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.

About this Course
No previous experience required, although prior use of Jupyter Notebooks will be beneficial.
Could your company benefit from training employees on in-demand skills?
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
No previous experience required, although prior use of Jupyter Notebooks will be beneficial.
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Start working towards your Bachelor's degree
Syllabus - What you will learn from this course
From Problem to Approach and From Requirements to Collection
From Understanding to Preparation and From Modeling to Evaluation
From Deployment to Feedback
Reviews
- 5 stars71.23%
- 4 stars21.48%
- 3 stars4.88%
- 2 stars1.52%
- 1 star0.87%
TOP REVIEWS FROM DATA SCIENCE METHODOLOGY
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.
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!
Very enriching course. I really liked the content of this course as it has guided me the basic framework of solving any data science problem. the assignment is also fun and enjoyable to do.
This is my favourite in the series, the 10 questions to be answered were mind opening. The repetition after every video makes easier for important points to stick to the brain. Very good indeed...
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