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The Georgia Institute of Technology via edX

Introduction to Analytics Modeling

4.519 ratings at edX

Overview

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

What you'll 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

Skills you'll practise

Machine LearningAlgorithmsBusiness DecisionsForecastingR (Programming Language)Statistical Modeling

Advantages and disadvantages

Advantages

  • University courses you can audit for free, with lectures, readings and practice quizzes.
  • A verified certificate from the university if you pay for it.
  • From Georgia Institute of Technology, a well-regarded name.

Disadvantages

  • Graded assignments and the certificate need the paid track.
  • Audit access can expire a few weeks after the course ends.
  • Learning is free, but the certificate costs money.
  • Some parts (graded work, certificate) are paid.
  • Runs on fixed dates, so you may have to wait for the next run.
  • A big commitment: about 16 weeks, 9 - 11 hours per week in all.

Some points apply to every course of this kind; see how we rank.

Free to audit

  • Free: Choose "Audit this course" when you enrol: lectures, readings and practice are free.
  • Paid: Graded assignments and the verified certificate (Certificate $825). Audit access may end after the course closes.

Before you start

Probability and statistics Basic programming proficiency Linear algebra Basic calculus

Taught by

  • Joel SokolProfessor and Director of the Master of Science in Analytics Program (On campus and Online)

Georgia Institute of Technology is in Tier 2: excellent universities and the companies that build the technology of our institution ranking (86/100).

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