Resources & Books
Resource List
Books (all books are from Amazon)
·Jones, B. (2020) Data Literacy Fundamentals. Understanding the Power & Value of Data. Data Literacy Press.
·J. Morrow (2021). Be Data Literate: The Data Literacy Skills Everyone Needs to Succeed. Kogan Page.
·Aiken, P., & Harbour, T. (2021). Data Literacy. Technics Publications.
·Muller, J. (2018). The Tyranny of Metrics. Princeton University Press
·McComb, D. (2019) The Data-Centric Revolution. Technics Publications
·Knaflic, C. N. (2015). Storytelling with Data: A Data Visualization Guide for Business Professionals. Wiley.
·Dykes, B. (2020). Effective Data Storytelling. How to drive change with data, narrative, and visuals. Wiley
·Provost, F., & Fawcett, T. (2013). Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking. O'Reilly Media.
·Tetlock, P. E., & Gardner, D. M. (2015). Superforecasting: The Art and Science of Prediction. Broadway Books.
·Kirkpatrick, D. L., & Kirkpatrick, J. D. (2016). Four Levels of Training Evaluation. Atd Press.
LMS Tools
• Degreed
• DataCamp
• Coursera
Analytics and Visualization Tools
• PowerBI, Dataiku, Alteryx
Other
• TEDx (a ton of information on how we learn and how to tell a story to invoke emotions)
• Gartner Group (great resource but the data literacy offering has not been updated. Still helpful but would like to know their thoughts on LLM’s impact)
• Gartner Summits (worth the money even if it is out of pocket but you can’t be shy, and you must visit and talk to the vendors and any Gartner person you can. Make them know your there.)
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