Update your data science skills by learning R. Learn how common data analysis and statistics operations are run in Excel vs. R and how to move data back and forth between each program.
- [Conrad] Excel is a powerful tool for statistics. But it has its limits. R is a dedicated statistical package that's constantly growing, adding new capabilities. One problem it hasn't yet solved, is it can be tough to learn. I know plenty of people and you probably do to, who use Excel to do basic and intermediate statistical analysis. Many of them say that they'd like to add R to their tool kit, but the documentation on R terse. It's dense, and hard to follow. That puts people off. You don't need all the information crammed into the formal documentation at least not right now. Let's start with the basic skills that you need to leverage your experience in Excel, and start runnin' the more sophisticated analysis, that R can provide. Hi, I'm Conrad Carlberg, and I'd like to invite you to join me for my course on LinkedIn Learning. Where I'll show you how to get started with R, and how to get your data back and forth between R and Excel.
- Installing R and DescTools
- Descriptive statistics in Excel and DescTools
- Moving data between R and Excel
- Running the Desc function
- Bivariate analysis in R and Excel