Data Analytics in Business

Open Online

Course Description

Businesses, consumers, and societies leave behind massive amounts of data as a by-product of their activities. Leading-edge companies in every industry are using analytics to replace intuition and guesswork in their decision-making. As a result, managers are collecting and analyzing enormous data sets to discover new patterns and insights and running controlled experiments to test hypotheses.

This course, part of the Analytics: Essential Tools and Methods MicroMasters program, prepares you to understand data and business analytics and become a leader in these areas in business organizations.

It covers the methodologies, algorithms, issues, and challenges related to analyzing business data. It will illustrate the processes of analytics by allowing you to apply business analytics algorithms and methodologies to real-world business datasets from finance, marketing, and operations. The use of real-world examples and cases places business analytics techniques in context and teaches you how to avoid the common pitfalls, emphasizing the importance of applying proper business analytics techniques.

In addition to cases, this course features hands-on experiences with data collection, analysis, and visualization using Python programs and analytics software such as SAS.

This course includes a significant analytics project.

How You Will Benefit

  • Understand data and business analytics and become a leader in these areas in business organizations
  • Interact intelligently on the topic of business analytics with CAOs, business managers, and data scientists

Ready To Get Started?

This Open Online course is brought to you in partnership with edX, an online learning platform. If you’re ready to register now, you will be directed to the edX website.


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Who Should Attend

Those with an interest in the process of transforming data into insights for making better business decisions.


  • Methodologies
  • Algorithms
  • Issues and challenges related to analyzing business data
  • Data collection
  • Data analysis
  • Visualization using Python programs
  • Analytics project

Technology Requirements

Verify you meet the minimum technology requirements for this section.

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Course Info

Course ID: DL 003MM
Course Format: Online