About 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.
Created by: Johns Hopkins University
Taught by: Jeff Leek, PhD, Associate Professor, Biostatistics
Bloomberg School of Public Health
Taught by: Roger D. Peng, PhD, Associate Professor, Biostatistics
Bloomberg School of Public Health
Taught by: Brian Caffo, PhD, Professor, Biostatistics
Bloomberg School of Public Health
| Basic Info |
Course 10 of 10 in the
Data Science Specialization.
|
| Commitment | 4-9 hours/week |
| Language | English |
| How To Pass | Pass all graded assignments to complete the course. |
| User Ratings |
Syllabus
WEEK 1
Overview, Understanding the Problem, and Getting the Data
This week, we introduce the project so you can get a clear grip on the problem at hand and begin working with the dataset.
7 videos, 5 readings
- Video: Welcome to the Capstone Project
- Reading: Project Overview
- Video: Welcome from SwiftKey
- Video: You Are a Data Scientist Now
- Reading: Syllabus
- Video: Introduction to Task 0: Understanding the Problem
- Reading: Task 0 - Understanding the problem
- Reading: About the Copora
- Video: Introduction to Task 1: Getting and Cleaning the Data
- Reading: Task 1 - Getting and cleaning the data
- Video: Regular Expressions: Part 1 (Optional)
- Video: Regular Expressions: Part 2 (Optional)
Graded: Quiz 1: Getting Started
WEEK 2
Exploratory Data Analysis and Modeling
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.
2 videos, 2 readings
- Video: Introduction to Task 2: Exploratory Data Analysis
- Reading: Task 2 - Exploratory Data Analysis
- Video: Introduction to Task 3: Modeling
- Reading: Task 3 - Modeling
Graded: Milestone Report
WEEK 3
Prediction Model
This week, you'll build and evaluate your prediction model. The goal is to make your model efficient and accurate.
1 video, 1 reading
- Video: Introduction to Task 4: Prediction Model
- Reading: Task 4 - Prediction Model
Graded: Quiz 2: Natural language processing I
WEEK 4
Creative Exploration
This week's goal is to improve the predictive accuracy while reducing computational runtime and model complexity.
1 video, 1 reading
- Video: Introduction to Task 5: Creative Exploration
- Reading: Task 5 - Creative Exploration
Graded: Quiz 3: Natural language processing II
WEEK 5
Data Product
This week, you'll work on developing the first component of your final project, your data product.
1 video, 1 reading
- Video: Introduction to Task 6: Data Product
- Reading: Task 6 - Data Product
WEEK 6
Slide Deck
This week, you'll work on developing the second component of your final project, a slide deck to accompany your data product.
1 video, 1 reading
- Video: Introduction to Task 7: Slide Deck
- Reading: Task 7 - Slide Deck
WEEK 7
Final Project Submission and Evaluation
This week, you'll submit your final project and review the work of your classmates.
1 video
- Video: Congratulations!
Graded: Final Project Submission
FAQs
How It Works
Coursework
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
Help from Your Peers
Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.
Certificates
Earn official recognition for your work, and share your success with friends, colleagues, and employers.
Creators
Johns Hopkins University
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
Pricing
| Audit | Purchase Course | |
|---|---|---|
| Access to course materials | Available | Available |
| Access to graded materials | Not available | Available |
| Receive a final grade | Not available | Available |
| Earn a shareable Course Certificate | Not available | Available |
Ratings and Reviews
Thanks.
A very tough and challenging project, but a great way to learn a lot about Natural Language Processing and algorithm coding in R, and in the end to have a cool Shiny app to add to your portfolio. The project weekly structure could be enhanced (maybe adding one more week could help) and the weekly instructions, while informative, could also be improved. Thankfully the forum has been very helpful. Informative and motivating videos but where were the SwiftKey people mentioned ? Finally, the quizzes 2 and 3 should be replaced by other exercises with more educational value. Overall an interesting learning opportunity !
Good project. Got me to think outside the box and really challenge myself.
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I enjoyed doing this challenging project