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Data Science Capstone

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Data Science Capstone

This course is part of multiple programs.

Instructors: Jeff Leek, PhD

38,365 already enrolled

Included with

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7 modules

Gain insight into a topic and learn the fundamentals.

1,240 reviews

6 hours to complete

Flexible schedule

Learn at your own pace

95%

Most learners liked this course

7 modules

Gain insight into a topic and learn the fundamentals.

1,240 reviews

6 hours to complete

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

Tools you'll learn

R Programming

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

3 assignments

Taught in English

91% of learners achieved a positive career outcome

See how employees at top companies are mastering in-demand skills

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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

There are 7 modules in this course

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.

Module details

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

7 videosTotal 20 minutes

Welcome to the Capstone Project2 minutes
Welcome from SwiftKey1 minute
You Are a Data Scientist Now1 minute
Introduction to Task 0: Understanding the Problem1 minute
Introduction to Task 1: Getting and Cleaning the Data1 minute
Regular Expressions: Part 1 (Optional)5 minutes
Regular Expressions: Part 2 (Optional)8 minutes

6 readingsTotal 52 minutes

A Note of Explanation2 minutes
Project Overview10 minutes
Syllabus10 minutes
Task 0 - Understanding the problem10 minutes
About the Corpora10 minutes
Task 1 - Getting and cleaning the data10 minutes

1 assignmentTotal 12 minutes

Quiz 1: Getting Started12 minutes

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

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructors

Instructor ratings

(109 ratings)

Jeff Leek, PhD

Johns Hopkins University

32 Courses1,758,779 learners

Roger D. Peng, PhD

Johns Hopkins University

37 Courses1,687,341 learners

Brian Caffo, PhD

Johns Hopkins University

30 Courses1,715,963 learners

Offered by

Johns Hopkins University

Learner reviews

5 stars
69.59%
4 stars
20.80%
3 stars
5.16%
2 stars
2.41%
1 star
2.01%

Showing 3 of 1240

Reviewed on Oct 22, 2018

The content of this course is very good and the assignments test the knowledge gainedThe video lectures are some times boring, losing focus.I think video lectures need some improvement

Reviewed on Nov 27, 2018

I appreciate all the work they put into creating the course,. However, it can be frustrating to follow. It would be nice if they would structure it in a more organized fashion.

Reviewed on Feb 8, 2021

Challenging, useful - stretches the imagination as well as knowledge base and skill level. Beautifully presented. Now looking for the next challenge from JHU!

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