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Principles of Data Science

OpenStax · Web editionFree to read — no login

  1. 1 What Are Data and Data Science?
  2. 2 Collecting and Preparing Data
  3. 3 Descriptive Statistics: Statistical Measurements and Probability Distributions
  4. 4 Inferential Statistics and Regression Analysis
  5. 5 Time Series and Forecasting
  6. 6 Decision-Making Using Machine Learning Basics
  7. 7 Deep Learning and AI Basics
  8. 8 Ethics Throughout the Data Science Cycle
  9. 9 Visualizing Data
  10. 10 Reporting Results

Adapted from Principles of Data Science by OpenStax (openstax.org), licensed under CC BY-NC-SA 4.0. Changes were made.

License: CC-BY-NC-SA-4.0. Licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License; this adaptation is distributed under the same license and is provided free of charge.