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Georgia Institute of Technology

Introduction to Analytics Modeling

Georgia Institute of Technology via edX


Analytical models are key to understanding data, generating predictions, and making business decisions. Without models it’s nearly impossible to gain insights from data. In modeling, it’s essential to understand how to choose the right data sets, algorithms, techniques and formats to solve a particular business problem.

In this course, part of the Analytics: Essential Tools and Methods MicroMasters program, you’ll gain an intuitive understanding of fundamental models and methods of analytics and practice how to implement them using common industry tools like R.

You’ll learn about analytics modeling and how to choose the right approach from among the wide range of options in your toolbox.

You will learn how to use statistical models and machine learning as well as models for:

  • classification;
  • clustering;
  • change detection;
  • data smoothing;
  • validation;
  • prediction;
  • optimization;
  • experimentation;
  • decision making.

Taught by

Joel Sokol


4.4 rating, based on 5 Class Central reviews

4.6 rating at edX based on 5 ratings

Start your review of Introduction to Analytics Modeling

  • I am about to complete the course as a verified learner, i found the course content to be very good and very well spread out. Thumb's up- ->The details covered are very structured and well articulated,sometimes even some small tips from Prof Joel…
  • Profile image for Luis A Rodriguez
    Luis A Rodriguez
    Fantastic course! It was pretty challenging, it's an introductory course in that the professor touches on many different topics to give you a feel for the techniques needed to solve many types of problems, and the common terms and tools used. For…
  • Spalthoff Daniel
    I just finished this course as a verified learner. The content is excellent (5 stars), but for two reasons my overall evaluation of the course is a 4 stars: This is the first time this course is offered via edX, and there were many technical glitch…
  • Ashok Kumar
    I found this course to be very well executed. While there were some technical difficulties at times but they were easily compensated by the ever responsive TAs, messaging board, office-hours etc. The course does a great job of covering a lot of to…
  • Very interesting for somebody new to statistics and R programmering like me. Nice teaching, homework is quite tough.. overall very good experience!

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