About this Course

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Learner Career Outcomes

39%

started a new career after completing these courses

35%

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. 13 hours to complete
English
Subtitles: English, Korean

What you will learn

  • Set up R, R-Studio, Github and other useful tools

  • Understand the data, problems, and tools that data analysts use

  • Explain essential study design concepts

  • Create a Github repository

Skills you will gain

Data ScienceGithubR ProgrammingRstudio

Learner Career Outcomes

39%

started a new career after completing these courses

35%

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. 13 hours to complete
English
Subtitles: English, Korean

Offered by

Johns Hopkins University logo

Johns Hopkins University

Syllabus - What you will learn from this course

Content RatingThumbs Up96%(90,525 ratings)Info
Week
1

Week 1

3 hours to complete

Data Science Fundamentals

3 hours to complete
5 videos (Total 40 min), 2 readings, 5 quizzes
5 videos
What is Data Science?9m
What is Data?6m
Getting Help10m
The Data Science Process9m
2 readings
Welcome5m
A Note of Explanation2m
5 practice exercises
What is Data Science?6m
What is Data?6m
Getting Help Quiz6m
Data Science Process8m
Module One Summative Quiz30m
Week
2

Week 2

3 hours to complete

R and RStudio

3 hours to complete
5 videos (Total 34 min)
5 videos
Installing R Studio3m
RStudio Tour7m
R Packages11m
Projects in R5m
6 practice exercises
Installing R8m
Installing R Studio4m
RStudio Tour8m
R Packages10m
Projects in R6m
Module Two Summative Quiz30m
Week
3

Week 3

2 hours to complete

Version Control and GitHub

2 hours to complete
4 videos (Total 28 min)
4 videos
Github and Git8m
Linking Github and R Studio4m
Projects under Version Control4m
5 practice exercises
Version Control6m
GitHub and Git10m
Linking Git/GitHub and RStudio6m
Projects under Version Control8m
Module Three Summative Quiz30m
Week
4

Week 4

5 hours to complete

R Markdown, Scientific Thinking, and Big Data

5 hours to complete
4 videos (Total 34 min)
4 videos
Types of Data Science Questions9m
Experimental Design9m
Big Data6m
5 practice exercises
R Markdown10m
Types of Data Science Questions6m
Experimental Design14m
Big Data6m
Module Four Summative Quiz30m

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