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.

Cours en ligne à 100 %

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.

Approx. 6 hours to complete

Suggested: 4-9 hours/week

English

Sous-titres : English

Ce que vous allez apprendre

Apply your exploratory data analysis skills

Build an efficient and accurate prediction model

Create a useful data product for the public

Produce a presentation deck to showcase your findings

Compétences que vous acquerrez

R ProgrammingData ScienceNatural Language ProcessingMachine Learning

Cours en ligne à 100 %

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.

Approx. 6 hours to complete

Suggested: 4-9 hours/week

English

Sous-titres : English

Syllabus - What you will learn from this course

1

Section

1 hour to complete

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 (Total 20 min), 5 readings, 1 quiz

7 videos

Welcome to the Capstone Project1m

Welcome from SwiftKey1m

You Are a Data Scientist Now1m

Introduction to Task 0: Understanding the Problem1m

Introduction to Task 1: Getting and Cleaning the Data1m

Regular Expressions: Part 1 (Optional)5m

Regular Expressions: Part 2 (Optional)8m

5 readings

Project Overview10m

Syllabus10m

Task 0 - Understanding the problem10m

About the Copora10m

Task 1 - Getting and cleaning the data10m

1 practice exercises

Quiz 1: Getting Started12m

2

Section

2 hours to complete

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 (Total 3 min), 2 readings, 1 quiz

2 videos

Introduction to Task 2: Exploratory Data Analysis1m

Introduction to Task 3: Modeling1m

2 readings

Task 2 - Exploratory Data Analysis10m

Task 3 - Modeling10m

3

Section

1 hour to complete

Prediction Model

This week, you'll build and evaluate your prediction model. The goal is to make your model efficient and accurate. ...

1 video (Total 1 min), 1 reading, 1 quiz

1 videos

Introduction to Task 4: Prediction Model1m

1 readings

Task 4 - Prediction Model10m

1 practice exercises

Quiz 2: Natural language processing I20m

4

Section

1 hour to complete

Creative Exploration

This week's goal is to improve the predictive accuracy while reducing computational runtime and model complexity....

1 video (Total 1 min), 1 reading, 1 quiz

1 videos

Introduction to Task 5: Creative Exploration0m

1 readings

Task 5 - Creative Exploration10m

1 practice exercises

Quiz 3: Natural language processing II20m

5

Section

11 minutes to complete

Data Product

This week, you'll work on developing the first component of your final project, your data product. ...

1 video (Total 1 min), 1 reading

1 videos

Introduction to Task 6: Data Product1m

1 readings

Task 6 - Data Product10m

6

Section

11 minutes to complete

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 (Total 1 min), 1 reading

1 videos

Introduction to Task 7: Slide Deck0m

1 readings

Task 7 - Slide Deck10m

7

Section

2 hours to complete

Final Project Submission and Evaluation

This week, you'll submit your final project and review the work of your classmates....

1 video (Total 2 min), 1 quiz

1 videos

Congratulations!2m

Instructors

Jeff Leek, PhD

Associate Professor, Biostatistics

Roger D. Peng, PhD

Associate Professor, Biostatistics

Brian Caffo, PhD

Professor, Biostatistics

About 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....

Frequently Asked Questions

When will I have access to the lectures and assignments?
Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.
What will I get if I pay for this course?
If you pay for this course, you will have access to all of the features and content you need to earn a Course Certificate. If you complete the course successfully, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. Note that the Course Certificate does not represent official academic credit from the partner institution offering the course.
What is the refund policy?
Is financial aid available?
Yes! Coursera provides financial aid to learners who would like to complete a course but cannot afford the course fee. To apply for aid, select "Learn more and apply" in the Financial Aid section below the "Enroll" button. You'll be prompted to complete a simple application; no other paperwork is required.

More questions? Visit the Learner Help Center

Spécialisation Data Science