Part 2 Setting the Stage for Data Analytics
by Zacharias Voulgaris PhD
Data Science: Mindset, Methodologies, and Misconceptions
- Introduction
- Part 1 Overview of Data Science and the Data Scientist’s Work
- Chapter 1 What is Data Science?
- Chapter 2 The Data Science Pipeline
- Chapter 3 Data Science Methodologies
- Chapter 4 The Data Scientist’s Toolbox
- Part 2 Setting the Stage for Data Analytics
- Chapter 5 Data Science Questions and Hypotheses
- Chapter 6 Data Science Experiments and Evaluation of Their Results
- Chapter 7 Sensitivity Analysis of Experiment Conclusions
- Part 3 Common Errors in Data Science
- Chapter 8 Programming Bugs
- Chapter 9 Mistakes Through the Data Science Process
- Chapter 10 Handling Bugs and Mistakes
- Part 4 Other Aspects of Data Science
- Chapter 11 The Role of Heuristics in Data Science
- Chapter 12 The Role of AI in Data Science
- Chapter 13 Data Science Ethics
- Chapter 14 Future Trends and How to Remain Relevant
- Final Words
- Glossary
- Index
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