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 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
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 stars71.14%
- 4 stars21.54%
- 3 stars4.89%
- 2 stars1.54%
- 1 star0.87%
TOP REVIEWS FROM DATA SCIENCE METHODOLOGY
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!
by JMFeb 26, 2020
Very informative step-by-step guide of how to create a data science project. Course presents concepts in an engaging way and the quizzes and assignments helped in understanding the overall material.
by JGNov 29, 2019
This was a clear and concise overview of the methodology and using the case study really helped (although sometimes it got a bit advanced considering this comes before actually learning models).
by NNJul 6, 2019
I like the way they provide sample with food preparation on each of the stage of data science methodology. Need to give more sample for the study case to give more insight and understanding.
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