Shawn Wiggins

MATH 108 Foundations of Data Science

Catalog Description

Foundations of Data Science combines an introductory look into the fundamental skills and concepts of computer programming and inferential statistics with hands-on experience in analyzing datasets by using common tools within the industry. Additionally, the course investigates ethical issues surrounding Data Science, such as data privacy.

Student Learning Outcomes

1. Communicate the statistical analysis of real world data using multiple representations such as graphs, text, and tables, being mindful of concerns around data bias and privacy.
2. Write computer scripts to organize, produce visualizations, and numerically summarize data.
3. Infer population information using tools from inferential statistics based on random sample data generated using computational techniques such as iteration.
4. Make predictions using machine learning techniques such as clustering and linear regression.

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