Introduction to R Programming and Tidyverse

Coursera Courses ↗ · Coursera

Open Course on Coursera

Free to audit · Opens on Coursera

Introduction to R Programming and Tidyverse

Coursera · Beginner ·📊 Data Analytics & Business Intelligence ·1mo ago
This course is a gentle introduction to programming in R designed for 3 types of learners. It will be right for you, if: • you want to do data analysis but don’t know programming • you know programming but aren’t familiar with R • you know some R programming but want to learn the tidyverse verbs You will learn to do data visualization and analysis in a reproducible manner and use functions that allow your code to be easily read and understood. You will use RMarkdown to create nice documents and reports that execute your code freshly every time it’s run and that capture your thoughts about the data along the way. This course has been designed for learners from non-STEM backgrounds to help prepare them for more advanced data science courses by providing an introduction to programming and to the R language. I am excited for you to join me on the journey! The course logo was created using images of stickers from the RStudio shop. Please visit https://swag.rstudio.com/s/shop.
Watch on Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

Roblox Data Engineering Interview Questions: Full DE Prep Guide
Prepare for Roblox data engineering interviews with a focus on text-heavy product telemetry and search-related questions
Dev.to · Gowtham Potureddi
Tesla Data Engineering Interview Questions: Full DE Prep Guide
Prepare for Tesla data engineering interviews with this comprehensive guide, covering key concepts and practice questions to help you succeed
Dev.to · Gowtham Potureddi
Exodus Point Data Engineering Interview Questions: Full DE Prep Guide
Prepare for Exodus Point data engineering interviews with this comprehensive guide, covering key concepts and practice questions to help you succeed
Dev.to · Gowtham Potureddi
What I learned scraping Website Contact: schema, gotchas and the tooling that worked
Learn how to scrape Website Contact schema and overcome common obstacles with the right tooling
Dev.to · Can Yılmaz
Up next
May 2026 Databricks Updates: No Code ETL, New GPUs and Death of the Dashboard
Databricks
Watch →