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The book equips students with the end-to-end skills needed to do data science. That means gathering, cleaning, preparing, and sharing data, using statistical models to analyse data, writing about the results of those models, drawing conclusions from them and putting the model into production.
The book equips students with the end-to-end skills needed to do data science. That means gathering, cleaning, preparing, and sharing data, using statistical models to analyse data, writing about the results of those models, drawing conclusions from them and putting the model into production.
Dr. Rohan Alexander is an assistant professor at the University of Toronto, jointly appointed in the Faculty of Information and the Department of Statistical Sciences. He is also the assistant director of CANSSI Ontario, a senior fellow at Massey College, a faculty affiliate at the Schwartz Reisman Institute for Technology and Society, and a co-lead of the DSI Thematic Program in Reproducibility. He holds a PhD in Economics from the Australian National University with a focus on economic history.
1. Telling stories with data 2. Drinking from a fire hose 3. Reproducible workflows Part 1. Foundations 4. Writing research 5. Static communication Part 2. Communication 6. Farm data 7. Gather data 8. Hunt data Part 3. Acquisition 9. Clean and prepare 10. Store and share Part 4. Preparation 11. Exploratory data analysis 12. Linear models 13. Generalized linear models 14. Causality from observational data 15. Multilevel regression with post-stratification 16. Text as data 17. Concluding remarks
| Erscheinungsjahr: | 2023 |
|---|---|
| Genre: | Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Buch |
| Seiten: | 598 |
| Inhalt: | Einband - fest (Hardcover) |
| ISBN-13: | 9781032134772 |
| ISBN-10: | 1032134771 |
| Sprache: | Englisch |
| Einband: | Gebunden |
| Autor: | Alexander, Rohan |
| Hersteller: | Taylor & Francis Ltd |
| Maße: | 258 x 182 x 34 mm |
| Von/Mit: | Rohan Alexander |
| Erscheinungsdatum: | 27.07.2023 |
| Gewicht: | 1,422 kg |
Dr. Rohan Alexander is an assistant professor at the University of Toronto, jointly appointed in the Faculty of Information and the Department of Statistical Sciences. He is also the assistant director of CANSSI Ontario, a senior fellow at Massey College, a faculty affiliate at the Schwartz Reisman Institute for Technology and Society, and a co-lead of the DSI Thematic Program in Reproducibility. He holds a PhD in Economics from the Australian National University with a focus on economic history.
1. Telling stories with data 2. Drinking from a fire hose 3. Reproducible workflows Part 1. Foundations 4. Writing research 5. Static communication Part 2. Communication 6. Farm data 7. Gather data 8. Hunt data Part 3. Acquisition 9. Clean and prepare 10. Store and share Part 4. Preparation 11. Exploratory data analysis 12. Linear models 13. Generalized linear models 14. Causality from observational data 15. Multilevel regression with post-stratification 16. Text as data 17. Concluding remarks
| Erscheinungsjahr: | 2023 |
|---|---|
| Genre: | Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Buch |
| Seiten: | 598 |
| Inhalt: | Einband - fest (Hardcover) |
| ISBN-13: | 9781032134772 |
| ISBN-10: | 1032134771 |
| Sprache: | Englisch |
| Einband: | Gebunden |
| Autor: | Alexander, Rohan |
| Hersteller: | Taylor & Francis Ltd |
| Maße: | 258 x 182 x 34 mm |
| Von/Mit: | Rohan Alexander |
| Erscheinungsdatum: | 27.07.2023 |
| Gewicht: | 1,422 kg |
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