Modules

jQuery & JavaScript Basics

Course Duration: 5 hrs

In this jQuery & JavaScript Basics online training series, you will learn the basics of programming JavaScript™ and using jQuery which we’ve broken down into 2 sections.

jQuery Mobile

Course Duration: 1.5 hrs

With this jQuery Mobile training course, learn the options for local or remote file hosting, creating custom themes for your pages, how to navigate and transition between pages, and much more!

Deep Learning & Computer Vision: An Introduction

Course Duration: 2 hrs

Deep Learning & Computer Vision: an Introduction is the perfect course for students who want exposure to Machine Learning. This course will cover topics such as: Artificial Neural Networks, how to install Python, and Handwritten Digit Recognition.

Recommendation Systems in Python

Course Duration: 4.5 hrs

Recommendation Engines perform a variety of tasks, but the most important one is to find products that are most relevant to the user. Follow along with this intensive Recommendation Systems in Python training course to get a firm grasp on this essential Machine Learning component.

Machine Learning – Decision Trees & Random Forests

Course Duration: 4.5 hrs

This Machine Learning: Decision Trees & Random Forests online course will teach you cool machine learning techniques to predict survival probabilities aboard the Titanic – a Kaggle problem!

Twitter Sentiment Analysis in Python

Course Duration: 3.5 hrs

Sentiment Analysis, or Opinion Mining, is a field of Neuro-linguistic Programming that deals with extracting subjective information, like positive/negative, like/dislike, and emotional reactions.In this “Twitter Sentiment Analysis in Python” online course, you’ll learn real examples of why Sentiment Analysis is important and how to approach specific problems using Sentiment Analysis

Factor Analysis with Excel, R and Python

Course Duration: 1.45 hrs

Our ’Factor Analysis’ e-Learning course will help you to understand Factor Analysis and its link to linear regression. See how Principal Components Analysis is a cookie cutter technique to solve factor extraction and how it relates to Machine Learning. Supplemental Materials included!

Linear & Logistic Regression with Excel, R and Python

Course Duration: 5 hrs

Our ’Linear & Logistic Regression’ e-Learning course will teach you how to build robust linear models and do logistic regressions in Excel, R, and Python that will be automatically applicable in real world situations.

Quant Trading Using Machine Learning

Course Duration: 11 hrs

This ’Quant Trading Using Machine Learning’ online training course takes a completely practical approach to applying Machine Learning techniques to Quant Trading. The focus is on practically applying ML techniques to develop sophisticated Quant Trading models. From setting up your own historical price database in MySQL, to writing hundreds of lines of Python code, the focus is on doing from the get-go.

Apache Storm: Learn by Example

Course Duration: 4 hrs

In this ’Apache Storm: Learn by Example’ online course, you will learn how to use Storm to build applications which need you to be highly responsive to the latest data, and react within seconds and minutes, such as finding the latest trending topics on Twitter, or monitoring spikes in payment gateway failures.

SQL Server Development

Course Duration: 8.5 hrs

Learn SQL Server 2005 basics, best practices, dozens of targeted examples, and sample code. If you design or develop SQL Server 2005 databases, this video series is what you need to succeed!

C++ Primer

Course Duration: 1 hr

With this C++ Primer training course, presenter Wade Ashby gets you started with setting up an environment and then guides you through defining Variables and Constants. Next, Wade delves into topics such as Loops, Arrays, Strings, and more!