R Tidyverse For Everyone
Published 3/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 17h 1m | Size: 10.82 GB
What you'll learn
Understand R programming
Understand basic programming syntax like if-else statements and loops
Understand tidyverse and its underlying philosophy
Understand date time handling and advanced dplyr
Understand control flow and looping in R
Understand how to apply the techniques you have learned in real world datasets
Become a confident R and tidyverse programmer
Have strong skills in foundational data science and data analysis tools and methodology
Requirements
No programming experience needed, just a willingness to learn
Description
Have you ever wanted to learn programming?
Have you ever wanted to know what the hype with tidyverse is all about?
Have you ever wanted to jump into data analysis or data science?
Then this course is for you! This course takes you by the hand and walks you through a principled and philosophical introduction to tidyverse. You'll not just learn the tidyverse commands but also why they work and how to think about data. This course is not just about memorizing commands, but about why the commands are the way they are. This course is also about taking on real world data like airlines, airbnb, and taxi cab rides so that you are prepared for what comes your way.
This is the place to start your journey into R, programming, tidyverse and data science. I am excited to have you here!
Taught by an award winning data science educator with years of teaching programming to people learning to upskill and reskill this course is built on copious examples, live demos and methodical walkthroughs so that by the end not only do you know data science but also how to think about data and write safe, clear code.
No prior experience is necessary just a hunger to learn more.
Jump in!
Who this course is for
Beginners to programming
People wanting to upskill or reskill
Students wanting to learn R and tidyverse for a course
People wanting to get into data analysis and data science
People with prior Python experience wanting to learn a new skill or new tools
Code:
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