Data Science Methodology

Take our free course


Data Science Methodology

with John B. Rollins


Time to complete:
2 hrs

Available in:

How does a data scientist think? What are the major steps involved in tackling a data science problem? In Data Science Methodology, John Rollins (Ph.D., Data Scientist at IBM) describes the major steps involved in practicing data science, with interesting real-world examples at each step: from forming a concrete business or research problem, to collecting and analyzing data, to building a model, and understanding the feedback after model deployment. This course is offered for free.

Course Syllabus

After completing this course, you should be able to:

  • Explain the steps in data science methodology
  • Understand the process and requirements for each of the methodological steps
  • Understand how to apply the methodology is applied to real-world business problems

General Information

  • This course is free.
  • It is self-paced.
  • It can be taken at any time.
  • It can be taken as many times as you wish.
  • Students passing the course (by passing the quiz) will have immediate access to printing their online certificate of achievement.
  • Your name in the certificate will appear exactly as entered in your profile in
  • If you do not pass the course, you can take it again at any time.



Recommended skills prior to taking this course


Grading Scheme

The minimum passing mark for the course is 60% on the quiz. You have 3 attempts to take the test.