Week 11 - Looking beyond DCS 210
Looking beyond DCS 210 👀
Captain steering boat. Photo by garrett parker on Unsplash
Tasks
- Work on project/presentation edits
- Work on the tutorials
- Complete the assignments
- Complete the readings
Tutorials
This week we have several guest tutorials from Julia Silge and RStudio on text analysis, supervised machine learning and creating interactive web apps using RShiny.
No. |
Title |
Tutorial |
|||
|---|---|---|---|---|---|
| 1 | Text analysis | ||||
| 2 | Supervised Machine Learning | ||||
| 3 | Interactive web apps |
Assignments
Assignment |
Title |
Due |
|---|---|---|
| Due this week | ||
| Project Write Up | Project write up | Mon, 11 Apr |
| Project Presentations | Project presentation | Tue, 12 Apr |
| Feedback | Course Survey (link coming soon) | Sat, 16 Apr |
| Due next week | ||
| Project | Project edits | Wed, 20 Apr, 23:59 EST |
Readings
There are no required readings this week. The following are suggested readings for learning more about the topics covered in the tutorials.
| 📖 | Chp 1-3 - Text Mining with R | Optional |
| 📖 | Chp 1 - Mastering Shiny | Optional |
| 📖 | Chp 7 - Supervised Machine Learning for Text Analysis in R | Optional |
Tidy Tuesday Text Challenge (Optional)
Analyzing Beyoncé and Taylor Swift Lyrics. The data come from TidyTuesday. TidyTuesday is a weekly social data project for the R community. Read more about TidyTuesday here.
Joining a Global Community
One of the things that makes R special is it’s incredible global community. You may be interested in joining one of these groups to continue your learning journey, build a network, get career advice, and hear about job opportunities.
