Introduction to Analytics Modeling

Massive Open Online Course
  • Overview
  • Course Content
  • Requirements & Materials
Overview

Introduction to Analytics Modeling

Course Description

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.

Course Content

The current course content is available on the edX registration page.

Requirements & Materials

Prerequisites

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

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.

Working professional attending an engineering course

What You Will Learn

  • Classification
  • Clustering
  • Change detection
  • Data smoothing
  • Validation
  • Prediction
  • Optimization
  • Experimentation
  • Decision making
Analytics professional working on two desktop monitors

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.
  • Taught by Experts in the Field icon
    Taught by Experts in the Field
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    Grow Your Professional Network
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