CC - Chef's Choice
- flip through these flash-cards
- (CC) Online Learning by RStudio team, a continuously updated collection of learning reasorces.
- Quick-R - thorough and convenient resource for R reference. One of the first results to show up in search engines.
- Most useful R commands according to personality-project.org (William Revelle), creator of the pysch package. Useful to peruse and as a quick cheat-sheet. Also, see their R-guide
- (CC) R Graphics Cookbook, the best resource for your ggplot2 reference
- quick markdown intro, sexy graphs.
- making interactive data tables
- a course on stats using R at UBC link
- (CC) ITSL: videos Hastie and Tibshirani narrate their book. Arranged by Data School. See also the solutions to their exercises
- twotorials video compact video tutorials on bits and pieces of all things R. Very useful for targeted reference.
- Google R videos - Google Developers R Programming Video Lectures series.
- R Tutorials by Kelly Black at Clarkson Univeristy. Approximately covers an intro to stats undergrad course.
- R by Example organized example scripts.
- (CC) RStudio cheatsheets are so well done that I have put them all into a single pdf and keep it on my Desktop.
- Data Science Specialization, slides from all nine courses. Files is too big to view online (130 MB), download first.
- Introduction to Statistical Learning, all slides from Hastie and Tibshirani videos (James et al., 2013).
- Topics in Computational Data Analysis and Graphics, slide to Ross Ihaka's course.
- (CC) Statistical Computing, quick review of basic R syntax.
- Introduction to data analysis, Hadley Wickham's slides from Rice University.
- Computing for Data Analysis, coursera course.
- (CC) Answering Theoretical Questions with R , Descriptive Statistics with R - great overview lectures by James Steiger. Browse his website statpower.net for lecture slides to his statistical courses at Vanderbilt University.
- (CC) Swirl courses and my annotations to them. quick start with swirl. Most of the courses overlap with (DSS), giving the same material in the interactive environment of RStudio. It also have unique courses, which number is expected to increase in the future.
- Introduction to R interactive course by DataCamp. Slick, responsive interface. Great place to start for complete newbies to programming in general.
- Try R interactive course by Code School
- Intro to Statistical Programming in R interactive course by Leada
- (CC) Data Science Specialization (DSS) and particularly their Curated Knowledge page. One of the best resources on data science has been coming from John Hopkins University, as did this lecture series on Coursera. nteractive course by DataCamp.
- Introduction to data analysis course Hadley Wickham taught at Rice University in 2012
- Information Visualization course by Ross Ihaka, one of the creators of R language. Also see his courses on Statistical Computing and Statistical Graphics
- (CC) Programming with R by Software carpentry
- Introduction to R by Andy Teucher. Great example of github use. Local option.
- (CC) Statistical Inference. I, introductory course in statistics for graduate students at Vanderbilt University, taught by James Steiger. Also see his Statistical Inference. II and Multivariate courses.
- Introduction to Biostatistics - fundamental skills for effective statistical programming. A course taught by Chris Fonnesbeck at Vanderbilt University
- Statistical Computing in R a biostatistics course by Nicholas Christian at University of Pittsburgh. Great series of slides on essential programming vocabulary and techniques for statistical modeling. Exemplifies SWEAVE for report generation.
- Data Analysis and Statistical Inference i
- lady tasting tea short video on designing experiment in words of R.A. Fisher.
- dude tapping bear or p-value extravaganza.
- C-SPAN Booknotes: An hour-long interview with Nicholas Capaldi, the author of "John Stuart Mill: A Biography" , publisher amazon, google books.
- Baconian Science episode of In Our Time Science by BBC4.
- Induction episode of The Philosopher's Arms by BBC4.
- The Scientific Method
- (CC) The Scientist
- (CC) Popper
- Probability
- Logical Positivism
- Learn Statistics with Keith Bower - has nice, itemized podcasts on the basic statistics concepts. Both video and audio podcasts.
- Data School blog and learning space by Kevin Markham, former DSS TA and developer.
- rbloggers central hub for blogging about data science with R.
- Excellent collection of datasets.
- HistData Wiki overviews some of the historic datasets from the HistData package. Visualization challanges await.
I do my best to follow the Best Practices for Scientific Computing