About this Course

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Flexible deadlines
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Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs External Link
Beginner Level

No previous experience required, although prior use of Jupyter Notebooks will be beneficial. 

Approx. 8 hours to complete
English

What you will learn

  • Describe what a methodology is and why data scientists need a methodology.

  • Apply the six stages in the Cross-Industry Process for Data Mining (CRISP-DM) methodology to analyze a case study. 

  • Determine an appropriate analytic model including predictive, descriptive, and classification models to analyze a case study.  

  • Decide on  appropriate sources of data for your data science project. 

Skills you will gain

  • Data Science
  • Methodology
  • CRISP-DM
  • Data Analysis
  • Data Mining
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs External Link
Beginner Level

No previous experience required, although prior use of Jupyter Notebooks will be beneficial. 

Approx. 8 hours to complete
English

Offered by

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IBM Skills Network

Start working towards your Bachelor's degree

This course is part of the 100% online Bachelor of Applied Arts and Sciences from IBM Skills Network. If you are admitted to the full program, your courses count towards your degree learning.

Syllabus - What you will learn from this course

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Week1
Week 1
3 hours to complete

From Problem to Approach and From Requirements to Collection

3 hours to complete
5 videos (Total 19 min), 3 readings, 4 quizzes
Week2
Week 2
3 hours to complete

From Understanding to Preparation and From Modeling to Evaluation

3 hours to complete
6 videos (Total 22 min), 3 readings, 4 quizzes
Week3
Week 3
2 hours to complete

From Deployment to Feedback

2 hours to complete
3 videos (Total 10 min), 2 readings, 3 quizzes

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