Introduction to Analytics Modeling
The Georgia Institute of Technology
Edx
date_range Starts on August 19, 2019
event_note End date December 21, 2019
list 16 sequences
assignment Level : Advanced
chat_bubble_outline Language : English
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Key information

credit_card Free access
verified_user Fee-based Certificate
timer 128 hours in total

About the content

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.

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Prerequisite

  • Probability and statistics
  • Basic programming proficiency
  • Linear algebra
  • Basic calculus

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Syllabus

  • Fundamental analytics models and methods
  • How to use analytics software, including R, to implement various types of models
  • Understanding of when to apply specific analytics models 
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Intructors

Joel Sokol
Director of the Master of Science in Analytics program
Georgia Institute of Technology

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Content designer

The Georgia Institute of Technology
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