The capstone project class will allow students to create a usable/public data product that can be used to show your skills to potential employers. Projects will be drawn from real-world problems and will be conducted with industry, government, and academic partners.
Data Science Capstone
Data Science Capstone
This course is part of multiple programs.
Instructors: Jeff Leek, PhD
Sponsored by Johns Hopkins University
36,944 already enrolled
Gain insight into a topic and learn the fundamentals.
4.5
(1,226 reviews)
5 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace
95%
Most learners liked this course
What you'll learn
Create a useful data product for the public
Apply your exploratory data analysis skills
Build an efficient and accurate prediction model
Produce a presentation deck to showcase your findings
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
3 assignments
Taught in English
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Build your subject-matter expertise
This course is available as part of
When you enroll in this course, you'll also be asked to select a specific program.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
There are 7 modules in this course
This week, we introduce the project so you can get a clear grip on the problem at hand and begin working with the dataset.
What's included
7 videos6 readings1 assignment
This week, we move on to the next tasks, exploratory data analysis and modeling. You'll also submit your milestone report and review submissions from your classmates.
What's included
2 videos2 readings1 peer review
This week, you'll build and evaluate your prediction model. The goal is to make your model efficient and accurate.
What's included
1 video1 reading1 assignment
This week's goal is to improve the predictive accuracy while reducing computational runtime and model complexity.
What's included
1 video1 reading1 assignment
This week, you'll work on developing the first component of your final project, your data product.
What's included
1 video1 reading
This week, you'll work on developing the second component of your final project, a slide deck to accompany your data product.
What's included
1 video1 reading
This week, you'll submit your final project and review the work of your classmates.
What's included
1 video1 peer review
Instructors
Instructor ratings
4.5 (105 ratings)Offered by
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