This schedule is subject to change, so please check it regularly. We will notify the class of changes that affect the upcoming week or any other major changes…
| Week | Topic(s) | Reading |
|---|---|---|
| 1 | What is Data Science? Getting started with R and RStudio |
ADS, Ch. 1–3 EDAS, Ch. 1, 2 RPDS, Ch. 4–5 UGR, Sec. 4 Intro to RStudio |
| 2 | Fundamentals of R Reproducible analyses |
EDAS, Ch. 12 RPDS, Ch. 5, 11, 14, 15 UGR, Sec. 4, 5, 9, 10 R Markdown Guide |
| 3 | Manipulating and tidying data | EDAR, Ch. 2 EDAS, Ch. 3–4 RPDS, Ch. 10, 13 Note: EDAR Ch. 2 = RPDS Ch. 13 |
| 4 | Getting data in and out of R Exploring and visualizing data (part 1) |
ADS Ch. 4 EDAR, Ch. 3–9 EDAS, Ch. 5, 10, 11 RPDS, Ch. 6, 7 |
| 5 | Exploring and visualizing data (part 2) | EDAR, Ch. 13–14 Recommended: OIS Ch. 3 |
| 6 | Random variables | OIS Ch. 3 |
| 7 | Statistical inference | ADS, Ch. 5–6 OIS Ch. 4 |
| 8 | Simple statistical tests and estimation | EDAS, Ch. 6 OIS, Ch. 5–6 |
| 9 | Regression and modeling (part 1) | ADS, Ch. 7 EDAS, Ch. 8, 9, 13 OIS, Ch. 7 |
| 10 | Regression and modeling (part 2) | OIS, Ch. 8 |
| 11 | Prediction | ADS, Ch. 8–9 EDAS, Ch. 7 Intro Stat Learning, Ch. 2 |
| 12 | Clustering and dimension reduction | EDAR, Ch. 10–12 |
| Abbreviation | Full Title |
|---|---|
| ADS | The Art of Data Science |
| EDAR | Exploratory Data Analysis with R |
| EDAS | The Elements of Data Analytic Style |
| OIS | OpenIntro Statistics |
| RPDS | R Programming for Data Science |
| UGR | The Undergraduate Guide to R |
Several of our books do not have the chapters numbered. Here are the chapter numbers corresponding to each chapter title.
| Chapter | Title |
|---|---|
| 1. | Data Analysis as Art |
| 2. | Epicycles of Analysis |
| 3. | Stating and Refining the Question |
| 4. | Exploratory Data Analysis |
| 5. | Using Models to Explore Your Data |
| 6. | Inference: A Primer |
| 7. | Formal Modeling |
| 8. | Inference vs. Prediction: Implications for Modeling Strategy |
| 9. | Interpreting Your Results |
| 10. | Communication |
| 11. | Concluding Thoughts |
| 12. | About the Authors |
| Chapter | Title |
|---|---|
| 1. | Getting Started with R |
| 2. | Managing Data Frames with the dplyr package |
| 3. | Exploratory Data Analysis Checklist |
| 4. | Principles of Analytic Graphics |
| 5. | Exploratory Graphs |
| 6. | Plotting Systems |
| 7. | Graphics Devices |
| 8. | The Base Plotting System |
| 9. | Plotting and Color in R |
| 10. | Hierarchical Clustering |
| 11. | K-Means Clustering |
| 12. | Dimension Reduction |
| 13. | The ggplot2 Plotting System: Part 1 |
| 14. | The ggplot2 Plotting System: Part 2 |
| 15. | Data Analysis Case Study: Changes in Fine Particle Air Pollution in the U.S. |
| 16. | About the Author |
| Chapter | Title |
|---|---|
| 1. | Stay in Touch! |
| 2. | Preface |
| 3. | History and Overview of R |
| 4. | Getting Started with R |
| 5. | R Nuts and Bolts |
| 6. | Getting Data In and Out of R |
| 7. | Using the readr Package |
| 8. | Using Textual and Binary Formats for Storing Data |
| 9. | Interfaces to the Outside World |
| 10. | Subsetting R Objects |
| 11. | Vectorized Operations |
| 12. | Dates and Times |
| 13. | Managing Data Frames with the dplyr package |
| 14. | Control Structures |
| 15. | Functions |
| 16. | Scoping Rules of R |
| 17. | Coding Standards for R |
| 18. | Loop Functions |
| 19. | Regular Expressions |
| 20. | Debugging |
| 21. | Profiling R Code |
| 22. | Simulation |
| 23. | Data Analysis Case Study: Changes in Fine Particle Air Pollution in the U.S. |
| 24. | About the Author |