In the capstone, students will engage on a real world project requiring them to apply skills from the entire data science pipeline: preparing, organizing, and transforming data, constructing a model, and evaluating results. Through a collaboration with Coursolve, each Capstone project is associated with partner stakeholders who have a vested interest in your results and are eager to deploy them in practice. These projects will not be straightforward and the outcome is not prescribed -- you will need to tolerate ambiguity and negative results! But we believe the experience will be rewarding and will better prepare you for data science projects in practice.
This course is part of the Data Science at Scale Specialization
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About this Course
Flexible deadlines
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Shareable Certificate
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Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs Course 4 of 4 in the
Approx. 6 hours to complete
English
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessSkills you will gain
- Python Programming
- R Programming
- Data Analysis
- Data Wrangling
- Statistics
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.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs Course 4 of 4 in the
Approx. 6 hours to complete
English
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Syllabus - What you will learn from this course
1 hour to complete
Project A: Blight Fight
1 hour to complete
2 readings
1 hour to complete
Week 2: Derive a list of buildings
1 hour to complete
1 reading
1 hour to complete
Week 3: Construct a training dataset
1 hour to complete
1 reading
1 hour to complete
Week 4: Train and evaluate a simple model
1 hour to complete
1 reading
Reviews
- 5 stars45.45%
- 4 stars40.90%
- 3 stars4.54%
- 1 star9.09%
TOP REVIEWS FROM DATA SCIENCE AT SCALE - CAPSTONE PROJECT
by WEJan 1, 2017
An interesting problem to tackle. I really liked that you started with very raw data and needed to work on many cleaning methods. Good practice for real data science.
About the Data Science at Scale Specialization

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