Posters
The apprentices have completed their projects and presented their work in a poster session on 26 January 2024. These are the posters they have created, showcasing their progress:
- Farkhunda Ayobi – Data encounter in pre-med: How do mutations in viruses affect their interactions with HLA?
- Catalina Caradja – Data encounter in economics: Exploring the effects of mergers and acquisitions on tech industry stock prices: an event study
- Koen Denekamp – Data encounter in archeology: Archeological data science
- Stavroula Iliadi – Track and course planner for (incoming) UCR students
- Vayona Narekuli – Darkness areas in the Netherlands
- Natalia Serra Antonucci – Major choosing app
Introduction
This page collects all materials related to the 2024 Data Center Apprenticeship program, including workshop materials and other resources that may be helpful for the projects. More information on the program is available on the Data Center Moodle page, including the timing and location of the workshops and requirements for apprentices.
Any interested member of the UCR community may attend the workshops or make use of the materials below; if interested in attending any of the workshops, please self-enroll in the UCR Data Center Moodle course with the enrollment key “Data-Center-1”. We will share any updates to the schedule via Moodle announcements.
Workshop schedule
Below you can find the schedule of the apprenticeship workshops between 8-26 January. Click on a topic to access the workshop materials. Note that the pages are still a work in progress and subject to frequent updates.
| Week | Topic | Time |
|---|---|---|
| 1.1 | Apprenticeship introduction; introduction to R; data wrangling in R | 9:00-14:00 |
| 1.2 | Start on apprenticeship projects (no workshop) | - |
| 1.3 | Working with external data: importing, exporting and merging files with R | 9:00-14:00 |
| 1.4 | Data visualization with ggplot2 | 14:00-18:00 |
| 1.5 | Data visualization with ggplot2 and other packages | 9:00-14:00 |
| 2.1 | Character strings and regular expressions | 10:00-14:00 |
| 2.2 | Introduction to GitHub; good practices in code style and structure | 9:00-14:00 |
| 2.3 | Data scraping from the web and pdf documents in R | 10:00-14:00 |
| 2.4 | Wrangling and visualizing spatial data in R | 13:00-16:00 & 17:00-18:00 |
| 2.5 | Interactive applications with Shiny | 10:00-14:00 |
| 3.1 | Statistics in R: descriptive statistics, regression, classification methods | 10:00-14:00 |
| 3.2 | Text analysis in R | 14:00-18:00 (online, link on Moodle) |
| 3.3 | Advanced treatment of data types and functions in R | 10:00-14:00 |
| 3.4 | Other AI tools | 9:00-14:00 |
| 3.5 | Apprenticeship presentations | 10:00-14:00 |
Projects
Below you can find a list of external resources compiled by the Data Center that you may find helpful when working on your project: