Chapter 5 Videos, Podcasts and Other Resources
5.1 Videos to Learn R
Lots of people like to watch a video to learn things. Here are some of the many R examples we’ve found useful.
- Getting Started with R Markdown, from R Studio.
- The Datacamp Course called R for the Intimidated is useful, too, especially for those feeling that way.
- Getting Your Data into R, from R Studio.
- Data Wrangling with R and RStudio, also from R Studio.
- Also good is the six part series on R Studio Essentials, from R Studio.
- Parts 1 and 2 of each section (Programming, and Managing Change) may be of more interest.
5.2 Podcasts
- Not So Standard Deviations: The Data Science Podcast with Hilary Parker and Roger Peng talking about the latest in data science and data analysis in academia and industry.
- The Effort Report with Elizabeth Matsui and Roger Peng talking about life in the academic trenches, telling it “like it is”. Every graduate student in this course looking at a career in academia would benefit from listening.
5.3 A Few Web Sites and Blogs
- FiveThirtyEight
- Andrew Gelman’s Blog: Statistical Modeling, Causal Inference and Social Science
- Kaiser Fung’s Junkcharts Blog
- Nathan Yau’s Flowing Data Blog
There are several curated lists of data science blogs online, for example, see https://github.com/rushter/data-science-blogs
5.4 Other Resources
- The
swirlpackage in R can be a great help for people learning R programming and data science. Find out more about it at http://swirlstats.com/students.html - UCLA’s Institute for Digital Research and Education has some great Data Analysis Examples using R (and other software.)