TIM-6130

Carver, C. (2007). Feedback loop. In R. F. Baumeister & K. D. Vohs (Eds.), Encyclopedia of social psychology (Vol. 1, pp. 350-351). SAGE Publications, Inc.
Review information on the Feedback loop.

Crisp-dm. (2020, August 5). Data Science Project Management.
Great overview of the data mining life cycle.

Define and solve a problem by using solver. (n.d.). Microsoft Support.
How to use Excel Solver.

Download the RStudio IDE. (2021). RStudio | Open-source & professional software for data science teams - RStudio.
Download site for Rstudio.

Giraldo Mejía, J. C., Montoya Quintero, D. M., & Jiménez Builes, J. A. (2017). Knowledge-based model to support decision-making when choosing between two association data mining techniques 14(2), 41–50.
You should review this article on how to choose the right data mining technique for an organization.

Import or export text (.txt or .csv) files. (2021). Microsoft Support.
Importing and exporting with Excel.

Snee, R. D. (2015). A practical approach to data mining: I have all these data; Now what should I do? Quality Engineering, 27(4), 477-487.
Review information on how to use data that are mined within the organization for decision-making.

Witten, I. H., Frank, E., & Hall, M. A. (2017). What’s it all about. Data mining: Practical machine learning tools and techniques (3rd ed.), 4-41.
Read Chapter 1: “What’s It All About?” And you should review information on data mining techniques.

Wicker, Z. T., & Browning, J. B. (2021). Introduction to healthcare statistics. Visualizing Health Care Statistics: A Data-Mining Approach, (2nd ed., pp.2-13). Jones & Bartlett Learning.
Chapter 1, Introduction to Healthcare Statistics, gives a good overview of data mining and statistics.

Mariani, M. M., & Fosso Wamba, S. (2020). Exploring how consumer goods companies innovate in the digital age: The role of big data analytics companies. Journal of Business Research, 121, 338–352.
Read about consumer use of big data.

R built-in data sets - Easy guides - Wiki - STHDA. (n.d.). STHDA - Accueil.
A great description of the data sets built-in with R.
*Note: This site has been tested by our internal IT team and has been deemed safe to access.

Team, T. R. D. C. (2021). The R project for statistical computing.
Download site for R software.

RDataMining.com: R and Data Mining. (n.d.).
A must-bookmark site on how to use R for data mining! Review the first three links.

Roiger, R. J. (2016). Data mining. Data mining: A tutorial-based primer (2nd ed., pp. 3-32).
Review Chapter 1 for data mining basics.

Wicker, Z. T., & Browning, J. B. (2021). Central tendency, variance, and variability. Visualizing health care statistics: A data-mining approach (2nd ed., pp. 14-28). Jones & Bartlett Learning.
Chapter 2 provides a good overview of basic statistical methods.