This course provides an accessible, nontechnical overview of the field, covering the vocabulary, skills, jobs, tools, and techniques of data science. Instructor Barton Poulson defines the relationships to other data-saturated fields such as machine learning and artificial intelligence. He reviews the primary practices: gathering and analyzing data, formulating rules for classification and decision-making, and drawing actionable insights. He also discusses ethics and accountability and provides direction to learn more. By the end, you’ll see how data science can help you make better decisions, gain deeper insights, and make your work more effective and efficient.

The Program

1. Introduction.
2. What Is Data Science?
3. The Place of Data Science in the Data Universe.
4. Ethics and Agency.
5. Sources of Data.
6. Sources of Rules.
7. Tools for Data Science.
8. Mathematics for Data Science.
9. Analyses for Data Science.
10. Acting on Data Science.
11. Conclusion.