Tidyverse Courses and Certifications

Microcredential

Tidyverse Skills for Data Science in R

Enhance your data science skills with Johns Hopkins University's 30-week online course. Learn to import, wrangle, visualize, and model data using the Tidyverse framework in R.

• Coursera
• 30 weeks, 3 hours a week
• On-Demand
• Paid Course
• 5 courses

Modeling Data in the Tidyverse

Learn to model and analyze data effectively with Johns Hopkins University's 11-week course. Covers hypothesis testing, linear regression, nonlinear modeling, and machine learning. Requires R programming knowledge.

• Coursera
• 21 hours 22 minutes
• On-Demand
• Free Online Course (Audit)

Introduction to the Tidyverse

41 ratings at Coursera

Learn to use the Tidyverse, a powerful set of data science tools, in this 4-week course by Johns Hopkins University. Ideal for beginners and experienced data scientists. R programming knowledge required.

• Coursera
• 7 hours 33 minutes
• On-Demand
• Free Online Course (Audit)

Importing Data in the Tidyverse

42 ratings at Coursera

Learn to import and harmonize data in R using Tidyverse tools with this 4-week course from Johns Hopkins University. Ideal for those familiar with R programming.

• Coursera
• 15 hours
• On-Demand
• Free Online Course (Audit)

Wrangling Data in the Tidyverse

31 ratings at Coursera

Learn to wrangle and analyze data effectively with R in this 4-week course by Johns Hopkins University. Gain skills in reshaping, rearranging, and reformatting data.

• Coursera
• 14 hours 5 minutes
• On-Demand
• Free Online Course (Audit)

Visualizing Data in the Tidyverse

20 ratings at Coursera

Learn to visualize data using ggplot2 R package in this 4-week course by Johns Hopkins University. Ideal for those familiar with R programming.

• Coursera
• 16 hours 40 minutes
• On-Demand
• Free Online Course (Audit)

Data Analysis with Tidyverse

Learn R programming for data analysis with the University of Colorado Boulder's 5-week course. Master tidyverse verbs, readr, dplyr, stringr, and forcats for data manipulation and analysis.

• Coursera
• 17 hours 2 minutes
• On-Demand
• Free Online Course (Audit)

Introduction to R Programming and Tidyverse

32 ratings at Coursera

Learn R programming and Tidyverse in a 4-week course by the University of Colorado Boulder. Ideal for beginners, it covers data visualization, analysis, and reproducibility.

• Coursera
• 23 hours 20 minutes
• On-Demand
• Free Online Course (Audit)

R Tidyverse Reporting and Analytics for Excel Users

708 ratings at Udemy

Learn to use R for faster, more flexible data analysis and reporting, replacing common Excel functions. This 5-hour course focuses on tidyverse libraries, ideal for Excel users.

• Udemy
• 5 hours
• On-Demand
• Paid Course

Communicating with Data in the Tidyverse

Leverage the power of tidyverse tools to create publication-quality graphics and custom-styled reports that communicate your results.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Working with Data in the Tidyverse

Learn to work with data using tools from the tidyverse, and master the important skills of taming and tidying your data.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Modeling with Data in the Tidyverse

Discover different types in data modeling, including for prediction, and learn how to conduct linear regression and model assessment measures in the Tidyverse.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Categorical Data in the Tidyverse

Get ready to categorize! In this course, you will work with non-numerical data, such as job titles or survey responses, using the Tidyverse landscape.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Network Analysis in the Tidyverse

Learn how to analyze and visualize network data in the R programming language using the tidyverse approach.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Learning the R Tidyverse

135 ratings at LinkedIn Learning

Learn to integrate the tidyverse into your R workflow and get new tools for importing, filtering, visualizing, and modeling research and statistical data.

• LinkedIn Learning
• 3-4 hours
• On-Demand
• Free Trial Available