About this Course

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100% online
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Beginner Level
Approx. 8 hours to complete
English

What you will learn

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

  • Describe the six stages in the Cross Industry Process for Data Mining (CRISP-DM) methodology including Business Understanding and Data Understanding.

  • Describe some of the use cases for different analytic models and approaches, such as Predictive, Descriptive, and Classification models.

  • Explain the importance of identifying the correct sources of data for your data science project.

Skills you will gain

Data ScienceData MiningMethodology
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
Approx. 8 hours to complete
English

Offered by

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IBM

Syllabus - What you will learn from this course

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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

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