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  1. Home
  2. Learning Paths

Tidyverse Skills for Data Science in R Learning Path

Tidyverse Skills for Data Science in R is a Specialization designed by Coursera. It consists of five courses and can be completed in seven months with 3 hours of learning content .

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Description

Develop Insights from Data With Tidy Tools. Import, wrangle, visualize, and model data with the Tidyverse R packages.

This Specialization is intended for data scientists with some familiarity with the R programming language who are seeking to do data science using the Tidyverse family of packages. Through 5 courses, you will cover importing, wrangling, visualizing, and modeling data using the powerful Tidyverse framework. The Tidyverse packages provide a simple but powerful approach to data science which scales from the most basic analyses to massive data deployments. This course covers the entire life cycle of a data science project and presents specific tidy tools for each stage.

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Free Learning Paths by Career Track

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Included Courses

Coursera
Johns Hopkins University
Free
1. Introduction to the Tidyverse

8 hours

Beginner

1,797
R Programming tidyverse Data Analysis Data Modeling Data Science Data Sets Data Visualization
Coursera
Johns Hopkins University
Free
2. Importing Data in the Tidyverse

15 hours
Microsoft Excel R Programming RStudio XML rvest APIs Data Analysis Data Modeling Data Science Data Sets
Coursera
Johns Hopkins University
Free
3. Wrangling Data in the Tidyverse

14 hours
Dplyr R Programming RStudio tidyverse Algorithms Correlation Data Analysis Data Science Data Sets
Coursera
Johns Hopkins University
Free
4. Visualizing Data in the Tidyverse

17 hours
R Programming RStudio ggplot tidyverse Data Analysis Data Science Data Sets Data Visualization Exploratory Data Analysis
Coursera
Johns Hopkins University
Free
5. Modeling Data in the Tidyverse

21 hours
R Markdown R Programming RStudio tidymodels tidyverse Algorithms Classification Data Analysis Data Analytics Data Modeling
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