Georgia Tech Professional Education

Introduction to Analytics Modeling

Available dates

May 11—Aug 8, 2020
Online
USD 0
Aug 17—Dec 19, 2020
Online
USD 0
Jan 11—May 15, 2021
Online
USD 0

Disclaimer

Coursalytics is an independent platform to find, compare, and book executive courses. Coursalytics is not endorsed by, sponsored by, or otherwise affiliated with Georgia Tech Professional Education.

Full disclaimer.

About the course

Analytical models are key to understanding data, generating predictions, and making business decisions. Without models, it is 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, such as R. You’ll learn about analytics modeling and how to choose the right approach from among the wide range of options in your toolbox.

What You Will Learn

  • Classification
  • Clustering
  • Change detection
  • Data smoothing
  • Validation
  • Prediction
  • Optimization
  • Experimentation
  • Decision making

How You Will Benefit

  • Learn the essentials of core analytics methods and gain intuition for how and when to apply them, as well as their data and computing requirements.
  • Gain an understanding of how to choose the right data sets, algorithms, techniques, and formats to solve a particular business problem.
  • Learn about analytics modeling and how to choose the right approach.

Who should attend

This course is designed for anyone who wants to learn essentail analytics models and methods and how to appropriately apply them. It is recommended that you have a background in probability and statistics, basic programming proficiency, linear algebra, and basic calculus before taking this course.

Trust the experts

Joel Sokol

He received his PhD in operations research from MIT and his bachelor’s degrees in mathematics, computer science, and applied sciences in engineering from Rutgers University. His primary research interests are in sports analytics and applied operations research. He has worked with teams or leagues...

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Course reviews

Available dates

May 11—Aug 8, 2020
Online
USD 0
Aug 17—Dec 19, 2020
Online
USD 0
Jan 11—May 15, 2021
Online
USD 0

Disclaimer

Coursalytics is an independent platform to find, compare, and book executive courses. Coursalytics is not endorsed by, sponsored by, or otherwise affiliated with Georgia Tech Professional Education.

Full disclaimer.

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