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IBM: The Data Science Method

Beginner English Completion CertificateFREE

About this course

Alex Aklson teaches a structured methodology for approaching data science problems: identifying a problem, collecting and analyzing data, building a model, and interpreting feedback after deployment, framed around the six stages of the Cross-Industry Process for Data Mining (CRISP-DM) methodology via a case study.

The honest take: this is a conceptual, methodology-focused course rather than a hands-on coding course — there's no mention of programming exercises on the page, so treat it as the 'how to think about data science problems' companion to more technical, code-heavy courses.

What you'll learn

Explain why a structured methodology is needed for data science problems
List the major steps involved in tackling a data science problem
Determine appropriate data sources for a data science analysis
Describe the six stages of the CRISP-DM methodology via a case study
Apply the data science methodology to a self-defined problem

This course includes

Yes
Certificate
Yes
Mobile access
English
Language
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Instructor

AA
Alex Aklson
edX instructor
— learners— courses — instructor rating

Alex Aklson, Ph.D., is a data scientist at IBM Canada with prior experience designing data-driven healthcare and consulting solutions; he holds a Ph.D. in Biomedical Engineering from the University of Toronto.

Requirements

  • None specified

Who this course is for

  • Aspiring data scientists wanting a structured problem-solving framework
  • Analysts moving from ad-hoc analysis to formal methodology

About this provider

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Frequently asked questions

Not based on the published syllabus — it's a conceptual methodology course (CRISP-DM), not a hands-on coding course.
The Cross-Industry Process for Data Mining — a six-stage methodology for approaching data science problems, taught here via a case study.
7 weeks (hours-per-week not specified on the page).
You earn an IBM digital skill badge rather than a formal verified certificate.
18,451 learners enrolled as of this listing.
Free
to audit
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