01 - Introduction
02 - 1. What Is Data Science
03 - 2. The Place of Data Science in the Data Universe
04 - 3. Ethics and Agency
05 - 4. Sources of Data
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01 - Data preparation (5:26)
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02 - Labeling data (8:49)
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03 - In-house data (5:38)
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04 - Open data (4:15)
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05 - APIs (2:40)
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06 - Scraping data (4:44)
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07 - Creating data (5:37)
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08 - Passive collection of training data (3:57)
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09 - Self-generated data (3:30)
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10 - Data vendors (5:30)
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11 - Data ethics (5:14)
06 - 5. Sources of Rules
07 - 6. Tools for Data Science
08 - 7. Mathematics for Data Science
09 - 8. Unsupervised Learning
10 - 9. Supervised Learning
11 - 10 Generative Methods in Data Science
12 - 11. Acting on Data Science
13 - Conclusion
