Week 1 - Welcome to IDS
Get acquainted with the course, the technology, and the skills you will acquire throughout the semester :toolbox:
Schedule
| Lec 01 | Welcome to Data Science! | |
| Lab 01 | Hello R! | Due: Fri, 20 Sep, 17:00 |
| Lec 02 | Meet the toolkit | |
| HW 01 | Airbnb listings in Edinburgh | Due: Wed, 25 Sep, 17:00 |
| RT 01 | Data Visualization Basics | |
| OQ 01 | Syllabus, data frames, and plotting | Due: Fri, 27 Sep, 17:00 |
Readings
| 📖 | R4DS: Chp 2, Introduction | Required |
| 📖 | OS: Chp 1, Sec 1.1 and 1.2 | Required |
| 📄 | How to read an R help page | Required |
| 📄 | rOpenSci’s Reproducibility Guide | Optional |
| 📄 | 1,500 scientists lift the lid on reproducibility | Optional |
| 🖋 | How R changed me as an analyst | Optional |
Miscellaneous
| 🔘 | Take survey: Getting to know you | Due: Wed, 18 Sep, 20:00 |
| 💬 | Sign up: Piazza | |
| 📄 | Read: Syllabus |
Note
This week’s assignments will not be marked, they are provided as practice and to help you get acquainted with the material without the pressure of grades. Formative feedback will be provided. Even though there is no penalty for not completing them, you are urged to complete them so that you are prepared for next week and beyond.
