Start learning with our library of video tutorials taught by experts. Get started
Viewers: in countries Watching now:
R is the language of big data—a statistical programming language that helps describe, mine, and test relationships between large amounts of data. Author Barton Poulson shows how to use R to model statistical relationships using graphs, calculations, tests, and other analysis tools. Learn how to enter and modify data; create charts, scatter plots, and histograms; examine outliers; calculate correlations; and compute regressions, bivariate associations, and statistics for three or more variables. Challenge exercises with step-by-step solutions allow you to test your skills as you progress.
Hi, I'm Bart Poulson and I'd like to welcome you to R Statistics Essential Training. In this course, I'll teach you to use charts such as histograms, bar charts, scatter plots and custom-layered plots to get the big picture of your data. Descriptive statistics such as means, standard deviations and correlations for a more precise depiction of your data. And inferential statistics like regression, t-tests, to help you determine the reliability of your results and how they can generalize to a broader population.
I'll also show you how to read data in a variety of formats, to explore and manipulate your data and to create new variables and compute transformations. Finally, I'll demonstrate how you can create beautiful charts for publication and presentation and share your results with others. If you're ready to get going, let's get started with R Statistics Essential Training.
Find answers to the most frequently asked questions about R Statistics Essential Training.
Here are the FAQs that matched your search "":
Q: The R files within Chapters 01 to 10 don't appear to have any code in them. Where is the final code for each file?
A: Look in the "Finished Versions" folder which contains final version of each file. These files contain the R code written by the author.
Sorry, there are no matches for your search ""—to search again, type in another word or phrase and click search.
Access exercise files from a button right under the course name.
Search within course videos and transcripts, and jump right to the results.
Remove icons showing you already watched videos if you want to start over.
Make the video wide, narrow, full-screen, or pop the player out of the page into its own window.
Click on text in the transcript to jump to that spot in the video. As the video plays, the relevant spot in the transcript will be highlighted.