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Responsive Web Design For Beginners: HTML, CSS & Javascript

Responsive Web Design For Beginners: HTML, CSS & Javascript
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 68 lectures (11h 53m) | Size: 7.45 GB

Learn HTML5 CSS3 & Javascript from scratch and launch a career as a web designer

What you'll learn:
Create any website layout you can imagine
Support any device size with Responsive (mobile-friendly) Design
Learn how to work with responsive images and icons
Learn how to create forms
Learn how to use responsive grid system and typography

Requirements
An internet connection is necessary
No Web Design or coding knowledge or experience is necessary
Web browser


Description
Web designing is an art and not just coding.

You need a computer science degree and a great mathematical knowledge to code websites

These are myths we hear everyday about web designing.

What do you really need to learn web designing ?

A computer

Internet connection

to be interested in web designing

This course will take you from no prior knowledge to the first completely professional and responsive that looks great on phones, tablets, laptops, and desktops alike. website from scratch. You don't need any prior knowledge to enroll in this course.

Why this course instead of other web designing courses?

The only course on Udemy that will give you CSS Files that you can use their classes to add responsive grid, typography and Flexbox

Downloadable source code for all of the videos and projects

The support to build amazing websites

Tips to build amazing websites

How to draw a basic web design

We will know how to deal with responsive images

How to use JavaScript to change all the styles of the page

We will also know how to publish a website on a server.

Build a completely responsive website for web business that will teach you the most important CSS properties that any web designer should know to start his professional career

How to choose the best fonts and colors for the website

Who this course is for
Students who want to be professional web designers and front end web developers
students who have the desire to learn web designing
Web designers who want to take their skills to the professionalism

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Python From Scratch & Selenium WebDriver From Scratch 2021

Python From Scratch & Selenium WebDriver From Scratch 2021
MP4 | Video: h264, 1280x720 | Audio: AAC, 44100 Hz
Language: English | Size: 13.4 GB | Duration: 26h 20m



What you'll learn
You will learn how to write Python programming language
You will learn how to build test Framework for Front-end and Back-end automation
You will learn how to write Selenium WebDriver scripts using the Python programming language
Hands on training on Python Scripting will enable you to develop, understand and analyze scripts in Python
You will learn SQL (Database Language) to read and write to database
You will have good understanding of Selenium Web Automation Framework
You will learn to build an E-Commerce site locally to practice testing
You will generate html test reports with screen shots for failed tests
You will have all the required skills and you will be confident to Automate any Web Application Tests using Selenium WebDriver and Python Scripting
You will be confident during software Test Automation job interviews
You will practice writing real tests on real E-Commerce site

Requirements
Required basic understanding of computer and how to install and run software on your computer
Good to have basic knowledge about HTML and Web Applications
The desire to learn is all you need


Description
Attention all struggling Software Testers, Automation Testers and Students who are aspired to take their careers to next level in Software Web Application Test Automation.

Have you been trying endlessly to learn Selenium WebDriver Test Automation Framework to automate tests for your Web Applications, but haven't had any luck?

Do you want to learn Python Scripting and struggling to start?

Do you want to take your software testing skills to the next level?

If you have answered YES to any of those questions, then you are at the right place.!!!

Here is one of the Best-selling courses on Udemy to learn Python scripting from scratch and to learn Web Application Test Automation using Selenium WebDriver and Python.

Unlike other courses this course covers Python Scripting from scratch so even if you don't know anything about Python scripting you can take this course. Hands on training on Python Scripting and Selenium WebDriver will enable you to become master in Web Application Test Automation.

This course is designed for the Software Testers, Automation Testers, and even for Students who are aspired to take their career to next level by learning Web Application Test Automation using Selenium WebDriver and Python. This course includes the step by step guide to learn starting from installation of Python, and IDE (PyCharm) and Selenium WebDriver.

Why I should take this course?

With over 8.5 hours of videos and around 68 modules, you will get a great understanding of how to automate web applications tests using Selenium WebDriver and Python Scripting
Our aim is to make you understand Selenium WebDriver Framework and Python Scripting as quickly as possible
Unlike other courses this course covers Python Scripting from scratch so even if you don't know Python scripting you can take this course
You will have all the required skills and you will be confident to Automate any Web Application Tests using Selenium WebDriver and Python Scripting
Hands on training on Python Scripting will enable you to develop, understand and analyze scripts in Python
After taking this course you will be confident to appear for job interviews for Software Test Automation profiles
You will be able to put your Python and/or Selenium code on GitHub and use it in your resume
You have life-time access to this course and a 30-day satisfaction guaranteed with this course

Overview of the Course Contents -

Pythons Scripting - In the first half of this course you will have hands-on learning on Python Scripting, from the scratch. We will start with installation and configuration of Python, PIP, and PyCharm and introduction to Python scripting. Then we will learn about variables in Python, different data types, control flow, conditional statements, exception handling and functions in Python. We will understand all these points with examples. At the end of this section you will be able to develop, understand, and analyze any Python script code.
Selenium WebDriver - In the second part of this course we will talk about Selenium WebDriver. This section will also start from introduction and step by step installation of Selenium WebDriver. You will understand how to record and play the tests using Selenium IDE. Which is an additional tool in Software Testing. Then we will cover how to run Web Automation test scripts on different browsers such as Chrome and Firefox. Next we will talk about locating elements, basic actions, dealing with common elements, windows and frames in details. We will also learn how to deal with URL's, how to open ULR or links in new window and how to take screen shots. We will write working functions and run them against some well-known websites and watch WebDriver do its magic.

This is the course that could change your life.

After taking this course, you will become proficient in Web Application Test Automation using Selenium WebDriver with Python scripting. An investment in your software testing career is an investment in yourself. Don't procrastinate. There is no time like the present to take charge of your software testing career. Take your Software Testing and Test Automation skills to the next level by taking this course!

You have 30 days' money back guarantee.!!!

And remember that once you purchase the course you will have lifetime access to the course and you have a 30 days' money back guarantee if you do not like the course because of any reason. So, what are you thinking go ahead and click on the green "Buy Now" button.

See you inside the course.!!!


Who this course is for:
This course is designed for Software Testers, Automation Testers and even for Students who want to learn Software Web Application Test Automation using Selenium WebDriver
Unlike other courses this course covers Python Scripting from scratch, so even a beginner or novice can take this course
This course is ideal for anyone who want to build and/or enhance their career in Test Automation
Those who are looking to prepare Test Automation interviews can also take this course


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NLP - Beginner Level - Personal Growth Mastery

NLP - Beginner Level - Personal Growth Mastery
MP4 | Video: h264, 1280x720 | Audio: AAC, 44100 Hz
Language: English | Size: 5.60 GB | Duration: 6h 37m



What you'll learn
Introduction to NLP
Human Communication Model
Generative Success & Principles of Success
Hakkalau State of Learning
Presupposition of Success
Mind - Conscious & Unconscious
Sensory Acuity - Observation Skill
Rapport
Milton Model of Language
The Golden Circle & Golden Words
Mindfulness - The Ultimate Stress Buster
NLP Processes - Anchoring/ Collapse Anchor/ Circle of Excellence
Requirements
Your determination towards your success & Growth
No Pre-requisite for this course

Description
What is NLP?

NLP (Neuro Linguistic Programming) is 'the science & art of human excellence'.

NLP is a simple, easy to learn, yet powerful methodology for studying what goes on inside you. How you think, feel & act in different situations in your life.

NLP provides you with the keys to change your thinking processes to effect lasting positive change in your life.

With NLP , you can change 'how' you think about anything & transform your fears into strengths, overcome your limitations, change bad habits, get rid of phobias ....the list really is endless!

Here's the insight into what all the exciting things you are going to master:

Day 01:

Personal Growth Mastery - An art to master for growing as an individual person.

Operating Agreements - Certain agreements you need to make with yourself before starting this journey of your growth.

Neuro-Linguistic Programming - What it is all about?

Goal Setting - What you want to achieve by doing this program?

Concepts & Techniques - Short description of topics you are going to learn in this program.

Day 02:

Human Communication Model - An important model to learn to start your Personal Growth Mastery journey.

Events & Filters - Interesting terminologies related to Human Communication Model.

A detailed description of how different Filter works.

And the most important, how to implement what is learned in Human Communication Model in day to day life.

Day 03:

Simple steps that are required to be followed to coach others through NLP.

The Golden Circle - The secret behind successful marketing campaigns of companies like Apple, Coca-Cola, Cadbury, etc.

The Golden Words - How using some not so Golden Words can make a negative impact on your life? And how to avoid using them?

Day 04:

Generative Success - An easy and practical way to ensure to generate success for yourself.

3 Principles of Success - Mindset you need to follow to be more successful

How the Effect side is always greater than the Cause side?

How what we perceive becomes the only thing that we project?

How only you are responsible for every change you want in your life?

Day 05:

The Hakkalau State Of Learning - A state in which you can observe and learn things very quickly.

31 Presuppositions Of Success - Values required for developing a perfect mindset for leading a peaceful & successful life.

Day 06:

Mind - How it works? And how to make the best out of it?

A story with which the working of our mind is very much relatable.

Conscious and Unconscious Mind -

How does it function?

What are their properties?

Self-Sensitization Technique - A technique to cure any phobia by consciously reprogramming our unconscious mind.

Day 07:

Sensory Acuity - A technique to be learned to rightly observe the outer changes in the body of the client. And based on that changes, to understand their inner feelings.

Some important points to remember while using this technique of Sensory Acuity.

How to improve the relationship with anyone by applying this technique in your day to day life?

Day 08:

Rapport - A technique with which you can build and maintain a positive relationship with anyone you meet in just around no time.

How to use that technique in day to day life?

How to know whether this technique has worked successfully or not?

Day 09:

Power Of Language - How your voice plays a vital role in communication? And a way to control it for getting better results in communication.

Feedback Sandwich - An art of giving feedback in such a way that it doesn't create a negative impact on the other person.

Agreement Frame - An art of putting up your point/suggestion in such a way that it doesn't hurt the other persons feeling.

Chunking Strategy (Milton Model Of Language) - A simple strategy to use for improving your way of communicating.

Day 10:

Mindfulness - Art of Stress Release/ Increases Concentration/ Makes you Calm

Day 11: NLP Processes

Anchoring

Collapse Anchoring

Circle of Excellence

Day 12:

Summary Of The Whole Program

The Way Forward (What's Next?)


Who this course is for:
Trainers/ Coaches
Businessman
Professionals
Homemakers
Students


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Natural Language Processing (NLP) in Python

Natural Language Processing (NLP) in Python
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 111 lectures (13h 8m) | Size: 5.5 GB

Learn NLP and Text Mining by creating word vectors and do sentiment analysis using Word2Vec, NLTK and Neural Networks

What you'll learn:
Dealing with Strings in Python
Working with the Natural Language Toolkit Library
Understanding the Intuition behind Word Vectors
Pre-Processing Text for Analytics
Understanding Text Vectorization
Train a Neural Network to generate Word Embeddings
Obtain Text Data from Web Pages
Read Files with Textual Data
Developing a Sentiment Analysis Tool
Train a Machine Learning Model

Requirements
Internet Access
Computer with at least 4 GB of RAM


Description
Have you ever wondered how big companies like Google, Amazon or Facebook work with textual data?

Natural Language Processing is one of the most exciting fields in Data Science and Analytics nowadays. The ability to make a computer understand words and phrases is a technological innovation that brought a huge transformation to tasks such as Information Retrieval, Translation or Text Classification.

In this course we are going to learn the fundamentals of working with Text data in Python and discuss the most important techniques that you should know to start your journey in Natural Language Processing. This course was designed for absolute beginners - meaning that everything regarding NLP that we are going to speak in the course will be explained during the lectures, assuming that the student does not have any prior knowledge in the subject.

Don't worry if you don't know Python code by heart - this course also contains a Python crash course that will help you to get familiar with the language and support the rest of the use cases that we will develop with Python throughout the lectures. In this course we are going to approach the following concepts:

Working with the raw material of Natural Language Processing - strings - in Python;

Tokenizing Sentences and Documents;

Stemming and Lemmatizing words;

Training machine learning models using text;

Extracting the Part-of-Speech Tag from words in a sentence;

Extracting Text Data from a Web Page;

Training a Neural Network to extract Word Embeddings;

Developing your own sentiment classifier (Sentiment Analysis);

Representing Sentences as Tabular Data;

After finishing the course you should able to build your own NLP applications and also understand most of the fundamental concepts that are the base of most NLP algorithms. This will give you the flexibility to study more advanced Natural Language Processing concepts and also enable you to get familiar with the strategies and techniques that most companies have used when they started their NLP applications.

Join me in this exciting NLP journey and I'm looking forward to see you in the course!

Who this course is for
Beginner Python Developers
Experienced Python Developers Interested in learning NLP
Data Engineers
Data Scientists
Business Analysts

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Math Fundamentals | Complete course on Fundamentals of Math

Math Fundamentals | Complete course on Fundamentals of Math
Created by Sandeep Kumar Mathur | Last updated 5/2021
Duration: 6h 32m | 11 sections | 106 lectures | Video: 1280x720, 44 KHz | 8.5 GB
Genre: eLearning | Language: English + Sub

A course on Fundamentals of math that boosts your confidence and inspires you to solve Math problems with an ease.



What you'll learn
Students will learn basic concepts, Formulae and Important results of Basic Math
You will understand solution of selected questions step by step on each topic

Requirements
Basic arithmetic like add, subtract, multiply and divide.

Description
If you find it difficult to remember various concepts of Maths ? If you have a feeling of not being confident in learning Math ? If you facing difficulty in solving Math questions and feel that you need to strengthen your basics? Then you have come to the right place. Throughout the course, emphasis is on learning Mathematics using practice problems.
This course is useful for both beginners as well as for advanced level. Here, this course covers the following areas in details:
Number System
Indices
Percentage
Profit and Loss
Ratio and Proportion
Simple and Compound Interest
Time speed Distance
Mensuration
Each of the above topics has a great explanation of concepts and excellent and selected examples.

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Machine Learning, Deep Learning and Bayesian Learning

Machine Learning, Deep Learning and Bayesian Learning
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 149 lectures (13h 43m) | Size: 8.84 GB

Learn Machine Learning, Deep Learning, Bayesian Learning and Model Deployment in Python.

What you'll learn:
Deep Learning with Tensorflow!!!
Bayesian learning with PyMC3
Data Analysis with Pandas
Algorithms from scratch using Numpy
Using Scikit-learn to its full effect
Model Deployment
Model Diagnostics
Natural Language Processing
Unsupervised Learning
Natual Language Processing with Spacy
Time series modelling with FB Prophet
Python

Requirements
Willingness to learn


Description
This is a course on Machine Learning, Deep Learning (Tensorflow + PyTorch) and Bayesian Learning (yes all 3 topics in one place!!!). Yes BOTH Pytorch and Tensorflow for Deep Learning.

We start off by analysing data using pandas, and implementing some algorithms from scratch using Numpy. These algorithms include linear regression, Classification and Regression Trees (CART), Random Forest and Gradient Boosted Trees.

We start off using TensorFlow for our Deep Learning lessons. This will include Feed Forward Networks, Convolutional Neural Nets (CNNs) and Recurrent Neural Nets (RNNs). For the more advanced Deep Learning lessons we use PyTorch with PyTorch Lightning.

We focus on both the programming and the mathematical/ statistical aspect of this course. This is to ensure that you are ready for those theoretical questions at interviews, while being able to put Machine Learning into solid practice.

Some of the other key areas in Machine Learning that we discuss include, unsupervised learning, time series analysis and Natural Language Processing. Scikit-learn is an essential tool that we use throughout the entire course.

We spend quite a bit of time on feature engineering and making sure our models don't overfit. Diagnosing Machine Learning (and Deep Learning) models by splitting into training and testing as well as looking at the correct metric can make a world of difference.

I would like to highlight that we talk about Machine Learning Deployment, since this is a topic that is rarely talked about. The key to being a good data scientist is having a model that doesn't decay in production.

I hope you enjoy this course and please don't hesitate to contact me for further information.

Who this course is for
Anyone interested in Machine Learning.

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Econometrics A-Z: Explaining Theories, Models and Functions

Econometrics A-Z: Explaining Theories, Models and Functions
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 99 lectures (26h 41m) | Size: 6.13 GB

Hypothesis Testing, Regression, Correlation, Eviews, Predictive and Econometric Modeling, and Descriptive Statistics

What you'll learn:
The linear and non-linear regression models
Time series data, models and autocorrelation
EViews for econometrics
The regression model with several explanatory variable
Probability theory, variables and distributions
Endogeneity and instrumental variables
Binary choice models
Non-stationary time series models, cointegration
Panel data(pooled OLS, random effects and fixed effects models)
Hypothesis testing
Moments of different types of variables
Distributions (Chi-square, T-distribution and F-distribution)
Multicollinearity and forecasting
Heteroscedasticity

Requirements
MS Office desired


Description
In this course, we'll help you understand the key Econometric theories and in particular, give you an intuitive framework to build on. Econometrics can often feel overwhelmingly complicated. This course will not only give you a solid foundation to prepare for your specific university or College's Econometrics exam but apply econometric models in real scenarios.

Over 26 hours of content offers exceptional value by giving you unlimited access to the material and allowing you to pause, rewind, fast forward, and generally review the content to increase retention.

COURSE TOPICS COVERED

Chapter 1- Sample moments and Software: Before we begin this course, we will look at sample moments (numbers you can calculate from a sample) and introduce some econometric software.

Chapter 2 - Least squares principle: This chapter introduces the least squares principle. The basic problem is how to fit a straight line through a scatter plot. We will cover the ordinary least squares (OLS) formula which will provide us with an intercept and a slope. We will the derive the OLS formula from the least squares principle. This chapter focuses on the algebra of least squares. There is no probability theory or statistics in this chapter. Important concepts introduced in this chapter: Trendline, residuals, fitted values and R-squared. In addition to Excel, we will also use demonstrate how to find trendlines using EViews and Stata.

Chapter 3 - Introduction to probability theory: We now know how to fit a straight line through a scatter plot. The next step is to introduce appropriate assumptions on how our data was generated. We will model our data as a random sample. More specifically, we will model our data as drawings from random variables. This idea turns out to be very fruitful. Random variables are concepts in probability theory which this chapter is about. This chapter covers the absolute minimum from probability theory that we need to progress: random variables, distribution functions, expected value, variance, covariance and conditional expectations.

Chapter 4 - The linear regression model with one explanatory variable: This chapter formalizes the most important model in econometrics, the linear regression model. The entire chapter is restricted to a special case, nameley when you have only one explanatory variable. The key assumtion of the linear regression model, exogeneity, is introduced. Then, the OLS formula from chapter 1 is reinterpreted as an estimator of unknown parameters in the linear regression model. This chapter also introduces the variance of the OLS estimator under an important set of assumptions, the Gauss-Markov assumptions.

Chapter 5 - Inference in the linear regression model with one explanatory variable: Inference means something like "a conclusion reached on the basis of evidence and reasoning". We now know how to estimate the parameters of the linear regression model (with one explanatory variable). However, these estimates are uncertain. In this section, we see what conclusions we can draw from all of this. But first, we must investigate a few more distributions (in addition to the normal distribution).

Chapter 6 - The linear regression model with several explanatory variable: In this chapter, we allow for several explanatory variables. We begin by setting up the linear regression with several explanatory variables including the assumptions that we need to make. As in the simpler model with one explanatory variable, the main focus is on estimating the beta-parameters. However, we will no longer be able to present general formulas, such as the OLS formula for our beta-estimates. To do this, we need matrix algebra which is outside the scope of this course. Instead, we rely on the fact that they have been correctly programmed into software such as Excel, EVies, Stata and more. Once we have fully understood the general linera regression model, we move on to inference.

Chapter 7 - Nonlinear and logarithmic regression model: So far, the dependent variable has been modeled as a linear function of the explanatory variables plus an additive error term. In this section, we will look at nonlinear models. First, we look at general non-linear models. Then, we focus on the most important class of non-linear models, logarithmic models.

Chapter 8 - Dummy variables: If all observations belong to one out of two groups, then a dummy variable can be used to encode this information. A dummy variable will take the value zero for all observations belong to one group and one for all the remaining observations belonging to the other group. We can use a dummy variable as an explanatory variable in a linear regression model in the same way that we use an ordinary explanatory variable. Dummy variables can be used even if you have more than two groups.

Chapter 9 - Heteroscedasticity: Heteroscedasticity means that the variance of the error term is different between different observations and this is very common in economics. We begin by looking at tests helping us figuring out if our data is homoscedastic or heteroscedasticity. If we find that we have heteroscedasticity, then the standard errors derived by assuming homoscedasticity are no longer valid. Instead, we can use robust standard errors. Also, with heteroscedasticity OLS is no longer efficient. In this case, the efficient estimator is called the weighted least squares.

Chapter 10 - Endogeneity and instrumental variables: In this chapter we will look at cases when explanatory variables cannot be expected to be exogenous (we then say that they are endogenous). We will also look at the consequence of econometric analysis with endogenous variables. Specifically, we will look at misspecification of our model, errors in variables and the simultaneity problem. When we have endogenous variables, we can sometimes find instruments for them, variables which are correlated with our endogenous variable but not with the error term. This opens for the possibility of consistently estimate the parameters in our model using the instrumental variable estimator and the generalized instrumental variable estimator.

Chapter 11 - Time series models

Chapter 12 - Models based on panel data

Who this course is for
Students
Quantitative and Econometrics Modelers
Equity Research professionals
Economists

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Easy and Fun Art Projects for ****

Easy and Fun Art Projects for ****
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 67 lectures (5h 33m) | Size: 7.34 GB

Simple art projects children can create using everyday objects

What you'll learn:
Art is easy and fun!
Everyone can create art!
Create simple art pieces from common objects.

Requirements
Be ready to have fun with art!


Description
Art should be creative, fun, and confidence building. This video series allows all children to find their artistic capabilities. The series focuses on art projects that children can complete successfully and show off with pride and with new-found skills.

Children will learn they can create art, from finger paints to finger puppets, clay sculptures to watercolor painting. Children will have fun creating art with the Happy and Max characters.

The art projects present seasonal (winter, spring, summer and fall) themes. Children will learn to work with watercolors, finger paints, crayons, tape, scissors, and more.

Children can create most of the art projects in 30 minutes or less--from setup, creations, to clean up.

The series is ideal for parents, teachers, and homeschoolers.

Children will learn to master crayons, paints, scissors, staplers, glue, and much more. The projects use common items found around the home which reduces the things you must do to prepare!

With 67 art activities, there's plenty to create and learn. The Happy & Max characters are present throughout the videos learning and having fun along with the budding artists.

The video series is ideal for beginning artist -- from preschool through sixth grade.

Art can be easy, fun, and inexpensive. Now is a great time to start.

Please note: The videos are appropriate for children to view and follow as they construct their art. That said, the content is intended to be used by teachers, parents, or guardians who oversee and guide the child's learning. Under Udemy policies: those under 18 may use the services only if a parent or guardian opens their account, handles any enrollments, and manages their account usage.

Who this course is for
Parents and Teachers of Preschool through 6th grade artists

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Cucumber BDD with Python 3 Behave and Selenium WebDriver

Cucumber BDD with Python 3 Behave and Selenium WebDriver
MP4 | Video: h264, 1280x720 | Audio: AAC, 44100 Hz
Language: English | Size: 9.48 GB | Duration: 19h 8m



What you'll learn
You will be able to create Cucumber BDD testing framework using Python, Behave, Selenium WebDriver, ....
You will be able to read and write Cucumber BDD style tests in Python
You will be able to work on Cucumber BDD Framework supporting both Frontend with BDD Selenium and Backend with pure BDD Python
You will create full E-Commerce site on your computer and practice test automation
BONUS: SQL Crash Course (MySQL). You will learn how to work with MySQL database
You will learn tips and tricks of finding elements, debugging issues, shortcuts with IDE, test methodologies, setup py file
You will be able to use virtual environment and try different versions of Python libraries

Requirements
Understand basic Python (Python 3 or 2 is fine)
Understand Automated testing basics
Have access to install libraries on the computer you are going to use


Description
Course Description

Learn how Cucumber BDD (Behavioral Driven Development/Test Driven Development) testing frameworks work. Learn how the pieces of Cucumber fall together and how frameworks are put together, as well as best practices of BDD. We will use the most popular and actively maintained Cucumber framework for Python BDD called 'Behave'. We will use PowerPoint presentation to convey the concepts on each topic and then write example code testing real scenarios with Selenium WebDriver as well as API testing.

We will build an E-commerce site on our local machine and practice writing real test cases both for front end with Selenium WebDriver and for the backend with Python, with full access to MySQL database of our site.

Critical addition to your resume

If you are getting into the QA world or you are looking to advance your career, having BDD testing skill will accelerate your success. Python is one of the most popular languages to use in software testing, and knowing how to use it with BDD style testing will expand your pool of possibilities.

In addition to using Python for BDD testing you will also get tips and guidance on best practices.

After completion of this course you will be able to go through interview as if you have BDD testing experience. You will also have a ready to go framework that you can continue to add test cases for practice and for your portfolio.

Content and Overview

In this course we will be using PowerPoint presentation to explain the concepts and then go to code in an IDE (PyCharm) for each topic. Some topics, we will go directly to code and start writing and executing.

We will install necessary packages for our framework. We will discuss the directory structure needed for our design, and then we will write and run test cases.

We will run how the BDD tests are written, how the work together and how to understand and control the output.

We will create an efficiently structured test framework and learn how to use Pythons logging module to produce readable reports.

What am I going to get from this course?

49 + lectures of BDD core concepts, examples and practice exercises (continuously adding more examples)

Plenty of test cases to use in your portfolio and to build bigger test suits on top of the course material

Enough material and examples to be able to create a project (BDD test framework) and maintain a GitHub repo

Specific features of the most popular BDD framework for Python called Behave

Practice using Selenium WebDriver functions with Python

Practice testing of Front-end with Selenium WebDriver BDD and Python

Practice testing of Back-end with Python


Who this course is for:
Anyone looking to learn automation testing and has a bit of background in Python and Selenium WebDriver
Anyone that already know basic automated testing and want to know how to apply BDD
Anyone coming from Java or other background and can pickup Python easily


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2021 Complete Investing Bootcamp from Zero to Hero

2021 Complete Investing Bootcamp from Zero to Hero
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 7.72 GB | Duration: 20h 19m

Learn how to Invest like a Professional - Start from the basics and go all the way to trading Stock Options & Cryptos


What you'll learn
How to think about your personal finances like a Hedge Fund Manager.
Build a balance sheet of your personal wealth and net worth in Google Sheets. Learn how to update it over time and see how it is growing and why.
Learn why today's financial advice for individuals does not work and how sophisticated investors manage their personal finances.
Learn about different types of investments (asset classes) and their role in a balanced portfolio.
Develop an understanding on how to pick the proper ETFs to use in your portfolio and why.
Learn about Returns, Risk and Diversification like an Investment Professional.
Calculate Historical Returns and Volatilities in Google Sheets with freely available data for any ETF you are interested in adding to your portfolio.
Learn how Modern Portfolio Theory works and build a 60/40 Asset Allocation model in Google Sheets.
Learn how Risk Parity works, why it is a better approach for a balanced portfolio.
Build step by step a Risk Parity portfolio in Google Sheets.
Trade your own Risk Parity portfolio in a simulated environment.
Learn about Stock Options! How they work and how they can be used to achieve leverage in your Risk Parity portfolio.
Really Invest like a professional , by adding leverage to your Risk Parity portfolio by using Stock Options.
Step by step practical walkthrough on how to trade Stock Options in a simulated environment.
Understand how taxes can impact your returns and how to harvest your losses year over year.
Bonus Material: Cryptocurrencies! Learn how to add Crypto to your balanced portfolio and how to farm attractive yields in a 0% interest rate environment.


Description
We will cover a lot in this course. It might come across a little bit overwhelming, but do not worry we will take our time in each topic to make sure it will sink in and before you know it you will be confidently picking your own ETFs, building an investment portfolio and trading.

We will start by building together a balance sheet of your own personal wealth. This is how you will learn how much you are worth and how that is changing over time.

We will then talk about why you should invest and how much of your personal wealth you should consider investing.

We will then talk about what you can invest your money in. And walk through each individual liquid asset class (including Nominal Bonds, Inflation-Linked Bonds, Equities/Stocks, REITs and Commodities) how it works, what is its role in a portfolio and what type of risks you incur in investing in it. I will show you how to research ETFs and what to look for when picking an ETF. As well as examples for each Asset Class.

From that we will move on to talk about risk, return and diversification. Why it is important to buy and hold investments, vs actively trading and why you should try to get exposure to an Asset Class through an Index fund instead of individual securities, for example stocks.

We will talk about the traditional way of Investing for Retail Investors, the 60/40 asset allocation model. We will build a simple version of that.

Next we'll talk about another approach to investing, a more balanced one called risk parity. We will build a risk parity model portfolio together. We will build rebalancing logic, so that you can re-use this model over time with your own personal investments. We will trade together the ETFs, I will show you how to do that. We will talk about Leverage, what it is, why it can be good for your portfolio and how to use derivatives to achieve leverage. We will build together a Risk Parity portfolio that uses leverage through Stock Options. I will show you how to trade Stock Options to achieve leverage in your portfolio.

We will talk about Tax Implications of ETF investing and how to harvest tax losses at the end of year. Last we will enter the world of Cryptocurrencies. I will show you how I think about this new and exciting world, what could be their role in a balanced portfolio and how to farm yield with them.


Who this course is for:
Anyone interested in Investing responsibly their personal savings.


Homepage

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The Complete Artificial Intelligence for Cyber Security 2021

The Complete Artificial Intelligence for Cyber Security 2021
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 6.07 GB | Duration: 15h 21m

Combine the power of Data Science, Machine Learning and Deep Learning to create powerful AI for Real-World applications


What you'll learn
Isolation Forest
Markov Chains
Statsmodels
NLP (Natural Language Processing)
Linear Regression
Logistic Regression
Naïve Bayes
ANN (Artificial Intelligence)
Random Forest
K-means
HMM
Eigenfaces and Eigenvalues
SVM (Support Vector Machine)
XGBOOST
Pandas
Numpy
matplotlib
IF-IDF
Tensorflow
Scikit-Learn
Cyber security
Google Colab
Data Pre-processing.
Analysing Data.
Data standardization.
Splitting Data into Training Set and Test Set.
One-hot Encoding.
Understanding Machine Learning Algorithm.
Training Neural Network.
Model building.
Analysing Results.
Model compilation.
A Comparison Of Categorical And Binary Problem.
Make a Prediction.
Testing Accuracy.
Confusion Matrix.
Keras.


Description
*** AS SEEN ON KICKSTARTER ***

Learn key AI concepts and intuition training to get you quickly up to speed with all things AI. Covering:

How to start building AI with no previous coding experience using Python.

How to solve AI problems in cyber security field.

Here is what you will get with this course:

1. Complete beginner to expert AI skills - Learn to code self-improving AI for a range of purposes. In fact, I will code together with you. Every tutorial starts with a blank page and we write up the code from scratch. This way you can follow along and understand exactly how the code comes together and what each line means.

2. Coding step- Plus, you'll get a template which shows all the steps and all detailed explanations on each step.

3. Intuition Tutorials - Where most courses simply bombard you with dense theory and set you on your way, you will develop a deep understanding for not only what you're doing, but why you're doing it. That's why I don't throw complex theories at you, but focus on building up your intuition in coding AI making for infinitely better results down the line.

4. Real-world solutions - You'll achieve your goal in not only 1 project but in more than 10. Each module is comprised of varying structures and difficulties, meaning you'll be skilled enough to build AI adaptable to any projects in real life, rather than just passing a glorified memory "test and forget" like most other courses. Practice truly does make perfect.

5. In-course support - I fully committed to making this the most accessible and results-driven AI course on the planet. This requires me to be there when you need my help. That's why I will support you in your journey, meaning you'll get a response from me within 72 hours maximum.


Who this course is for:
Anyone interested in Artificial Intelligence, Machine Learning or Deep Learning in Cyber Security
Any people who are not satisfied with their job and who want to become a Data Scientist.
Any data analysts who want to level up in Machine Learning, Deep Learning and Artificial Intelligence.
Any people who are not that comfortable with coding but who are interested in Machine Learning, Deep Learning, Artificial Intelligence and want to apply it easily on datasets.
Any students in college who want to start a career in Data Science.
Anyone passionate about Artificial Intelligence.
Data Scientists who want to take their AI Skills to the next level.
AI experts who want to expand on the field of applications.
Any people who want to create added value to their business by using powerful Machine Learning, Artificial Intelligence and Deep Learning tools. Any people who want to work in a Car company as a Data Scientist, Machine Learning, Deep Learning and Artificial Intelligence engineer.
Any people who are not satisfied with their job and who want to become a Data Scientist.

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Qlik Sense Certification - The Complete Practical Course

Qlik Sense Certification - The Complete Practical Course
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 356 lectures (33h 28m) | Size: 18.1 GB

Learn to develop Qlik Sense, be ready to take QSDA/QSBA certification exams - all in one comprehensive hands on course.

What you'll learn:
Begin with the Data Manager to load & shape data in our first app
Understand associative model concepts
Create sheets with charts, tables and KPIs
Understand the 4 application tier types
Alternate states for comparative analysis
Star and Snowflake schema types
How to build data models based on user requirements
Load data from different data source types
Understand Joins, IntervalMatch, Crosstable , FirstSortedOrder ,Rank
Incremental loads with sub routines for flow control
Slowly Changing Dimensions
Validate the data using different techniques
Create technical requirements and design sheet layout
(E) & (P) functions inside set analysis
The power of canonical calendars and their use
Geo Analytics with switchable metrics
Master Items e.g. Measures, Dimensions & Visualisations
Security e.g. Data Reduction
Mashups and data story telling
Migrate QlikView documents to Qlik Sense
Set Analysis - Simple to complex including date range expressions
Development using the D A R concept , common in enterprise solutions
Use the Qlik Sense visualisation bundle features
Understand the theory behind the scenes to fully appreciate Qlik Sense , explained in vivid detail
Code pre-aggregations and flags in your load script
Write efficient data load scripts
So much more is covered in this course beyond what is included in this list
Practice with assignment exercises to refine your skills
All recorded in HD 1080p with zoom in on code so you don't miss a thing

Requirements
QlikSense is a Windows based architecture hence a Windows PC is required (or use a VM/Docker running windows on a Mac)
All software and data downloads are provided for this course
Basic understanding of Excel and formula creation such as functions like Sum()
Basic understanding of SQL concepts (Although you are guided through this in the data load scripts we code)
Basic understanding of data (e.g. Data Types, Files, Database concepts)


Description
In this course I will guide and instruct you in real world Qlik Sense data analytics project development that will boost your skills and confidence to go for that job or promotion you really want or take on the certification exams. Either way you are guaranteed to learn more in this course than any other Qlik Sense course that is currently available anywhere.

This is the only course you need to become expert in developing Qlik Sense apps that will prepare you to take the Qlik Sense Data Architect (QSDA) and Business Analyst (QSBA) certifications !

"More than 50k organisations in more than 100 countries around the world depend on Qlik to help them drive smarter, faster decisions every day."

With Qlik Sense being so popular (used by > 50,000 companies) in the data analytics and data science world the time is right for you to get on board and become highly proficient and employable in this rapidly expanding world of business intelligence , data analytics and data science.

It's not just medium to large corporations deploying web and mobile apps for data analysis and data science outcomes; but also large government organisations & educational institutions world wide.

You can view the Qlik customer listing on their site and it's impressive! Can you picture yourself working for one of those companies ?

FAQ .

What if I don't want to do a certification right now?

No problem, this course is highly detailed so you will still become very competent in the development of Qlik Sense apps.

Can I learn at my own pace as my time is limited ?

You sure can as you have life time access 24/7 ! Just study to your schedule.

I've never used Qlik Sense will this course be too hard for me ?

If you like a challenge and follow the lectures carefully , code along then you will get to know Qlik Sense quickly and at your pace of learning.

What if the course is not for me ?

No problem ! You can get your money back with the Udemy 30 day refund offer - it's a win win proposition.

So what are your waiting for ?

Take action , sign up and invest in your self and your future !

Who this course is for
Desire to improve your career and salary potential
New to Qlik Sense and want to build robust , professional Qlik Sense apps
Looking to get certified and require economical and effective guidance in the Qlik Sense architecture & development space
Existing Qlik Sense developers looking to refresh their knowledge and get certified
Migrate your skills from QlikView to Qlik Sense
Done with other BI products not delivering and you want to switch to a platform used by over 50,000 companies globally
Desire to go beyond average to highly skilled and knowledgeable professional

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