Tidyverse Courses and Certifications

Introduction to R Programming and Tidyverse

49 ratings at Coursera

Learn R programming and Tidyverse essentials for data analysis and visualization. Master RMarkdown, functions, ggplot2, and dplyr to create reproducible reports and gain valuable data science skills.

• Coursera
• 23 hours 21 minutes
• Self-Paced
• Paid Course

Data Analysis with Tidyverse

13 ratings at Coursera

Learn to analyze data using R's Tidyverse: import, tidy, manipulate relational data, work with strings and categorical variables. Gain practical skills for effective data analysis and visualization.

• Coursera
• 17 hours 3 minutes
• Self-Paced
• Paid Course

R Tidyverse Reporting and Analytics for Excel Users

780 ratings at Udemy

From Excel To Big Data and Interactive Dashboard Visualizations in 5 Hours

• Udemy
• 5 hours 16 minutes
• Self-Paced
• Paid Course

Data science with R: tidyverse

733 ratings at Udemy

R Programming Language, Data Analysis, Data Cleaning, Data Science, Data Wrangling, tidyverse, dplyr, ggplot2, RStudio

• Udemy
• 1 day 6 hours 50 minutes
• Self-Paced
• Paid Course

R Programming 101

Mastering the Tidyverse in R - Data Wrangling, Visualization, and Analysis

Master data manipulation, visualization, and analysis using R's powerful Tidyverse ecosystem including dplyr, ggplot2, tidyr, stringr, and lubridate for efficient workflows.

• YouTube
• 8 hours 59 minutes
• Self-Paced
• Free Video

Data Tidying and Importing with R

12 ratings at Coursera

Transform and manipulate data using tidyverse in R. Learn data tidying, importing, recoding, and web scraping techniques to prepare datasets for visualization and modeling.

• Coursera
• 13 hours 4 minutes
• Self-Paced
• Paid Course

Coursera

Transform, Analyze, and Report Data with R

Master end-to-end data analysis with R using Tidyverse, dplyr pipelines, automated R Markdown reports, and model evaluation techniques like ROC curves and cross-validation.

• Coursera
• 2 hours 54 minutes
• Self-Paced
• Paid Course

Credential

Expressway to Data Science: R Programming and Tidyverse

56 ratings at Coursera

Master R programming and Tidyverse for data science: import, tidy, and visualize data using ggplot2. Develop skills for reproducible research and advanced data analysis techniques.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

R Programming and Tidyverse Capstone Project

Reinforce R and tidyverse skills through hands-on COVID-19 data analysis. Import, clean, and visualize datasets to create a comprehensive report for your data science portfolio.

• Coursera
• 9 hours 41 minutes
• Self-Paced
• Paid Course

Codio

Data Analysis in R with RStudio & Tidyverse

19 ratings at Coursera

Learn foundational data analysis in R using RStudio and Tidyverse. Covers descriptive statistics, data wrangling, and statistical tests through hands-on coding exercises and real-world applications.

• Coursera
• 9 hours 46 minutes
• Self-Paced
• Paid Course

Cleaning Data In R with Tidyverse and Data.table

619 ratings at Udemy

Get your data ready for analysis with R packages tidyverse, dplyr, data.table, tidyr and more

• Udemy
• 4 hours 4 minutes
• Self-Paced
• Paid Course

R Programming 101

Data Manipulation with R Programming - Tidyverse and Dplyr for Beginners

Master data wrangling with R and tidyverse packages through hands-on manipulation, filtering, cleaning, and transformation techniques for beginners.

• YouTube
• 5 hours 4 minutes
• Self-Paced
• Free Video

Data Manipulation with dplyr

67 ratings at DataCamp

Build Tidyverse skills by learning how to transform and manipulate data with dplyr.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Data Analyst in R

20 ratings at DataCamp

From exploratory data analysis with dplyr to data visualization with ggplot2—gain the career-building R skills you need to succeed as a data analyst!

• DataCamp
• 1 day 12 hours
• Self-Paced
• Free Trial Available

Associate Data Scientist in R

Learn how to use R for data science, from data manipulation to machine learning. Gain the career-building skills you need to succeed in data science!

• DataCamp
• 3 days 16 hours
• Self-Paced
• Free Trial Available