Getting and Cleaning Data

4.5
4,508 ratings
746 reviews

Course 3 of 10 in the Data Science Specialization

Before you can work with data you have to get some. This course will cover the basic ways that data can be obtained. The course will cover obtaining data from the web, from APIs, from databases and from colleagues in various formats. It will also cover the basics of data cleaning and how to make data “tidy”. Tidy data dramatically speed downstream data analysis tasks. The course will also cover the components of a complete data set including raw data, processing instructions, codebooks, and processed data. The course will cover the basics needed for collecting, cleaning, and sharing data.
Globe

100% online course

Start instantly and learn at your own schedule.
Clock

Approx. 11 hours to complete

Suggested: 4 hours/week
CommentDots

English

Subtitles: English, Russian, French, Chinese (Simplified)

What you will learn

  • Check
    Apply data cleaning basics to make data "tidy"
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    Obtain usable data from the web, APIs, and databases
  • Check
    Understand common data storage systems
  • Check
    Use R for text and date manipulation

Skills you will gain

R ProgrammingData CleansingData AnalysisData Mining
Globe

100% online course

Start instantly and learn at your own schedule.
Clock

Approx. 11 hours to complete

Suggested: 4 hours/week
CommentDots

English

Subtitles: English, Russian, French, Chinese (Simplified)

Syllabus - What you will learn from this course

1

Section
Clock
2 hours to complete

Week 1

In this first week of the course, we look at finding data and reading different file types....
SvgReading
9 videos (Total 67 min), 4 readings, 1 quiz
Video9 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
SvgReading4 readings
Welcome to Week 110m
Syllabus10m
Pre-Course Survey10m
Practical R Exercises in swirl Part 110m
Quiz1 practice exercises
Week 1 Quiz10m

2

Section
Clock
1 hour to complete

Week 2

Welcome to Week 2 of Getting and Cleaning Data! The primary goal is to introduce you to the most common data storage systems and the appropriate tools to extract data from web or from databases like MySQL. ...
SvgReading
5 videos (Total 41 min), 1 quiz
Video5 videos
Reading from HDF56m
Reading from The Web6m
Reading From APIs7m
Reading From Other Sources4m
Quiz1 practice exercises
Week 2 Quiz10m

3

Section
Clock
10 hours to complete

Week 3

Welcome to Week 3 of Getting and Cleaning Data! This week the lectures will focus on organizing, merging and managing the data you have collected using the lectures from Weeks 1 and 2. ...
SvgReading
7 videos (Total 60 min), 1 reading, 4 quizzes
Video7 videos
Summarizing Data11m
Creating New Variables10m
Reshaping Data9m
Managing Data Frames with dplyr - Introduction3m
Managing Data Frames with dplyr - Basic Tools12m
Merging Data6m
SvgReading1 readings
Practical R Exercises in swirl Part 210m
Quiz1 practice exercises
Week 3 Quiz10m

4

Section
Clock
6 hours to complete

Week 4

Welcome to Week 4 of Getting and Cleaning Data! This week we finish up with lectures on text and date manipulation in R. In this final week we will also focus on peer grading of Course Projects. ...
SvgReading
5 videos (Total 34 min), 2 readings, 3 quizzes
Video5 videos
Regular Expressions I5m
Regular Expressions II8m
Working with Dates6m
Data Resources3m
SvgReading2 readings
Practical R Exercises in swirl Part 410m
Post-Course Survey10m
Quiz1 practice exercises
Week 4 Quiz10m
4.5
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40%

started a new career
Briefcase

83%

got a tangible career benefit from this course

Top Reviews

By DHFeb 2nd 2016

Easy, mostly instructive Course. The Assignments and quizzes are quite good, and illustrates the lessons very well.\n\nSee the videos for general presentation, but use the energy on the excersizes.

By BEOct 26th 2016

This course is really a challenging and compulsory for any one who wants to be a data scientist or working in any sort of data. It teaches you how to make very palatable data-set fro ma messy data.

Instructors

Avatar

Jeff Leek, PhD

Associate Professor, Biostatistics
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Roger D. Peng, PhD

Associate Professor, Biostatistics
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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

  • 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.

  • 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.

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