About this Course

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Learner Career Outcomes

39%

started a new career after completing these courses

36%

got a tangible career benefit from this course

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 19 hours to complete

English

Subtitles: French, Chinese (Simplified), Vietnamese, Korean, Russian, English...

What you will learn

  • Understand common data storage systems

  • Apply data cleaning basics to make data "tidy"

  • Use R for text and date manipulation

  • Obtain usable data from the web, APIs, and databases

Skills you will gain

Data ManipulationRegular Expression (REGEX)R ProgrammingData Cleansing

Learner Career Outcomes

39%

started a new career after completing these courses

36%

got a tangible career benefit from this course

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 19 hours to complete

English

Subtitles: French, Chinese (Simplified), Vietnamese, Korean, Russian, English...

Offered by

Johns Hopkins University logo

Johns Hopkins University

Syllabus - What you will learn from this course

Content RatingThumbs Up90%(12,374 ratings)Info
Week
1

Week 1

2 hours to complete

Week 1

2 hours to complete
9 videos (Total 67 min), 4 readings, 1 quiz
9 videos
Raw and Processed Data7m
Components of Tidy Data9m
Downloading Files7m
Reading Local Files4m
Reading Excel Files3m
Reading XML12m
Reading JSON5m
The data.table Package11m
4 readings
Welcome to Week 110m
Syllabus10m
Pre-Course Survey10m
Practical R Exercises in swirl Part 110m
1 practice exercise
Week 1 Quiz10m
Week
2

Week 2

1 hour to complete

Week 2

1 hour to complete
5 videos (Total 41 min)
5 videos
Reading from HDF56m
Reading from The Web6m
Reading From APIs7m
Reading From Other Sources4m
1 practice exercise
Week 2 Quiz10m
Week
3

Week 3

10 hours to complete

Week 3

10 hours to complete
7 videos (Total 60 min), 1 reading, 4 quizzes
7 videos
Summarizing Data11m
Creating New Variables10m
Reshaping Data9m
Managing Data Frames with dplyr - Introduction3m
Managing Data Frames with dplyr - Basic Tools12m
Merging Data6m
1 reading
Practical R Exercises in swirl Part 210m
1 practice exercise
Week 3 Quiz10m
Week
4

Week 4

6 hours to complete

Week 4

6 hours to complete
5 videos (Total 34 min), 2 readings, 3 quizzes
5 videos
Regular Expressions I5m
Regular Expressions II8m
Working with Dates6m
Data Resources3m
2 readings
Practical R Exercises in swirl Part 410m
Post-Course Survey10m
1 practice exercise
Week 4 Quiz10m

Frequently Asked Questions

  • 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.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

  • If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.

More questions? Visit the Learner Help Center.