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Tag Archives: Teaching resources
Recommended: Data science curriculum roadmap
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PMean: Think positively, what has research done for us
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Recommended: Accessible R Markdown Documents
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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
PMean: A simple structure for documentation
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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
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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
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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
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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
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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
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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