About this Course

274,449 recent views
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.
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.
Beginner Level

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

Approx. 8 hours to complete
English

Offered by

Placeholder

IBM Skills Network

Start working towards your Bachelor's degree

This course is part of the 100% online Bachelor of Science in Computer Science 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

Content RatingThumbs Up93%(18,478 ratings)
Week
1
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
Week
2
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
Week
3
Week 3
2 hours to complete

From Deployment to Feedback

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

Reviews

TOP REVIEWS FROM DATA SCIENCE METHODOLOGY

View all reviews

Frequently Asked Questions

More questions? Visit the Learner Help Center.