Analytics in Python

Course 1 of 4: MicroMasters Program in Business Analytics 12 Weeks 8–10 hours per week recommended

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About this course

Data is the lifeblood of an organization. Competency in programming is an essential skill for successfully extracting information and knowledge from data.

The goal of this course is to introduce learners to the basics of programming in Python and to give a working knowledge of how to use programs to deal with data.

In this course, we will first cover the basics of programming and then focus on using Python on the entire data management process from data acquisition to analysis of data big data and small data.

This is an intensive hands-on course that will equip and reward learners with proficiency in data management skills.

What you’ll learn

  • Become familiar with working with relational databases, using SQL based languages such as MySql, dealing with formatted data (XML, JSON, etc.)
  • Use Python to work with and analyze data from databases as well as from the web


We will review basic Python programming concepts in week 1 and 2 and no prior programming experience is necessary. But, if you have had some exposure to programming you will get more out of this class.

No specific math capability is required though it will be helpful if you are familiar with the basic concepts of algebra, set theory, and probability.


Who can take this course?

Unfortunately, learners from one or more of the following countries or regions will not be able to register for this course: Iran, Cuba and the Crimea region of Ukraine. While edX has sought licenses from the U.S. Office of Foreign Assets Control (OFAC) to offer our courses to learners in these countries and regions, the licenses we have received are not broad enough to allow us to offer this course in all locations. EdX truly regrets that U.S. sanctions prevent us from offering all of our courses to everyone, no matter where they live.

Meet Your Instructors

Hardeep Johar

Lecturer in Discipline at Columbia University
Hardeep has a Ph.D. in Information Systems from the Stern School of Business, New York University, is a Fellow of the Indian Institute of Management Calcutta, and has an M.A. in Economics from the Birla Institute of Technology and Science in Pilani, India. Hardeep has had extensive experience in industry. He has worked for many years as a quantitative proprietary trader at Deutsche Bank, Credit Suisse, and Morgan Stanley in New York. He was been on the management team of a startup (Peak Strategy) and an advisory board member of another (mSpoke, Inc.). Prior to joining Columbia, Hardeep has been teaching as an Adjunct Professor at the business schools at NYU, Columbia, and Fordham Universities.

Experience Level


Learning Partner

Columbia University

Program Type



Business & Management
Advanced Business Harvard X-Series