Here are some recommended books for institutional researchers (IR). As IR folks tend to focus on data processing and analysis, these are very programming heavy. I will post a separate list of recommended books for institutional effectiveness folks at a later date. Feel free to recommend other books for IR folks. I will update the list over time.
JavaScript
- Eloquent JavaScript, 3rd Edition: A Modern Introduction to Programming by Marijn Haverbeke (https://www.amazon.com/gp/product/1593279507/)
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Power Query
- Collect, Combine, and Transform Data Using Power Query in Excel and Power BI by Gil Raviv (https://www.amazon.com/Collect-Combine-Transform-Business-Skills-ebook/dp/B07HP9J35M/)
- M Is for (Data) Monkey: A Guide to the M Language in Excel Power Query by Ken Puls, Miguel Escobar (https://www.amazon.com/Data-Monkey-Guide-Language-Excel-ebook/dp/B017QL64A0/)
Power Pivot
- Power Pivot and Power BI: The Excel User’s Guide to DAX, Power Query, Power BI & Power Pivot in Excel 2010-2016 by Rob Collie, Avichal Singh (https://www.amazon.com/Power-Pivot-BI-Excel-2010-2016-ebook/dp/B019BNG4YW/) [Rob Collie was on the development team for Power Pivot]
- The Definitive Guide to DAX: Business intelligence with Microsoft Excel, SQL Server Analysis Services, and Power BI by Alberto Ferrari, Marco Russo (https://www.amazon.com/Definitive-Guide-DAX-intelligence-Microsoft/dp/073569835X/) [These guys work for Microsoft]
SAS
- The Little SAS Book: A Primer, Fifth Edition by Lora D. Delwiche, Susan J. Slaughter (https://www.amazon.com/Little-SAS-Book-Primer-Fifth-ebook/dp/B00B29H9HU/)
Data Visualization
- Information Dashboard Design: Displaying Data for At-a-Glance Monitoring by Stephen Few (https://www.amazon.com/Information-Dashboard-Design-At-Glance/dp/1938377001/)
- Show Me the Numbers: Designing Tables and Graphs to Enlighten by Stephen Few (https://www.amazon.com/Show-Me-Numbers-Designing-Enlighten/dp/0970601972/) [Well, anything by Stephen Few would probably be best]
- Effective Data Visualization: The Right Chart for the Right Data by Stephanie Evergreen (https://www.amazon.com/Effective-Data-Visualization-Right-Chart-ebook/dp/B07D511FZP/)
- Storytelling with Data: A Data Visualization Guide for Business Professionals by Cole Nussbaumer Knaflic (https://www.amazon.com/Storytelling-Data-Visualization-Business-Professionals-ebook/dp/B016DHQSM2/)
R
- R for Data Science by Garrett Grolemund, Hadley Wickham (https://r4ds.had.co.nz/)
- Advanced R by Hadley Wickham (http://adv-r.had.co.nz/)
Python
- Python for Everybody: Exploring Data In Python 3 by Dr. Charles Russell Severance https://www.py4e.com/book [FREE]
- Think Python: How to Think Like a Computer Scientist by Allen B. Downey http://greenteapress.com/wp/think-python-2e/
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