Utilizing material from the course and from personal experience, and using a publicly available data set, based on a series of hypotheses, you will theorize a series of statistical learning models to analyze a market population.

Instructions:

1. Read through the resources below.
2. Select a dataset from the many available datasets found online (here is a quick list of several very useful datasets:https://www.tableau.com/learn/articles/free-public-data-sets).
3. After picking a public dataset look at what variables are available in the data.
4. Explore how variables confound and interact with each other through exploratory analysis - you may use any data exploratory software like Excel, Tableau (free for students, see the links below), Python, etc.).
5. Based on the exploratory analysis in the dataset, come up with 3 different questions, or hypothesizes, an organization you are familiar with may have concerning stakeholders the data examines - suggest what kind of statistical learning analysis might answer that question.
6. Submit a short report concerning your insights and future questions about consumer to ask with the data.

Further Resources:

• Web article "Why you should apply analytics to your people strategy"https://www.mckinsey.com/business-functions/organization/our-insights/why-you-should-apply-analytics-to-your-people-strategy
• Website: "Tableau for Students"https://www.tableau.com/academic/students
• Web article: "How to Design Smart Business Experiments"https://hbr.org/2009/02/how-to-design-smart-business-experiments
• Web article: How to Learn Statistics for Data Science, The Self-Starter Way"https://elitedatascience.com/learn-statistics-for-data-science