Principles of Data Science (OpenStax)
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Principles of Data Science is intended to support one- or two-semester courses in data science. It is appropriate for data science majors and minors as well as students concentrating in business, finance, health care, engineering, the sciences, and a number of other fields where data science has become critically important.
Front Matter
1: What Are Data and Data Science?
2: Collecting and Preparing Data
3: Descriptive Statistics- Statistical Measurements and Probability Distributions
4: Inferential Statistics and Regression Analysis
5: Time Series and Forecasting
6: Decision-Making Using Machine Learning Basics
7: Deep Learning and AI Basics
8: Ethics Throughout the Data Science Cycle
9: Visualizing Data
10: Reporting Results
11: Appendix
12: Answer Key
Back Matter
Thumbnail: Algo-r-(h)-i-(y)-thms, 2018. Installation view at ON AIR, Tomás Saraceno's solo exhibition at Palais de Tokyo, Paris, 2018. (Unsplash License; Alina Grubnyak via Unsplash)