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A Journey of Data Science — an interactive training app for people who are new to data: import → clean → visualize → understand, with AI as your assistant and you as the judge.
Developed for WHO data trainings (Global Health Learning Center and country-office sessions), but the content is general: anyone learning data science or starting to use AI assistants at work can use it for self-study.
# install.packages("remotes")
remotes::install_github("shanlong-who/cataScience")library(cataScience)
run_cata()The app opens in your browser. Everything runs locally — no internet connection is needed after installation.
| Module | Content |
|---|---|
| Import | Upload Excel/CSV files, or use the bundled example data |
| Cleaning | Missing data (MCAR/MAR/MNAR, imputation), outliers, text, merging |
| Visualize | 7 chart types with grouping, faceting, and flipping |
| Statistics | Describing data, normal distribution, t-test, regression |
| AI | Prompting levels, prompt gallery, AI-assisted analysis, “When AI gets it wrong” case study, AI safety |
| Quiz | 27 questions with per-session topic filters |
| Training | Instructor playbook, lab script, critique checklist |
The Training → Training guide page inside the app contains a full playbook: a module menu with suggested timings, ready-made agendas (a 3-hour data-science session, a 2-hour AI session, and a full day), and a pre-course checklist for participants.
Participants who do not have R installed can use the portable Windows edition instead — contact the maintainer.
The app source under inst/app/ mirrors the internal
training project; edit content there and re-install to test with
run_cata().
Shanlong Ding — dings@who.int
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.