About this Course

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Approx. 14 hours to complete
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What you will learn

  • A​pply Tidyverse functions to transform non-tidy data to tidy data

  • C​onduct basic exploratory data analysis

  • C​onduct analyses of text data

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. 14 hours to complete
English

Offered by

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Johns Hopkins University

Syllabus - What you will learn from this course

Week
1

Week 1

4 hours to complete

Wrangling Data in the Tidyverse

4 hours to complete
19 readings
19 readings
About This Course3m
Tidy Data Review2m
Reshaping Data2m
Wide Data5m
Long Data5m
Reshaping Data30m
Data Wrangling
R Packages15m
The Pipe Operator15m
Filtering Data20m
Reordering15m
Creating New Columns5m
Separating Columns5m
Merging Columns5m
Cleaning Column Names5m
Combining Data Across Data Frames5m
Grouping Data5m
Summarizing Data3m
Operations Across Columns10m
2 practice exercises
Reshaping Data Quiz30m
Data Wrangling Quiz30m
Week
2

Week 2

2 hours to complete

Working With Factors, Dates, and Times

2 hours to complete
14 readings
14 readings
Working with Factors5m
Factor Review5m
Manually Changing the Labels of Factor Levels: fct_releve()5m
Keeping the Order of the Factor Levels: fct_inorder()5m
Advanced Factoring5m
Re-ordering Factor Levels by Frequency: fct_infreq()5m
Reversing Order Levels: fct_rev()5m
Re-ordering Factor Levels by Another Variable: fct_reorder()5m
Combining Several Levels into One: fct_recode()5m
Converting Numeric Levels to factors: ifelse() + factor()5m
Dates and Times Basics5m
Creating Dates and Date-Time Objects10m
Working with Dates5m
Time Spans5m
2 practice exercises
Working With Factors Quiz30m
Working With Dates Quiz30m
Week
3

Week 3

3 hours to complete

Working With Strings and Text and Functional Programming

3 hours to complete
13 readings
13 readings
Working with Strings5m
stringr5m
String Basics15m
Regular Expressions3m
glue15m
Tidy Text Format15m
Sentiment Analysis15m
Word and Document Frequency30m
Functional Programming5m
For Loops vs. Functionals2m
map Functions5m
Multiple Vectors15m
Anonymous Functions5m
2 practice exercises
Working With Strings Quiz30m
Functional Programming Quiz30m
1 hour to complete

Exploratory Data Analysis

1 hour to complete
2 readings
2 readings
Exploratory Data Analysis10m
General Principles of EDA25m
Week
4

Week 4

3 hours to complete

Case Studies

3 hours to complete
11 readings
11 readings
Case Studies10m
Healthcare Coverage Data20m
Healthcare Spending Data20m
Join the Data30m
Census Data15m
Violent Crime15m
Brady Scores15m
The Counted Fatal Shootings15m
Unemployment Data15m
Population Density: 201515m
Firearm Ownership10m
1 hour to complete

Project: Wrangling data in the Tidyverse

1 hour to complete
1 reading
1 reading
Important information before you start the project5m
1 practice exercise
Wrangling Data in the Tidyverse Course Project1h

About the Tidyverse Skills for Data Science in R Specialization

Tidyverse Skills for Data Science in R

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