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Introduction to Analytics Modeling

Provided by The Georgia Institute of Technology (GTx)
8–10 hours
per week, for 11 weeks
Free

$500 USD for a certificate of completion

Learn essential analytics models and methods and how to appropriately apply them, using tools such as R, to retrieve desired insights.

Start Date:

Before you start

  • Probability and statistics
  • Basic programming proficiency
  • Linear algebra
  • Basic calculus
Course opens: May 13, 2019
Course ends: Aug 10, 2019

What you will learn

  • 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 

Overview

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.

Meet your instructors

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

Who can take this course?

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View Courses
This course is part of:

Earn a MicroMasters® Program Certificate in 1 year if courses are taken one at a time.

View the program
  1. 120–150 hours of effort

    A hands-on introduction to basic programming principles and practice relevant to modern data analysis, data mining, and machine learning.

  2. Introduction to Analytics Modeling
  3. 160–192 hours of effort

    This course prepares students to understand business analytics and become leaders in these areas in business organizations.

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