logo
  • Courses
      • Tools
      • Python
      • R
      • SQL
      • Excel
      • Tableau
      • Power BI
      • All Tools
      • Techniques
      • Artificial Intelligence
      • Data Visualization
      • Machine Learning
      • Natural Language Processing
      • Time Series Analysis
      • All Techniques
      • Online Learning
      • Coursera
      • DataCamp
      • DataKwery
      • EdX
      • FutureLearn
      • Udacity
      • All Learning Sources
      • Education Programs
      • Bootcamps
      • Certificates
      • Certifications
      • Executive Education
      • Graduate Degrees

      • Universities
      • Harvard
      • Stanford
      • MIT
      • Johns Hopkins
      • Georgia Tech
      • All Universities
      • Business Schools
      • Wharton
      • MIT Sloan
      • Darden School of Business
      • All Business Schools
      • Companies
      • Amazon
      • Google
      • IBM
      • Meta
      • Microsoft
      • All Companies
      • Other Data Resources
      • Online Textbooks
      • Cheatsheets
      • Learning Paths
      • Instructors
      • YouTube Videos
  • Careers
      • Data Career Tracks
      • Business Analyst
      • Chief Data Officer
      • Data Analyst
      • Data Architect
      • Data Engineer
      • Data Scientist
      • All Career Tracks
      • Industry Applications
      • Finance
      • Healthcare
      • Human Resources
      • Marketing
      • Sports
      • All Industries
  • Search
  • Login
  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 .

Start Learning

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.

Free Learning Paths by Career Track

Bootstrap Data ScientistBootstrap Data AnalystBootstrap Business AnalystBootstrap Data EngineerBootstrap Chief Data OfficerBootstrap Data Architect

Included Courses

Coursera
Johns Hopkins University
1. Introduction to the Tidyverse

8 hours

Beginner

1,797
R Programming tidyverse
Coursera
Johns Hopkins University
2. Importing Data in the Tidyverse

15 hours
Microsoft Excel R Programming RStudio XML rvest
Coursera
Johns Hopkins University
3. Wrangling Data in the Tidyverse

14 hours
Dplyr R Programming RStudio tidyverse
Coursera
Johns Hopkins University
4. Visualizing Data in the Tidyverse

17 hours
R Programming RStudio ggplot tidyverse
Coursera
Johns Hopkins University
5. Modeling Data in the Tidyverse

21 hours
R Markdown R Programming RStudio tidymodels tidyverse
logo
twitteryoutubelinkedin
Change Site Language
English
Español
简体中文
About
ContactAboutPrivacy
Learn Data Skills
ToolsTechniques
Select Learning Source
UniversitiesBusiness SchoolsCompaniesInstructorsAll Sources
Choose Learning Preference
BootcampsCheatsheetsCertificatesCertificationsExecutive EducationGraduate DegreesLearning PathsOnline TextbooksYouTube Videos
Explore Career Tracks
Business AnalystChief Data OfficerData AnalystData ScientistData EngineerData Architect
See Industry Examples
CustomerEnvironmentalFinanceHealthcareHuman ResourcesMarketingReal EstateSalesSportsWeb
Subscribe for Updates
© 2021-2025 DataKwery