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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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PMean: A simple structure for documentation
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PMean: Grading rubric for computer assignments
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Recommended: Section 508 CoP: PDF Accessibility – Part One
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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