Data Science Methodology

Take our free course

bdu-course-ds-method-v3

Data Science Methodology

with John B. Rollins

Audience:
Beginners

Time to complete:
2 hrs

Available in:
English

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 BigDataUniversity.com.
  • If you do not pass the course, you can take it again at any time.

Pre-requisites

None

Recommended skills prior to taking this course

None

Grading Scheme

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