Week 1 Welcome to DCS 210
Get acquainted with the course, the technology, the workflow, and the skills you will acquire throughout the semester 🧰
Lobster trap by the coast. Photo by Sean Quillen on Unsplash
Tasks
- Complete the readings
- Watch the videos
- Visit the course on Lyceum to join RStudio Cloud
- Complete the Getting to know you survey on lyceum
- Complete the assignments
- Participation in the Extra Credit opportunity is optional, but highly encouraged
Videos
You can access the course videos on YouTube. You can also find a playlists for all course videos on YouTube here.
No. |
Title |
YouTube |
Slides |
Length |
|
|---|---|---|---|---|---|
| 01 | Meet the toolkit: programming | 34:17 | |||
| 02 | Meet the toolkit: version control and collaboration | 11:24 |
Class Activities
Activity |
Title |
Date |
|---|---|---|
| Intro | Welcome to DCS 210! | Tue, 18 Jan |
| Review | Introduction to Rmarkdown, Git and Github | Tue, 18 Jan |
| Lab 1 | Hello DCS! | Thu, 20 Jan |
Assignments
Note: This week’s programming 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.
Assignment |
Title |
Due |
|---|---|---|
| Due this week | ||
| Q 00 | Syllabus data | Sun, 16 Jan, 23:59 EST |
| R 01 | Data Science By Whom? | Fri, 21 Jan, 23:59 EST |
| Due next week | ||
| Lab 01 | Hello DCS! | Wed, 26 Jan, 23:59 EST |
| HW 01 | Pet names | Fri, 28 Jan, 23:59 EST |
| Q 01 | Visualizing Data | Sun, 30 Jan, 23:59 EST |
Readings
| 📄 | Course syllabus | Required |
| 📖 | R4DS: Chp 2, Introduction | Required |
| 📖 | IMS: Chp 1, Sec 1.1 and 1.2 | Required |
| 📄 | How to read an R help page | Optional |
| 📄 | rOpenSci’s Reproducibility Guide | Optional |
| 📄 | 1,500 scientists lift the lid on reproducibility | Optional |
| 🖋 | How R changed me as an analyst | Optional |
Interactive R tutorials
The following interactive R tutorials is designed to give you more practice with R. If you’re struggling with any of the topics covered this week, we strongly recommend you work through it.
| Data Visualization Basics | Extra practice |
