Total Training is excited to announce the release of our new Machine Learning, Data Science & Programming training courses!

These courses will immerse you in the fields of Machine Learning, Artificial Intelligence, Data Science, Programming, and Analytics by teaching you the skills used to master both theory and practice. Learn how to install Python, and then use it to perform sentiment analysis, build a recommendation system, and so much more.  With over 60 hours of expert instruction, by the time you’ve completed these courses, you’ll have a firm grasp of core machine learning concepts and be on your way to applying this essential technology in your career.

Read on to learn what the courses will cover, who the courses are for, and what’s included…

Currently Available:

• Machine Learning – Decision Trees & Random Forests
• Machine Learning – Deep Learning & Computer Vision: An Introduction
• Machine Learning – Factor Analysis
• Machine Learning – Linear & Logistic Regression
• Machine Learning – Python Programming: From Beginner to Intermediate
• Machine Learning – Quant Trading
• Machine Learning – Recommendation Systems in Python
• Machine Learning – Twitter Sentiment Analysis in Python
• Machine Learning – Apache Storm: Learn by Example
• jQuery Training
• HTML, CSS with JavaScript

Who are these courses for?

• Machine Learning and Language Processing folks looking to apply concepts in a full-fledged programming language
• Computer Science students or software engineers with no experience in Java, but experience in Python, C++ or even C#.
• Analytics professionals, modelers, big data professionals who haven’t had exposure to machine learning
• Engineers who want to understand or learn machine learning and apply it to problems they are solving
• Product managers who want to have intelligent conversations with data scientists and engineers about machine learning
• Tech executives and investors who are interested in big data, machine learning or natural language processing
• MBA graduates or business professionals who are looking to move to a heavily quantitative role
• Data analysts who want to move from summarizing data to explaining and prediction
• Folks aspiring to be data scientists
• Any business professionals who want to apply Factor analysis and Linear regression to solve relevant problems
• Quant traders who have not used Machine learning techniques before to develop trading strategies
• Analytics professionals, modelers, big data professionals who want to get hands-on experience with Machine Learning
• Anyone who is interested in Machine Learning and wants to learn through a practical, project-based approach
• Product managers who want to have intelligent conversations with data scientists and engineers about machine learning
• Engineers looking to set up end-to-end data processing pipelines that react to changes in real time
• Folks familiar with Batch processing technologies like Hadoop who want to learn more about Stream processing
• Web developers looking to simplify their coding workflow
• Anyone interested in getting started with HTML, CSS, or JavaScript coding language.

What am I going to get from these courses?

• Over 70 hours of online video training from top experts in their fields
• Project files and additional material to supplement the video training
• Learn to program with Python
• Learn data manipulation, spreadsheet auto-generation, & text processing
• Design & Implement a sentiment analysis measurement system
• Grasp the theory underlying sentiment analysis, and its relation to binary classification
• Identify use-cases for recommendation systems
• Learn how to use Scipy and Numpy
• Develop Quant Trading models using advanced Machine Learning techniques
• Build an end-to-end application from data collection and preparation to model selection
• Build robust linear models that stand up to scrutiny in Excel, R and Python
• Understand the risks involved in regression and avoid common pitfalls
• Use Principal Components Analysis to Extract Factors
• Design & Implement a simple computer vision use-case: digit recognition
• Grasp the theory underlying deep learning and computer vision
• Identify the use-cases for Decision Trees as well as Random Forests
• Build a Storm Topology for processing data
• Perform complex transformations using Trident
• Apply Machine Learning algorithms on the fly in Storm applications
• Use jQuery to add styles, animations, Ajax support & more to websites
• Build your own stateless & stateful custom plugins in jQuery
• Work w/ the jQuery UI library including the theme roller
• Understand HTML – its structure, and the commonly used tags
• Utilize CSS, including inheritance, selectors, the box model – the very topics that make CSS hard to use
• And so much more!

How Can I Get These Courses?

These courses are available as single title purchases, or as part of the Total Training All-Access Library.

If you are a current All-Access subscriber, these courses are automatically added to your Library as they are released!

Sign up for the Total Training newsletter and follow us on social media to receive each course announcement!

About the Presenters:

Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi, and Navdeep Singh have honed their tech expertise at Google and Flipkart. Together, they have created dozens of training courses and are excited to be sharing their content with eager students. The team believes it has distilled the instruction of complicated tech concepts into enjoyable, practical, and engaging courses.

Janani: 7 years at Google (New York, Singapore); Studied at Stanford; also worked at Flipkart and Microsoft

Vitthal: Also Google (Singapore) and studied at Stanford; Flipkart, Credit Suisse and INSEAD too

Swetha: Early Flipkart employee, IIM Ahmedabad and IIT Madras alum

Navdeep: Longtime Flipkart employee too, and IIT Guwahati alum

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updated March 5, 2018