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Who is a data scientist
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Classroom Contents
Common Data Science Mistakes
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- 1 Introduction
- 2 Who is a data scientist
- 3 Agenda
- 4 Soft Skills
- 5 Gathering Data
- 6 General Statistics
- 7 Factor
- 8 Test Differences
- 9 Causation and Correlation
- 10 Outliers
- 11 Removing outliers
- 12 Multivariate search for outliers
- 13 Things we inadvertently forget
- 14 Data normalization
- 15 Clustering
- 16 Normalization
- 17 Correlation
- 18 Visualization
- 19 Problem rules
- 20 Prediction
- 21 Recap
- 22 Questions
