A class covering on-line teaching has reminded me about accessibility issues. This includes accessibility for blind students who rely on screen readers. This webpage post covers some of the very simple things you can do that would make life a lot easier for students with impaired vision. Continue reading

# Tag Archives: Teaching resources

# PMean: A simple structure for documentation

Everybody has different standards for documentation, and if you are already using a standard you like, don’t let me stop you. But if you’ve never used much documentation and decide that you need to do better, here’s a guideline that I developed. Continue reading

# PMean: Grading rubric for computer assignments

I’ve been teaching a variety of classes that require students to run a statistical analysis in a package like SAS or R and report the results. There is a tremendous variety of formats that students use, and I thought it would be helpful to offer some guidance. It would save me time in grading, but more importantly it would emphasize that students need to think about what they produce rather than just tossing together whatever comes out of the computer. The five requirements for homework assignments are they be complete, concise, clear, error-free, and interpretable. Continue reading

# Recommended: Section 508 CoP: PDF Accessibility – Part One

I have been somewhat lax in making my work accessible for people with disabilities. This video covers some of the basic things you can do with a PDF file to insure that it is can be easily read by screen reading software. There are similar videos for Microsoft Word and Microsoft Powerpoint files. Continue reading

# Recommended: Textbook Examples Applied Survival Analysis

I’m teaching an online workshop for The Analysis Factor on survival analysis. It’s not announced yet, and I have a LOT of work to do before it is ready. One thing that will save me time is that I am taking many of my examples from the excellent textbook, Applied Survival Analysis Second Edition. One nice perk of this book is that the helpful folks at UCLA have taken every textbook example, and written up code (with comments!) to reproduce the book’s results. With the exception of a few advanced methods in later chapters, where only one or two software packages have the right capability, the code is written in parallel in R, SAS, SPSS, and Stata. They also have links to the raw data at the publishers website, and datasets stored in SAS format and SPSS format. How nice! Browse around and you’ll find software code for all the examples in other popular statistics textbooks as well.

Warning! The R examples look like they are from the first edition, not the second edition. A small nitpick for an otherwise very nice resource. Continue reading

# Recommended: Welcome to developerWorks

I got this recommendation from a friend. IBM has a large number of free resources explaining things like cloud computing and blockchain. I’m most interested in their section on analytics. There’s a nice introduction, for example, to natural language processing. Continue reading

# PMean: Resources for R

I attended several talks about R at the Joint Statistics meetings and noted some interesting packages and other resources during these talks. I lost track of that list until recently, but they are still relevant, so here they are. Continue reading

# Recommended: Intro to SQL for Data Science

This is a series of videos and homework exercises that you can work on at your own pace. I have only viewed the outline for this, but anything from DataCamp comes highly recommended. Continue reading

# Recommended: beanumber repository

This is the github repository of Ben Baumer. He is one of the co-authors of “Modern Data Science with R” and the data and code from that book is available here. He also provides code and data for OpenWAR, an open source method for calculating a baseball statistic, Wins Above Replacement. Finally, there is an R library for extracting, transforming, and loading “medium” sized datasets into SQL. Medium here means multi-gigabyte sized files. Related to this are a couple of “medium” sized data sets from the Internet Movie Database and from the NYC CitiBike dataset. Continue reading

# Recommended: Teaching precursors to data science in introductory and second courses in statistics

This paper talks about how to get students to think about large databases in an introductory class that normally uses “toy” problems with a few dozen rows of data. Continue reading