About this Course

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Flexible deadlines
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Shareable Certificate
Earn a Certificate upon completion
100% online
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Beginner Level

F​amiliarity with the R programming language

Approx. 8 hours to complete
English

What you will learn

  • D​istinguish between tidy and non-tidy data

  • Describe how non-tidy data can be transformed into tidy data

  • D​escribe the Tidyverse ecosystem of packages

  • O​rganize and initialize a data science project

Skills you will gain

Data ManagementData Visualization (DataViz)R Programmingtidying data
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Beginner Level

F​amiliarity with the R programming language

Approx. 8 hours to complete
English

Offered by

Placeholder

Johns Hopkins University

Syllabus - What you will learn from this course

Week
1

Week 1

2 hours to complete

Tidy Data

2 hours to complete
6 readings
Week
2

Week 2

1 hour to complete

From Non-Tidy –> Tidy

1 hour to complete
3 readings
1 hour to complete

The Data Science Life Cycle & Tidyverse Ecosystem

1 hour to complete
5 readings
Week
3

Week 3

2 hours to complete

Data Science Project Organization & Workflows

2 hours to complete
6 readings
1 hour to complete

Case Studies

1 hour to complete
2 readings
Week
4

Week 4

1 hour to complete

Project: Organizing a New Data Science Project

1 hour to complete

About the Tidyverse Skills for Data Science in R Specialization

Tidyverse Skills for Data Science in R

Frequently Asked Questions

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