Ace with Machine Learning, Data Science, Deep Learning, Artificial Intelligence career

Interested in the field of Machine Learning? Then this courses are for you!

These course has been designed by professional Data Scientists so that they can share there knowledge and help you learn complex theory, algorithms and coding libraries in a simple way.

We will walk you step-by-step into the World of Machine Learning. With every tutorial you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.

1.Machine Learning A-Z™: Hands-On Python & R In Data

Science

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

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

with no previous coding experience using Python How to merge AI with OpenAI Gym to learn as effectively as possible

to learn as effectively as possible How to optimize your AI to reach its maximum potential in the real world

Includes:

16.5 hours on-demand video 15 Articles Full lifetime access Access on mobile and TV

Certificate of Completion What Will I Learn?

Master Machine Learning on Python & R

Have a great intuition of many Machine Learning models

Make accurate predictions

Make powerful analysis

Make robust Machine Learning models

Create strong added value to your business

Use Machine Learning for personal purpose

Handle specific topics like Reinforcement Learning, NLP and Deep Learning

Handle advanced techniques like Dimensionality Reduction

Know which Machine Learning model to choose for each type of problem

Build an army of powerful Machine Learning models and know how to combine them to solve any problem

2.A-Z Machine Learning using Azure Machine Learning

(AzureML)

Hands on AzureML: From Azure Machine Learning Introduction to Advance Machine Learning Algorithms. No Coding Required.

Azure Machine Learning (AzureML) is considered as a game changer. Azure Machine Learning Studio is a great tool to learn to build advance models without writing a single line of code using simple drag and drop functionality.

The course is very hands on and you will be able to develop your own advance models using

Logistic Regression

Decision Trees

Linear Regression

SVM

and many more

Includes: 7.5 hours on-demand video 18 Supplemental Resources Full lifetime access Access on mobile and TV

Certificate of Completion

Topic Explained:

What is Machine Learning and some real world examples.

Azure Machine Learning Introduction

Provide an overview of Azure Machine Learning Studio and high level architecture.

We would also look at

Steps for building an ML model.

Supervised and Unsupervised learning

Understanding the data and pre-processing

Different model types as well as

The AzureML Cheat Sheet.

How to use Classification and Regression

What is clustering or cluster analysis

Recommendation system using one of the most powerful recommender of AzureML

What Will I Learn? Master Machine Learning Models using Azure ML. Understand the concepts and intuition of Machine Learning models Build Machine Learning models within minutes Choose the correct Machine Learning Algorithm using the cheatsheet Deploy production grade Machine Learning models Use Machine Learning in the simplest form possible, using excel Bring in great value to business you manage



3.Careers in Data Science A-Z™

How to Become a Top Level Data Scientist – Learn What to Expect, How to be Prepared, How to Stand Out and More…

the basic steps on how to become a Data Scientist

How to take their Data Science career to the next level

Hacks, tips & tricks for their Data Science career

Includes: 3.5 hours on-demand video 8 Supplemental Resources Full lifetime access Access on mobile and TV

Certificate of Completion

Becoming a Data Scientist might be on your mind right now.

Named the “Sexiest Job of the 21st Century”, this career seems like a great idea not only due to its high demand, but lack of supply of skilled proffesionals.

But the million dollar question is: What makes the difference between Top Level Data Scientist and just another one from the bunch?

What Will I Learn?

The basic steps on how to become a Data Scientist

How to take their Data Science career to the next level

Hacks, tips & tricks for their Data Science career

4.Deep Learning A-Z™: Hands-On Artificial Neural Networks

Learn to create Deep Learning Algorithms in Python from two Machine Learning & Data Science experts. Templates included.

Artificial intelligence is growing exponentially. There is no doubt about that. Self-driving cars are clocking up millions of miles, IBM Watson is diagnosing patients better than armies of doctors and Google Deepmind’s AlphaGo beat the World champion at Go – a game where intuition plays a key role.

But the further AI advances, the more complex become the problems it needs to solve. And only Deep Learning can solve such complex problems and that’s why it’s at the heart of Artificial intelligence

Includes: 23 hours on-demand video 22 Articles Full lifetime access Access on mobile and TV

Certificate of Completion EXCITING PROJECTS

Are you tired of courses based on over-used, outdated data sets?

Yes? Well then you’re in for a treat.

Inside this class we will work on Real-World datasets, to solve Real-World business problems. (Definitely not the boring iris or digit classification datasets that we see in every course). In this course we will solve six real-world challenges:

Artificial Neural Networks to solve a Customer Churn problem

Convolutional Neural Networks for Image Recognition

Recurrent Neural Networks to predict Stock Prices

Self-Organizing Maps to investigate Fraud

Boltzmann Machines to create a Recomender System

Stacked Autoencoders* to take on the challenge for the Netflix $1 Million prize

*Stacked Autoencoders is a brand new technique in Deep Learning which didn’t even exist a couple of years ago. We haven’t seen this method explained anywhere else in sufficient depth.

What Will I Learn?

Understand the intuition behind Artificial Neural Networks

Apply Artificial Neural Networks in practice

Understand the intuition behind Convolutional Neural Networks

Apply Convolutional Neural Networks in practice

Understand the intuition behind Recurrent Neural Networks

Apply Recurrent Neural Networks in practice

Understand the intuition behind Self-Organizing Maps

Apply Self-Organizing Maps in practice

Understand the intuition behind Boltzmann Machines

Apply Boltzmann Machines in practice

Understand the intuition behind AutoEncoders

Apply AutoEncoders in practice

5.Python A-Z™: Python For Data Science With Real Exercises!

Programming In Python For Data Analytics And Data Science. Learn Statistical Analysis, Data Mining And Visualization

Includes: 11 hours on-demand video 1 Article Full lifetime access Access on mobile and TV

Certificate of Completion

Learn Python Programming by doing!

There are lots of Python courses and lectures out there. However, Python has a very steep learning curve and students often get overwhelmed. This course is different!This course is truly step-by-step. In every new tutorial we build on what had already learned and move one extra step forward.After every video you learn a new valuable concept that you can apply right away. And the best part is that you learn through live examples.

What Will I Learn?

Learn to program in Python at a good level

Learn how to code in Jupiter Notebooks

Learn the core principles of programming

Learn how to create variables

Learn about integer, float, logical, string and other types in Python

Learn how to create a while() loop and a for() loop in Python

Learn how to install packages in Python

Understand the Law of Large Numbers

6.R Programming A-Z™: R For Data Science With Real

Exercises!

Learn Programming In R And R Studio. Data Analytics, Data Science, Statistical Analysis, Packages, Functions, GGPlot2

Includes: 10.5 hours on-demand video 2 Articles Full lifetime access Access on mobile and TV

Certificate of Completion

Learn R Programming by doing!

There are lots of R courses and lectures out there. However, R has a very steep learning curve and students often get overwhelmed. This course is different!This course is truly step-by-step. In every new tutorial we build on what had already learned and move one extra step forward.After every video you learn a new valuable concept that you can apply right away. And the best part is that you learn through live examples.This training is packed with real-life analytical challenges which you will learn to solve. Some of these we will solve together, some you will have as homework exercises.

What Will I Learn?

Learn to program in R at a good level

Learn how to use R Studio

Learn the core principles of programming

Learn how to create vectors in R

Learn how to create variables

Learn about integer, double, logical, character and other types in R

Learn how to create a while() loop and a for() loop in R

Learn how to build and use matrices in R

Learn the matrix() function, learn rbind() and cbind()

Learn how to install packages in R

Learn how to customize R studio to suit your preferences

Understand the Law of Large Numbers

Understand the Normal distribution

Practice working with statistical data in R

Practice working with financial data in R

Practice working with sports data in R

7.Artificial Intelligence A-Z™: Learn How To Build An AI

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

Includes: 16.5 hours on-demand video 15 Articles Full lifetime access Access on mobile and TV

Certificate of Completion

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

with no previous coding experience using Python How to merge AI with OpenAI Gym to learn as effectively as possible

to learn as effectively as possible How to optimize your AI to reach its maximum potential in the real world

What Will We Learn?

Build an AI

Understand the theory behind Artificial Intelligence

Make a virtual Self Driving Car

Make an AI to beat games

Solve Real World Problems with AI

Master the State of the Art AI models

Q-Learning

Deep Q-Learning

Deep Convolutional Q-Learning

A3C

8.Statistics for Business Analytics A-Z™

Learn The Core Stats For A Data Science Career. Master Statistical Significance, Confidence Intervals And Much More!

Includes: 7 hours on-demand video 1 Article Full lifetime access Access on mobile and TV

Certificate of Completion If you are aiming for a career as a Data Scientist or Business Analyst then brushing up on your statistics skills is something you need to do.But it’s just hard to get started… Learning / re-learning ALL of stats just seems like a daunting task.That’s exactly why I have created this course!Here you will quickly get the absolutely essential stats knowledge for a Data Scientist or Analyst.This is not just another boring course on stats. This course is very practical.

What Will I Learn?

Understand what a Normal Distribution is

Understand standard deviations

Explain the difference between continuous and discrete variables

Understand what a sampling distribution is

Understand the Central Limit Theorem

Apply the Central Limit Theorem in practice

Apply Hypothesis Testing for Means

Apply Hypothesis Testing for Proportions

Use the Z-Score and Z-Tables

Use the t-Score and t-Tables

Understand the difference between a normal distribution and a t-distribution

Understand and apply statistical significance

Create confidence intervals

Understand the potential pitfalls of overusing p-Values

9.Data Science A-Z™: Real-Life Data Science Exercises

Included

Learn Data Science step by step through real Analytics examples. Data Mining, Modeling, Tableau Visualization and more!

Includes: 21 hours on-demand video 3 Articles Full lifetime access Access on mobile and TV Certificate of Completion

This course will give you a full overview of the Data Science journey. Upon completing this course you will know:

How to clean and prepare your data for analysis

How to perform basic visualisation of your data

How to model your data

How to curve-fit your data

And finally, how to present your findings and wow the audience

What Will I Learn?

Successfully perform all steps in a complex Data Science project

Create Basic Tableau Visualisations

Perform Data Mining in Tableau

Understand how to apply the Chi-Squared statistical test

Apply Ordinary Least Squares method to Create Linear Regressions

Assess R-Squared for all types of models

Assess the Adjusted R-Squared for all types of models

Create a Simple Linear Regression (SLR)

Create a Multiple Linear Regression (MLR)

Create Dummy Variables

Interpret coefficients of an MLR

Read statistical software output for created models

Use Backward Elimination, Forward Selection, and Bidirectional Elimination methods to create statistical models

Create a Logistic Regression

Intuitively understand a Logistic Regression

Operate with False Positives and False Negatives and know the difference

Read a Confusion Matrix

Create a Robust Geodemographic Segmentation Model

Transform independent variables for modelling purposes

Derive new independent variables for modelling purposes

Check for multicollinearity using VIF and the correlation matrix

Understand the intuition of multicollinearity

Apply the Cumulative Accuracy Profile (CAP) to assess models

Build the CAP curve in Excel

Use Training and Test data to build robust models

Derive insights from the CAP curve

Understand the Odds Ratio

Derive business insights from the coefficients of a logistic regression

Understand what model deterioration actually looks like

Apply three levels of model maintenance to prevent model deterioration

Install and navigate SQL Server

Install and navigate Microsoft Visual Studio Shell

Clean data and look for anomalies

Use SQL Server Integration Services (SSIS) to upload data into a database

Create Conditional Splits in SSIS

Deal with Text Qualifier errors in RAW data

Create Scripts in SQL

Apply SQL to Data Science projects

Create stored procedures in SQL

Present Data Science projects to stakeholders

10.Tableau 10 A-Z: Hands-On Tableau Training For Data

Science!

Learn Tableau 10 for Data Science step-by-step. Real-Life Data Analytics Exercises & Quizzes Included. Learn by doing!

Includes: 7.5 hours on-demand video 2 Articles Full lifetime access Access on mobile and TV

Certificate of Completion

Use Tableau to Analyze and Visualize Data So You Can Respond Accordingly

Connect Tableau to a Variety of Datasets

Analyze, Blend, Join, and Calculate Data

Visualize Data in the Form of Various Charts, Plots, and Maps

What Will I Learn?

Install Tableau Desktop 10

Connect Tableau to various Datasets: Excel and CSV files

Create Barcharts

Create Area Charts

Create Maps

Create Scatterplots

Create Piecharts

Create Treemaps

Create Interactive Dashboards

Create Storylines

Understand Types of Joins and how they work

Work with Data Blending in Tableau

Create Table Calculations

Work with Parameters

Create Dual Axis Charts

Create Calculated Fields

Create Calculated Fields in a Blend

Export Results from Tableau into Powerpoint, Word, and other software

Work with Timeseries Data (two methods)

Creating Data Extracts in Tableau

Understand Aggregation, Granularity, and Level of Detail

Adding Filters and Quick Filters

Create Data Hierarchies

Adding Actions to Dashboards (filters & highlighting)

Assigning Geographical Roles to Data Elements

Advanced Data Preparation (including latest updates in Tableau 9)

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