Startup Data Science: Use Data to Answer Questions, Rapidly Prototype, and Pitch Ideas
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Presentation for Cornell Tech startup entrepreneurship course.
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Startup Data Science: Use Data to Answer Questions, Rapidly Prototype, and Pitch Ideas
- 1. Startup Data Science Misha Lisovich November 12, 2014
- 2. Outline What is data science? Startup data science! Tableau hands-on Questions
- 3. What is Data Science?
- 4. What is Data Science?
- 5. Startup Data Science | Use Data to . . . 1. Answer questions 2. Rapid prototype 3. Pitch!
- 6. Workflow
- 7. Workflow
- 8. Workflow
- 9. Tidy Data Data that’s easy to transform, visualise and model Key idea: store variables in a consistent way, always as columns Useful tools to tidy messy data: gather, spread and separate. Google “tidy data” for more details.
- 10. Data Manipulation | + group by select: pick columns by name filter: keep rows matching criteria arrange: reorder rows mutate: add new variables summarise: reduce variables to values
- 11. Tableau Hands-On
- 12. Learn More Tableau Video tutorials R Universe TryR interactive tutorial Tidy Data (tidyr) Data Manipulation (dplyr) Graphing & Visualization (ggvis) Python Universe Data Manipulation (Pandas) Graphing & Visualization (matplotlib)