If there is a shortcut to becoming a Data Scientist, then learning to think and work like a successful Data Scientist is it. Most of the established data scientists follow a similar methodology for solving Data Science problems. In this course you will learn and then apply this methodology that can be used to tackle any Data Science scenario.
IBM Skills NetworkAbout this Course
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Beginner Level
No previous experience required, although prior use of Jupyter Notebooks will be beneficial.
Approx. 8 hours to complete
English
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Try Coursera for BusinessWhat 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
Could your company benefit from training employees on in-demand skills?
Try Coursera for Business
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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
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
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
2 hours to complete
From Deployment to Feedback
2 hours to complete
3 videos (Total 10 min), 2 readings, 3 quizzes
Reviews
- 5 stars71.22%
- 4 stars21.47%
- 3 stars4.88%
- 2 stars1.53%
- 1 star0.87%
TOP REVIEWS FROM DATA SCIENCE METHODOLOGY
by PAApr 14, 2020
It's a very good course for getting the basic idea of the methodology of data science. It will help to get grip on how to proceed to a problem in a systematic manner for getting good results.
by ARNov 22, 2019
It was a good course with very easy to understand material and methodology.
In my opinion additional optional reading resources or case study links is required for this to be a 5 star course.
by APJan 20, 2020
It is a good course, teaching about the general process and life cycle of a data science project. Excellent tips are provided. Overall, I feel it was lacking a bit in content for 3 weeks.
by TMJun 18, 2021
Very interesting course. It shed a light on what the structured approach really is. It's worth to pause for a moment with every step of the methodology and think how to apply it in real life. Thanks!
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