**Predictive Analytics: Data Mining, Machine Learning and Data Science for Practitioners (2nd ed.).**Delen, D. (2020). Predictive Analytics: Data Mining, Machine Learning and Data Science for Practitioners (2nd ed.). Pearson FT Press.

**This is one of your two primary textbooks for this lesson. It is a series of chapters with very practical introductions to various approaches of doing predictive analytics. For this lesson, please read Chapter 1. This present lesson will assume you have already learned the fundamentals of descriptive statistics and of basic inferential statistics in an earlier module or course.****Fundamentals of Applied Probability and Random Processes (2nd Ed)**Ibe, O. C. (2014).*Fundamentals of Applied Probability and Random Processes.*Academic Press.

**This is a reference text for discovering more detail about the mathematics used for the various analytical methods you will be learning. Please read Section 1.7 for this lesson.**

**The Corporate Strategy Game***About the Competitive Strategy Game.*(2022). Berkeley.edu. https://csg.haas.berkeley.edu/Home/About**Crack the Competitive Strategy Game – Part 02 Monte Carlo***[Case Studies] CS-142 Crack the Competitive Strategy Game (CSG) - Part 02 Monte Carlo – scientificstrategy.*(2022). KNIME Hub; KNIME Hub.

**This site is a section of the KNIME Hub that provides a working solution to the Corporate Strategy Game using Monte Carlo simulation in a KNIME-based model.**

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