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Recommended Citation
Dedication
Acknowledgements
About This Textbook
About the Authors
1. Dear Students
2. Course Outline
3. Code of Conduct
4. Academic Integrity
5. Accessibility & Other Classroom Policies
6. Welcome to CIS4020
7. What is Community-Engaged Learning?
8. Setting Expectations
9. Asking Good Questions
10. The Data Science Process
11. Exploring Data
12. Preliminary Data Analysis
13. Statistical Distributions
14. Hypothesis Testing
15. Confidence Intervals & Sampling Distributions
16. Logistic Regression
17. Simple Linear Regression
18. Multiple Linear Regression
19. Poisson Regression
20. Naive Bayes Classifier
21. Support Vector Machines
22. Decision Trees
23. K Nearest Neighbours
24. Term Project
25. Assignment 1
26. Assignment 2
27. Assignment 3
28. Assignment 4
29. Assignment 5
30. K Means
31. Neural Networks
32. Mean-Shift Clustering
33. Gaussian Mixture Models
34. Agglomerative Hierarchical Clustering
35. Working As A Team
36. Ethics & Do No Harm
37. Annotated Bibliographies & Literature Reviews
38. Types of Data & Simulations
39. Data Visualizations
40. Storyboards & Dashboards
41. Science Communication
42. Critiquing Science Communication
43. Critical Reviews
44. Slide Decks
45. R Scripts
Appendix
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Community Engaged Data Science Copyright © 2023 by Daniel Gillis. All Rights Reserved.
