp how media and visual communication can blur the line between fact and fiction.
Visual Foundations. Study visual syntax-the underlying structure of visual communication-across five lessons; delve deeply into the formal elements of art, beginning with line, shape, and value; also learn the principles of three-dimensional art and design, and investigate visual storytelling.
Visual Time. In a fascinating ramification of visual experience, observe how the element of time manifests in the perception of art; witness how artists evoke both fixed moments in time and the passage of time, and learn to express time visually.
Principles of Design. Investigate the core principles of visual design that are at work in the creation of any object or artwork, such as emphasis, balance, proportion, and scale. See how these elements work together in visual composition and communication, and learn to compose visually like an artist.
Build Habits of Creativity

In the final section of the course, Professor Patterson offers you a rigorous and penetrating look at the parameters of creativity. An engaging and informal speaker, her teaching reveals an amazingly detailed knowledge of the principles of art, design, and visual communication, together with far-reaching insight into the creative process, innovative thinking, and what it is to embody creativity in daily living.

Here, she offers you a rich range of methods for developing your own creative habits and practices. Among these, you'll explore:

The Art of Observation: Study techniques for suspending ordinary visual perception, cultivating powers of detailed observation and alternative ways of seeing, and making active observation a valuable life skill.

Pushing the Limits of Thinking: Take a provocative look at how innovative thinkers intentionally seek out new ways of thinking about and seeing the world. Learn practical methods for becoming a visual explorer in your daily travels, and for generating original thought.

The Creative Act: Learn detailed guidelines for becoming a creator of your own art, design, or visual communication. Apply the skills you've built in exploring the inspiration, the joy, and the satisfaction of creative work.

Visual Literacy Skills: How to See takes you on a remarkable perceptual journey, revealing and unpacking visual experience to a depth that most of us rarely engage with. In looking deeply at how we experience reality through visual perception, and the extraordinary ways we benefit from refined visual knowledge as consumers, communicators, and creators, you'll learn to turn your visual skills into a visually literate and enriched life.

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The Command Line Bootcamp: Beginner To Power User

The Command Line Bootcamp: Beginner To Power User
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 165 lectures (15h 44m) | Size: 7.11 GB

Level Up Your Skills And Take Control Of Your Machine, w/ Dozens of Commands, Projects, and Challenges!

What you'll learn:
Master the Command Line and Dozens of Commands!
Stop Relying On The Limited Graphical User Interface
Write Your Own Commands From Scratch
Automate Tasks and Schedule Jobs Using Cron
Control Your Computer Completely From The Command Line!
Master The Quirks Of File Permissions
Learn Powerful Keyboard Shortcuts To Improve Your Efficiency
Construct Powerful Command Pipelines

Requirements
No Prior Experience Required
All You Need is a Windows, Linux, or Mac Computer


Description
Welcome to The Linux Command Line Bootcamp, a brand new course that aims to turn you into a command line power user! This course will teach you dozens and dozens of powerful commands (see the long list at the bottom), but more importantly it gives you the tools the continue to learn new commands and take full control of your machine. The skills you learn in this course will make you a stronger web developer, data scientist, machine learning engineer, game dev, or plain old computer user! You will feel POWERFUL!!

Hi there, my name is Colt Steele. I've spent years leading in-person software engineering bootcamps and have helped thousands of students change careers. Online I've taught over a million students and have hundreds of thousands of 5 star ratings and reviews.

This is an interactive course full of exercises and fun challenges that force you to practice the skills you are learning. You'll encounter some of the same assignments and projects that my in-person bootcamp students experience. Learning command after command can be a dreadfully boring experience, but I've tried my best to make this course as exciting and interesting as possible You may roll your eyes at my jokes, but you won't be bored!

==Curriculum: The Short Version==

This course covers a TON. Here's a short summary of the key points. Scroll down for a more in-depth explanation.

Learn dozens and dozens of powerful commands (see the long list below)

Understand the big picture: how ALL commands fit together

Build complex data pipelines by stringing multiple commands together

Master command-line navigation and Linux folder structure

Create, delete, move, copy, and rename files and folders

Decipher and manipulate Unix file permissions

Use powerful searching commands like find, locate, and grep

Master redirection of standard input, standard output, and standard error

Write your own custom commands from scratch!

Customize the shell: write your own helpful aliases, tweak the prompt, etc.

Master Bash expansions and substitutions

Automate tedious tasks using cron and cronjobs

Edit files directly from the command-line using nano

Master keyboard shortcuts to increase your command-line efficiency

==Curriculum: The Long Version==

The course starts with a deep dive into confusing technical terms like terminal, shell, kernel, Unix, Unix-Like, GNU, Linux, and Bash. It's important to understand the context and the WHY's around the command line and its history that still impacts our machines today.

Then we shift our focus to the general patterns and structure that all commands follow including options and arguments. This blueprint we define will inform every single other topic we cover throughout the rest of the course. You'll also learn HOW to learn more about specific commands using the man, help, which, and type commands.

Next, we cover the super-important Linux folder structure and learn essential commands for navigating our machines including ls, pwd, and cd. You'll be an expert navigator in no time!

From there we learn to create new files and folders right from the command line using the commands touch, mkdir, and file. Next, we dive deep into a special text-editor built right into the command line called Nano. You'll learn to open and edit files using Nano, master various Nano shortcuts, and even learn how to configure nano's global settings.

The next section covers the powerful commands rm, mv, and cp. You'll learn how to remove individual files and entire directories, move and rename files, and copy files and folders right from the command line. These are some of the most useful commands you can know!

Then we take a quick break to focus on useful keyboard shortcuts you can use to improve your terminal efficiency, before diving into the history command and history expansion.

The next section covers tons of commands that have to do with manipulating file contents, including less, cat, tac, rev, head, tail, wc, and sort. Then we cover the three standard streams: standard input, standard output, and standard error. You'll learn to redirect all three streams and take full control over your data.

Next we move to my favorite topic: piping! In this section you'll learn how to construct complex and powerful pipelines by stringing together multiple individual commands. You'll also learn about the tr command and the tee command along the way.

From there we learn to "speak" the language of the shell using Expansion and Substitution. You'll learn the ins and outs of pathname expansion using wildcard characters, tilde expansion, and the super powerful curly brace expansion. We also cover arithmetic expansion, command substitution, and single and double quoting.

Next up we learn about two commands that help us find files on our machine: locate and find. We pay special attention to the find command and its many fancy options and use-cases. You'll learn how to find files by name, size, timestamps, and more. You'll also learn how to bulk-edit files using find's exec option and the xargs command.

We then shift our focus to the grep command. You'll learn how to use grep to recursively search the contents of files and match complex files using regular expressions.

Next, we spend some time discussing the details of file permissions. You'll learn how to read file attributes and understand read, write, and execute permissions. In the next section, we learn how to alter permissions using commands including chmod, chown, sudo, and su.

In the next section, we learn how to customize our shell experience. You'll learn to write your own custom aliases, work with shell variables, and even create your own fancy prompt. Then we learn how to create our own complex commands from scratch and the basics of bash scripting! By the end you'll be writing and running your own programs.

Finally, we learn about the mysterious cron daemon. You'll learn the odd-looking cron syntax to set up your own automated and scheduled cronjobs.

==THE END==

Whether you have some experience with basic commands or you're a complete beginner, this course will help take your skills to the next level. Learning the command-line is one of the rare skills that transcends the typical divisions between web development, data science, machine learning, or any other tech disciplines. If you work with a computer daily, you will benefit from mastering the command-line. The commands you learn in the course will change the way you interact with your machine, giving you all new workflows and strategies and POWER over your computer! More importantly, you'll leave this course prepared to conquer ALL the commands that are waiting for you out in the real world and on the job.

=

Here's an incomplete list of the commands covered in the course:

date

cal

ncal

echo

man

help

which

type

ls

cd

pwd

touch

mkdir

nano

rm

rmdir

mv

cp

cat

less

tac

rev

head tail

wc

sort

tr

tee

locate

du

find

grep

xargs

chmod

sudo

su

chown

addgroup

adduser

export

source

crontab

tar

Who this course is for
Anyone interested in becoming a command line power user!
Computer users who want complete control over their machine
Anyone interested in web development, data science, or a career that involves code!
Students with some prior command line experience who want to gain complete mastery

Homepage

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TensorFlow Developer Certificate in 2021: Zero to Mastery (Updated 05/2021)

TensorFlow Developer Certificate in 2021: Zero to Mastery (Updated 05/2021)
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 348 lectures (51h 4m) | Size: 26.7 GB

Pass the TensorFlow Developer Certification Exam by Google. Become an AI, Machine Learning, and Deep Learning expert!

What you'll learn:
Learn to pass Google's official TensorFlow Developer Certificate exam (and add it to your resume)
Build TensorFlow models using Computer Vision, Convolutional Neural Networks and Natural Language Processing
Complete access to ALL interactive notebooks and ALL course slides as downloadable guides
Increase your skills in Machine Learning and Deep Learning, to test your abilities with the TensorFlow assessment exam
Understand how to integrate Machine Learning into tools and applications
Learn to build all types of Machine Learning Models using the latest TensorFlow 2
Build image recognition, object detection, text recognition algorithms with deep neural networks and convolutional neural networks
Using real-world images in different shapes and sizes to visualize the journey of an image through convolutions to understand how a computer "sees" information, plot loss and accuracy
Applying Deep Learning for Time Series Forecasting
Gain the skills you need to become a TensorFlow Certified Developer
Be recognized as a top candidate for recruiters seeking TensorFlow developers

Requirements
Mac / Windows / Linux - all operating systems work with this course!
No previous TensorFlow knowledge required. Basic understanding of Machine Learning is helpful


Description
Just launched with all modern best practices for working with TensorFlow and passing the TensorFlow Developer Certificate exam! Join a live online community of over 500,000+ students and a course taught by a TensorFlow certified expert. This course will take you from absolute beginner with TensorFlow, to becoming part of Google's TensorFlow Certification Network.

TensorFlow experts earn up to $204,000 USD a year, with the average salary hovering around $148,000 USD according to 2021 statistics. By passing this certificate, which is officially recognized by Google, you will be joining the growing Machine Learning industry and becoming a top paid TensorFlow developer! If you pass the exam, you will also be part of Google's TensorFlow Developer Network where recruiters are able to find you.

The goal of this course is to teach you all the skills necessary for you to go and pass this exam and get your TensorFlow Certification from Google so you can display it on your resume, LinkedIn, Github and other social media platforms to truly make you stand out.

Here is a full course breakdown of everything we will teach (yes, it's very comprehensive, but don't be intimidated, as we will teach you everything from scratch!):

This course will be very hands on and project based. You won't just be staring at us teach, but you will actually get to experiment, do exercises, and build machine learning models and projects to mimic real life scenarios. Most importantly, we will show you what the TensorFlow exam will look like for you. By the end of it all, you will develop skillsets needed to develop modern deep learning solutions that big tech companies encounter.

0 - TensorFlow Fundamentals

Introduction to tensors (creating tensors)

Getting information from tensors (tensor attributes)

Manipulating tensors (tensor operations)

Tensors and NumPy

Using @tf.function (a way to speed up your regular Python functions)

Using GPUs with TensorFlow

1 - Neural Network Regression with TensorFlow

Build TensorFlow sequential models with multiple layers

Prepare data for use with a machine learning model

Learn the different components which make up a deep learning model (loss function, architecture, optimization function)

Learn how to diagnose a regression problem (predicting a number) and build a neural network for it

2 - Neural Network Classification with TensorFlow

Learn how to diagnose a classification problem (predicting whether something is one thing or another)

Build, compile & train machine learning classification models using TensorFlow

Build and train models for binary and multi-class classification

Plot modelling performance metrics against each other

Match input (training data shape) and output shapes (prediction data target)

3 - Computer Vision and Convolutional Neural Networks with TensorFlow

Build convolutional neural networks with Conv2D and pooling layers

Learn how to diagnose different kinds of computer vision problems

Learn to how to build computer vision neural networks

Learn how to use real-world images with your computer vision models

4 - Transfer Learning with TensorFlow Part 1: Feature Extraction

Learn how to use pre-trained models to extract features from your own data

Learn how to use TensorFlow Hub for pre-trained models

Learn how to use TensorBoard to compare the performance of several different models

5 - Transfer Learning with TensorFlow Part 2: Fine-tuning

Learn how to setup and run several machine learning experiments

Learn how to use data augmentation to increase the diversity of your training data

Learn how to fine-tune a pre-trained model to your own custom problem

Learn how to use Callbacks to add functionality to your model during training

6 - Transfer Learning with TensorFlow Part 3: Scaling Up (Food Vision mini)

Learn how to scale up an existing model

Learn to how evaluate your machine learning models by finding the most wrong predictions

Beat the original Food101 paper using only 10% of the data

7 - Milestone Project 1: Food Vision

Combine everything you've learned in the previous 6 notebooks to build Food Vision: a computer vision model able to classify 101 different kinds of foods. Our model well and truly beats the original Food101 paper.

8 - NLP Fundamentals in TensorFlow

Learn to:

Preprocess natural language text to be used with a neural network

Create word embeddings (numerical representations of text) with TensorFlow

Build neural networks capable of binary and multi-class classification using:

RNNs (recurrent neural networks)

LSTMs (long short-term memory cells)

GRUs (gated recurrent units)

CNNs

Learn how to evaluate your NLP models

9 - Milestone Project 2: SkimLit

Replicate a the model which powers the PubMed 200k paper to classify different sequences in PubMed medical abstracts (which can help researchers read through medical abstracts faster)

10 - Time Series fundamentals in TensorFlow

Learn how to diagnose a time series problem (building a model to make predictions based on data across time, e.g. predicting the stock price of AAPL tomorrow)

Prepare data for time series neural networks (features and labels)

Understanding and using different time series evaluation methods

MAE - mean absolute error

Build time series forecasting models with TensorFlow

RNNs (recurrent neural networks)

CNNs (convolutional neural networks)

11 - Milestone Project 3: (Surprise)

If you've read this far, you are probably interested in the course. This last project will be good.. we promise you, so see you inside the course

TensorFlow is growing in popularity and more and more job openings are appearing for this specialized knowledge. As a matter of fact, TensorFlow is outgrowing other popular ML tools like PyTorch in job market. Google, Airbnb, Uber, DeepMind, Intel, IBM, Twitter, and many others are currently powered by TensorFlow. There is a reason these big tech companies are using this technology and you will find out all about the power that TensorFlow gives developers.

We guarantee you this is the most comprehensive online course on passing the TensorFlow Developer Certificate to qualify you as a TensorFlow expert. So why wait? Make yourself stand out by becoming a Google Certified Developer and advance your career.

See you inside the course!

Who this course is for
Anyone who wants to pass the TensorFlow Developer exam so they can join Google's Certificate Network and display their certificate and badges on their resume, GitHub, and social media platforms including LinkedIn, making it easy to share their level of TensorFlow expertise with the world
Students, developers, and data scientists who want to demonstrate practical machine learning skills through the building and training of models using TensorFlow
Anyone looking to expand their knowledge when it comes to AI, Machine Learning and Deep Learning
Anyone looking to master building ML models with the latest version of TensorFlow

Homepage

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Master Web Design in Adobe XD

Master Web Design in Adobe XD
Duration: 7h 26m | 77 Lessons | Video: 1280x720, 44kHz | 5.1 GB
Genre: eLearning | Language: English | Level: All

Create beautiful and responsive website designs in Adobe XD. This course will show you how you can design a beautiful website from scratch without any previous experience. Here's what's included:

essential exercises that will teach you how to work like a professional;
a complete web design project, from start to finish, both the desktop version and the responsive version;
how to prepare the design for coding;
how to understand what clients want & how to help them achieve their goals;
UI & UX principles that will help you design any website, no matter the style or client.
I made this course for anyone interested in web design - from beginners to professionals, from designers to coders, from business owners to someone who's looking to start a new career or earn some money.

Adobe XD is the next big thing in terms of design tools. It makes you look like a professional designer even if you're just a beginner. Start right now and take your designs to another level. At the end of this course, you'll have a beautiful project for your portfolio, but also a deep understanding of what makes a website design successful.

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NestJS - Building Real Project API From Scratch

NestJS - Building Real Project API From Scratch
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 39 lectures (7h 59m) | Size: 5.32 GB

Improve your NestJS skills with this series while developing an API for real application

What you'll learn:
Build real project with NestJS
Write high quality code in NestJS
Create reusable modules and services in NestJS

Requirements
A computer on which you can install software (Windows, MacOS, or Linux)
Javascript knowledge is required


Description
In this course we will build a Medium clone API using NestJS, Typescript, Typeorm and PostgreSQL. This course is fully focused on fast and deep dive into creation of API for real application with NestJS. We will start from scratch and step by step you will get close to finished real application. You will deeply understand how to structure your application, build reusable and understandable modules and services and split code into smaller chunks of code. We will write code together in efficient way to make it pure and avoid data complexity.

For each lesson you'll get source code of the lesson, so it's easy to see the progress and get a working app on any lesson you want.

What you will learn in this course:

Structure and configure project

Write high quality code with NestJS on real project

Create reusable modules, controllers and services

Implementing authentication

Deeply understand NestJS design patterns

No prior knowledge except of Javascript is needed (because I will teach you everything from basics) but if you have experience with any of this (Angular/NodeJS/Express/Typescript/Typeorm/PostgreSQL) it will be easier for you to go through this course.

If you are feeling like you learned NodeJS but you still still missing knowledge of how to build your own real application this course is what you need. This course is fully focused on creating the application without getting deep into basic knowledge of NodeJS!

Who this course is for
This course is for you if you want to develop API for real project from beginning to the end
This course is for everyone who is interested in learning developing with NestJS
This course is for you if you want to improve you knowledge of NestJS or backend development

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TTC - Money Management Skills

TTC - Money Management Skills
Duration: 6h 12m | Video: .MP4 1280x720, 30 fps(r) | Audio: AAC, 44100Hz, 2ch | Size: 5.21 GB
Genre: eLearning | Language: English

Money management can be intimidating, but the good news is that the newest research into the human brain can help us understand why we make mistakes and how we can create an effective plan to meet our financial goals. Learning to navigate complex financial markets and create good financial habits is essential to the all-important goal of gaining control over our financial future.

Money management requires knowledge of financial products, investment and risk theory, and essential tax rules. But it also requires an understanding of how we as fallible humans make mistakes. These lectures will go beyond the advice of a traditional money management course and delve into the emerging science of financial decision-making. With this course, you'll learn how to overcome your brain's programming and avoid following your emotions down the wrong financial path.

The goal of money management is to maximize our happiness at every stage of our lives. Whether you are a novice investor or a seasoned pro, a young person getting started in life or a Baby Boomer contemplating retirement, Money Management Skills is an excellent primer for creating financial security. Taught by financial expert and Texas Tech University professor Michael Finke, these 12 practical lectures will boost your confidence around money management. This is not a course for big investors looking for the next hot stock. Rather, these lectures are for regular people who want to make sound financial decisions without obsessing over the daily changes in the market.

For most of us, a few basic principles of money management can help us get our financial houses in order, answering such questions as:

What are the optimal uses of credit and debt?
Is home ownership actually a good investment?
How much insurance do I really need?
Where should I invest my money?
What should I do to prepare for retirement?
Money Management Skills takes you on a tour of some of the most widely available financial products, from mutual funds to life insurance to college savings accounts. Professor Finke offers evidence-based guidance for building a financial strategy using these products. When you complete the course, you will have all the important information you need to manage your finances-as well as being aware of psychological pitfalls to avoid.

Manage Money for Every Stage of Your Life

After reviewing the psychology of decision-making-and how our instincts often steer us wrong when it comes to loss aversion, risk tolerance, and information overload-Professor Finke explains the "life cycle theory" of financial planning. This eye-opening theory offers a framework for making financial decisions based on the different stages of your life, and it will give you an entirely new perspective on money management.

The goal is simple: to get the most out of your money across time. There is a time in all of our lives where we should be borrowing more and saving less, and a time when we should be saving more and borrowing less. As he teases out the implications of this framework, Professor Finke introduces you to the range of financial products and tools at your disposal, including:

liquid assets,
stocks and bonds,
mutual funds,
credit,
mortgages,
insurance, and
estate planning.
You'll receive a comprehensive overview of these options, as well as general guidance about the principles of taxation, building a credit history, analyzing your tolerance for risk, choosing a retirement age, and much more. Professor Finke ties it all together with the most up-to-date financial data and trends.

Create Your Long-Term Financial Plan

The tricky thing about financial management is that our instincts are often unreliable. Scientific evidence suggests that humans are hard-wired to make emotional decisions that prevent us from making good decisions under stress. For instance, we might be tempted to sell stock when the market falls, or we might overestimate certain risks while ignoring greater threats. The key to sound money management is to develop patience and discipline for the long haul.

Money Management Skills gives you a rational blueprint for setting financial goals, managing debt responsibly, setting aside money for retirement, taking advantage of tax benefits, navigating end-of-life issues, and much more. You'll discover a host of basic rules of thumb, such as:

Education is one of the most valuable investments you can make for yourself or your children.
Choose passive, low-expense mutual or index funds for long-term investing, and be sure to diversify your portfolio.
Term life insurance is a great value, but depending on your tolerance for risk, comprehensive auto insurance might not be such a good deal.
Retiring just a few years later can leave you with significantly more money to spend annually during your retirement.
While everyone's life is different, the information and sound advice in this course will empower you to create your own financial plan to reach your goals. Professor Finke provides a worry-free approach to handling all aspects of money management.

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Machine Learning with PyTorch

Machine Learning with PyTorch
MP4 | Video: h264, 1280x720 | Audio: AAC, 48000 Hz, 2 Ch
Language: English | Size: 8.26 GB | Duration: 6h 49m

Learn the main concepts and techniques used in modern machine learning and deep neural networks through numerous examples written in PyTorch

Overview
This course begins with the basic concepts of machine and deep learning. Subsequently, you gain a reasonable familiarity with the main features of PyTorch and learn how it can be applied to some popular problem domains.

Learn How To
Apply various machine and deep learning techniques
Understand the difference between various machine and deep learning libraries
Create classifiers
Enhance an existing classifier

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Java Data Structures and Algorithms Masterclass

Java Data Structures and Algorithms Masterclass
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 385 lectures (44h 42m) | Size: 10.2 GB

Data Structures and Algorithms from Zero to Hero and Crack Top Companies 100+ Interview questions (Java Coding)

What you'll learn:
Learn, implement, and use different Data Structures
Learn, implement and use different Algorithms
Become a better developer by mastering computer science fundamentals
Learn everything you need to ace difficult coding interviews
Cracking the Coding Interview with 100+ questions with explanations
Time and Space Complexity of Data Structures and Algorithms
Recursion
Big O
Dynamic Programming
Divide and Conquer Algorithms
Graph Algorithms
Greedy Algorithms

Requirements
Basic Java Programming skills


Description
Welcome to the Java Data Structures and Algorithms Masterclass, the most modern, and the most complete Data Structures and Algorithms in Java course on the internet.

At 44+ hours, this is the most comprehensive course online to help you ace your coding interviews and learn about Data Structures and Algorithms in Java. You will see 100+ Interview Questions done at the top technology companies such as Apple,Amazon, Google and Microsoft and how to face Interviews with comprehensive visual explanatory video materials which will bring you closer towards landing the tech job of your dreams!

Learning Java is one of the fastest ways to improve your career prospects as it is one of the most in demand tech skills! This course will help you in better understanding every detail of Data Structures and how algorithms are implemented in high level programming language.

We'll take you step-by-step through engaging video tutorials and teach you everything you need to succeed as a professional programmer.

After finishing this course, you will be able to:

Learn basic algorithmic techniques such as greedy algorithms, binary search, sorting and dynamic programming to solve programming challenges.

Learn the strengths and weaknesses of a variety of data structures, so you can choose the best data structure for your data and applications

Learn many of the algorithms commonly used to sort data, so your applications will perform efficiently when sorting large datasets

Learn how to apply graph and string algorithms to solve real-world challenges: finding shortest paths on huge maps and assembling genomes from millions of pieces.

Why this course is so special and different from any other resource available online?

This course will take you from very beginning to a very complex and advanced topics in understanding Data Structures and Algorithms!

You will get video lectures explaining concepts clearly with comprehensive visual explanations throughout the course.

You will also see Interview Questions done at the top technology companies such as Apple,Amazon, Google and Microsoft.

I cover everything you need to know about technical interview process!

So whether you are interested in learning the top programming language in the world in-depth and interested in learning the fundamental Algorithms, Data Structures and performance analysis that make up the core foundational skillset of every accomplished programmer/designer or software architect and is excited to ace your next technical interview this is the course for you!

And this is what you get by signing up today:

Lifetime access to 44+ hours of HD quality videos. No monthly subscription. Learn at your own pace, whenever you want

Friendly and fast support in the course Q&A whenever you have questions or get stuck

FULL money back guarantee for 30 days!

This course is designed to help you to achieve your career goals. Whether you are looking to get more into Data Structures and Algorithms , increase your earning potential or just want a job with more freedom, this is the right course for you!

The topics that are covered in this course.

Section 1 - Introduction

What are Data Structures?

What is an algorithm?

Why are Data Structures and Algorithms important?

Types of Data Structures

Types of Algorithms

Section 2 - Recursion

What is Recursion?

Why do we need recursion?

How Recursion works?

Recursive vs Iterative Solutions

When to use/avoid Recursion?

How to write Recursion in 3 steps?

How to find Fibonacci numbers using Recursion?

Section 3 - Cracking Recursion Interview Questions

Question 1 - Sum of Digits

Question 2 - Power

Question 3 - Greatest Common Divisor

Question 4 - Decimal To Binary

Section 4 - Bonus CHALLENGING Recursion Problems (Exercises)

power

factorial

productofArray

recursiveRange

fib

reverse

isPalindrome

someRecursive

flatten

captalizeFirst

nestedEvenSum

capitalizeWords

stringifyNumbers

collectStrings

Section 5 - Big O Notation

Analogy and Time Complexity

Big O, Big Theta and Big Omega

Time complexity examples

Space Complexity

Drop the Constants and the non dominant terms

Add vs Multiply

How to measure the codes using Big O?

How to find time complexity for Recursive calls?

How to measure Recursive Algorithms that make multiple calls?

Section 6 - Top 10 Big O Interview Questions (Amazon, Facebook, Apple and Microsoft)

Product and Sum

Print Pairs

Print Unordered Pairs

Print Unordered Pairs 2 Arrays

Print Unordered Pairs 2 Arrays 100000 Units

Reverse

O(N) Equivalents

Factorial Complexity

Fibonacci Complexity

Powers of 2

Section 7 - Arrays

What is an Array?

Types of Array

Arrays in Memory

Create an Array

Insertion Operation

Traversal Operation

Accessing an element of Array

Searching for an element in Array

Deleting an element from Array

Time and Space complexity of One Dimensional Array

One Dimensional Array Practice

Create Two Dimensional Array

Insertion - Two Dimensional Array

Accessing an element of Two Dimensional Array

Traversal - Two Dimensional Array

Searching for an element in Two Dimensional Array

Deletion - Two Dimensional Array

Time and Space complexity of Two Dimensional Array

When to use/avoid array

Section 8 - Cracking Array Interview Questions (Amazon, Facebook, Apple and Microsoft)

Question 1 - Missing Number

Question 2 - Pairs

Question 3 - Finding a number in an Array

Question 4 - Max product of two int

Question 5 - Is Unique

Question 6 - Permutation

Question 7 - Rotate Matrix

Section 9 - CHALLENGING Array Problems (Exercises)

Middle Function

2D Lists

Best Score

Missing Number

Duplicate Number

Pairs

Section 10 - Linked List

What is a Linked List?

Linked List vs Arrays

Types of Linked List

Linked List in the Memory

Creation of Singly Linked List

Insertion in Singly Linked List in Memory

Insertion in Singly Linked List Algorithm

Insertion Method in Singly Linked List

Traversal of Singly Linked List

Search for a value in Single Linked List

Deletion of node from Singly Linked List

Deletion Method in Singly Linked List

Deletion of entire Singly Linked List

Time and Space Complexity of Singly Linked List

Section 11 - Circular Singly Linked List

Creation of Circular Singly Linked List

Insertion in Circular Singly Linked List

Insertion Algorithm in Circular Singly Linked List

Insertion method in Circular Singly Linked List

Traversal of Circular Singly Linked List

Searching a node in Circular Singly Linked List

Deletion of a node from Circular Singly Linked List

Deletion Algorithm in Circular Singly Linked List

Method in Circular Singly Linked List

Deletion of entire Circular Singly Linked List

Time and Space Complexity of Circular Singly Linked List

Section 12 - Doubly Linked List

Creation of Doubly Linked List

Insertion in Doubly Linked List

Insertion Algorithm in Doubly Linked List

Insertion Method in Doubly Linked List

Traversal of Doubly Linked List

Reverse Traversal of Doubly Linked List

Searching for a node in Doubly Linked List

Deletion of a node in Doubly Linked List

Deletion Algorithm in Doubly Linked List

Deletion Method in Doubly Linked List

Deletion of entire Doubly Linked List

Time and Space Complexity of Doubly Linked List

Section 13 - Circular Doubly Linked List

Creation of Circular Doubly Linked List

Insertion in Circular Doubly Linked List

Insertion Algorithm in Circular Doubly Linked List

Insertion Method in Circular Doubly Linked List

Traversal of Circular Doubly Linked List

Reverse Traversal of Circular Doubly Linked List

Search for a node in Circular Doubly Linked List

Delete a node from Circular Doubly Linked List

Deletion Algorithm in Circular Doubly Linked List

Deletion Method in Circular Doubly Linked List

Entire Circular Doubly Linked List

Time and Space Complexity of Circular Doubly Linked List

Time Complexity of Linked List vs Arrays

Section 14 - Cracking Linked List Interview Questions (Amazon, Facebook, Apple and Microsoft)

Linked List Class

Question 1 - Remove Dups

Question 2 - Return Kth to Last

Question 3 - Partition

Question 4 - Sum Linked Lists

Question 5 - Intersection

Section 15 - Stack

What is a Stack?

What and Why of Stack?

Stack Operations

Stack using Array vs Linked List

Stack Operations using Array (Create, isEmpty, isFull)

Stack Operations using Array (Push, Pop, Peek, Delete)

Time and Space Complexity of Stack using Array

Stack Operations using Linked List

Stack methods - Push , Pop, Peek, Delete and isEmpty using Linked List

Time and Space Complexity of Stack using Linked List

When to Use/Avoid Stack

Stack Quiz

Section 16 - Queue

What is a Queue?

Linear Queue Operations using Array

Create, isFull, isEmpty and enQueue methods using Linear Queue Array

Dequeue, Peek and Delete Methods using Linear Queue Array

Time and Space Complexity of Linear Queue using Array

Why Circular Queue?

Circular Queue Operations using Array

Create, Enqueue, isFull and isEmpty Methods in Circular Queue using Array

Dequeue, Peek and Delete Methods in Circular Queue using Array

Time and Space Complexity of Circular Queue using Array

Queue Operations using Linked List

Create, Enqueue and isEmpty Methods in Queue using Linked List

Dequeue, Peek and Delete Methods in Queue using Linked List

Time and Space Complexity of Queue using Linked List

Array vs Linked List Implementation

When to Use/Avoid Queue?

Section 17 - Cracking Stack and Queue Interview Questions (Amazon,Facebook, Apple, Microsoft)

Question 1 - Three in One

Question 2 - Stack Minimum

Question 3 - Stack of Plates

Question 4 - Queue via Stacks

Question 5 - Animal Shelter

Section 18 - Tree / Binary Tree

What is a Tree?

Why Tree?

Tree Terminology

How to create a basic tree in Java?

Binary Tree

Types of Binary Tree

Binary Tree Representation

Create Binary Tree (Linked List)

PreOrder Traversal Binary Tree (Linked List)

InOrder Traversal Binary Tree (Linked List)

PostOrder Traversal Binary Tree (Linked List)

LevelOrder Traversal Binary Tree (Linked List)

Searching for a node in Binary Tree (Linked List)

Inserting a node in Binary Tree (Linked List)

Delete a node from Binary Tree (Linked List)

Delete entire Binary Tree (Linked List)

Create Binary Tree (Array)

Insert a value Binary Tree (Array)

Search for a node in Binary Tree (Array)

PreOrder Traversal Binary Tree (Array)

InOrder Traversal Binary Tree (Array)

PostOrder Traversal Binary Tree (Array)

Level Order Traversal Binary Tree (Array)

Delete a node from Binary Tree (Array)

Entire Binary Tree (Array)

Linked List vs Python List Binary Tree

Section 19 - Binary Search Tree

What is a Binary Search Tree? Why do we need it?

Create a Binary Search Tree

Insert a node to BST

Traverse BST

Search in BST

Delete a node from BST

Delete entire BST

Time and Space complexity of BST

Section 20 - AVL Tree

What is an AVL Tree?

Why AVL Tree?

Common Operations on AVL Trees

Insert a node in AVL (Left Left Condition)

Insert a node in AVL (Left Right Condition)

Insert a node in AVL (Right Right Condition)

Insert a node in AVL (Right Left Condition)

Insert a node in AVL (all together)

Insert a node in AVL (method)

Delete a node from AVL (LL, LR, RR, RL)

Delete a node from AVL (all together)

Delete a node from AVL (method)

Delete entire AVL

Time and Space complexity of AVL Tree

Section 21 - Binary Heap

What is Binary Heap? Why do we need it?

Common operations (Creation, Peek, sizeofheap) on Binary Heap

Insert a node in Binary Heap

Extract a node from Binary Heap

Delete entire Binary Heap

Time and space complexity of Binary Heap

Section 22 - Trie

What is a Trie? Why do we need it?

Common Operations on Trie (Creation)

Insert a string in Trie

Search for a string in Trie

Delete a string from Trie

Practical use of Trie

Section 23 - Hashing

What is Hashing? Why do we need it?

Hashing Terminology

Hash Functions

Types of Collision Resolution Techniques

Hash Table is Full

Pros and Cons of Resolution Techniques

Practical Use of Hashing

Hashing vs Other Data structures

Section 24 - Sort Algorithms

What is Sorting?

Types of Sorting

Sorting Terminologies

Bubble Sort

Selection Sort

Insertion Sort

Bucket Sort

Merge Sort

Quick Sort

Heap Sort

Comparison of Sorting Algorithms

Section 25 - Searching Algorithms

Introduction to Searching Algorithms

Linear Search

Linear Search in Python

Binary Search

Binary Search in Python

Time Complexity of Binary Search

Section 26 - Graph Algorithms

What is a Graph? Why Graph?

Graph Terminology

Types of Graph

Graph Representation

Graph in Java using Adjacency Matrix

Graph in Java using Adjacency List

Section 27 - Graph Traversal

Breadth First Search Algorithm (BFS)

Breadth First Search Algorithm (BFS) in Java - Adjacency Matrix

Breadth First Search Algorithm (BFS) in Java - Adjacency List

Time Complexity of Breadth First Search (BFS) Algorithm

Depth First Search (DFS) Algorithm

Depth First Search (DFS) Algorithm in Java - Adjacency List

Depth First Search (DFS) Algorithm in Java - Adjacency Matrix

Time Complexity of Depth First Search (DFS) Algorithm

BFS Traversal vs DFS Traversal

Section 28 - Topological Sort

What is Topological Sort?

Topological Sort Algorithm

Topological Sort using Adjacency List

Topological Sort using Adjacency Matrix

Time and Space Complexity of Topological Sort

Section 29 - Single Source Shortest Path Problem

SWhat is Single Source Shortest Path Problem?

Breadth First Search (BFS) for Single Source Shortest Path Problem (SSSPP)

BFS for SSSPP in Java using Adjacency List

BFS for SSSPP in Java using Adjacency Matrix

Time and Space Complexity of BFS for SSSPP

Why does BFS not work with Weighted Graph?

Why does DFS not work for SSSP?

Section 30 - Dijkstra's Algorithm

Dijkstra's Algorithm for SSSPP

Dijkstra's Algorithm in Java - 1

Dijkstra's Algorithm in Java - 2

Dijkstra's Algorithm with Negative Cycle

Section 31 - Bellman Ford Algorithm

Bellman Ford Algorithm

Bellman Ford Algorithm with negative cycle

Why does Bellman Ford run V-1 times?

Bellman Ford in Python

BFS vs Dijkstra vs Bellman Ford

Section 32 - All Pairs Shortest Path Problem

All pairs shortest path problem

Dry run for All pair shortest path

Section 33 - Floyd Warshall

Floyd Warshall Algorithm

Why Floyd Warshall?

Floyd Warshall with negative cycle,

Floyd Warshall in Java,

BFS vs Dijkstra vs Bellman Ford vs Floyd Warshall,

Section 34 - Minimum Spanning Tree

Minimum Spanning Tree,

Disjoint Set,

Disjoint Set in Java,

Section 35 - Kruskal's and Prim's Algorithms

Kruskal Algorithm,

Kruskal Algorithm in Python,

Prim's Algorithm,

Prim's Algorithm in Python,

Prim's vs Kruskal

Section 36 - Cracking Graph and Tree Interview Questions (Amazon,Facebook, Apple, Microsoft)

Section 37 - Greedy Algorithms

What is Greedy Algorithm?

Well known Greedy Algorithms

Activity Selection Problem

Activity Selection Problem in Python

Coin Change Problem

Coin Change Problem in Python

Fractional Knapsack Problem

Fractional Knapsack Problem in Python

Section 38 - Divide and Conquer Algorithms

What is a Divide and Conquer Algorithm?

Common Divide and Conquer algorithms

How to solve Fibonacci series using Divide and Conquer approach?

Number Factor

Number Factor in Java

House Robber

House Robber Problem in Java

Convert one string to another

Convert One String to another in Java

Zero One Knapsack problem

Zero One Knapsack problem in Java

Longest Common Sequence Problem

Longest Common Subsequence in Java

Longest Palindromic Subsequence Problem

Longest Palindromic Subsequence in Java

Minimum cost to reach the Last cell problem

Minimum Cost to reach the Last Cell in 2D array using Java

Number of Ways to reach the Last Cell with given Cost

Number of Ways to reach the Last Cell with given Cost in Java

Section 39 - Dynamic Programming

What is Dynamic Programming? (Overlapping property)

Where does the name of DC come from?

Top Down with Memoization

Bottom Up with Tabulation

Top Down vs Bottom Up

Is Merge Sort Dynamic Programming?

Number Factor Problem using Dynamic Programming

Number Factor : Top Down and Bottom Up

House Robber Problem using Dynamic Programming

House Robber : Top Down and Bottom Up

Convert one string to another using Dynamic Programming

Convert String using Bottom Up

Zero One Knapsack using Dynamic Programming

Zero One Knapsack - Top Down

Zero One Knapsack - Bottom Up

Section 40 - CHALLENGING Dynamic Programming Problems

Longest repeated Subsequence Length problem

Longest Common Subsequence Length problem

Longest Common Subsequence problem

Diff Utility

Shortest Common Subsequence problem

Length of Longest Palindromic Subsequence

Subset Sum Problem

Egg Dropping Puzzle

Maximum Length Chain of Pairs

Section 41 - A Recipe for Problem Solving

Introduction

Step 1 - Understand the problem

Step 2 - Examples

Step 3 - Break it Down

Step 4 - Solve or Simplify

Step 5 - Look Back and Refactor

Section 41 - Wild West

Who this course is for
Anybody interested in learning more about data structures and algorithms or the technical interview process!
Self-taught programmers who have a basic knowledge in Java and want to be professional in Data Structure and Algorithm and begin interviewing in tech positions!
Students currently studying computer science and want supplementary material on Data Structure and Algorithm and interview preparation for after graduation!
Professional programmers who need practice for upcoming coding interviews.

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Flutter with Firebase Build a Store app from scratch

Flutter with Firebase Build a Store app from scratch
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | VTT | Size: 5.20 GB | Duration: 8h 11m

Flutter Full Store app with firebase can be used in real life.


What you'll learn
This Flutter course a complete guide that helps in learning and building a fully functioning Flutter application with Firebase.
Teaching how to write Clean-code and avoid Boilerplate code
This course you how to make new designs and styles for your UI
Clear state management in a very detailed manner
Introduce new widgets and how to use them correctly


Description
Course prerequisites:

Basic knowledge in programming to get started

Basic knowledge in Flutter

Concepts are explained clearly. You will always learn what you're building and why, and then how to do it.

How this course can be of help:

Gaining more knowledge in flutter and firebase

Learn how to make an online shopping application simply

What's in the course:

Complex UI done simply

State management

Firebase

Clean-code and avoid Boilerplate code

Styles for UI

State Management: setState, lifting state up via callbacks, global access, scoped access with Provider and ChangeNotifier

Navigation

Dart

Forms, input handling and validation

Managing and updating packages

Databases and Cloud Firestore

ListViews and multiple UI states

Firebase Authentication

Firebase Firestore

Firebase Storage

Dart Programming Language - Fundamentals and intermediate topics

How to understand Flutter Mobile Development by building apps incrementally.

How to design, build, debug Flutter Android and iOS Apps

How to get Flutter apps to communicate with a realtime database - Firestore

How to build robust apps with Flutter

Flutter AppBar

Flutter Material Design

Flutter Row and Column

Flutter ListView Builder

Course structure:

approximately 8 hours of content and updated regally

Requirements:

Windows application development

Mac application development

Access to a computer with an internet connection.

and you are ready for the journey

Love learning about applying cutting-edge algorithms to practical cases!

What Should I Expect After this Course?:

The ability to build a fully functional shopping application with a firebase

new information regarding flutter


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Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

Download: Englische Tutorials

 

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Englische Tutorials

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