| Time | Activity | |------|----------| | 9:30 – 10:00 | Installation check & login | | 10:00 – 10:30 | Workshop introduction & R basics tutorial | | 10:30 – 10:50 | Assignment 1: Vectors & data types | | 10:50 – 11:10 | Tutorial: Data frames & reading CSV | | 11:10 – 11:30 | Assignment 2: Load & explore data | | 11:30 – 11:45 | Tea break | | 11:45 – 12:05 | Tutorial: Summary statistics | | 12:05 – 12:25 | Assignment 3: Mean, median, sd, summary | | 12:25 – 12:45 | Tutorial: Boxplots & histograms | | 12:45 – 1:15 | Assignment 4: Visualizations | | 1:15 – 2:00 | Lunch | | 2:00 – 2:20 | Tutorial: t-test | | 2:20 – 2:40 | Assignment 5: Hypothesis testing | | 2:40 – 3:10 | Online test | | 3:10 – 3:25 | Lab assignment | | 3:25 – 3:45 | Feedback & certificates |
| Aspect | Details | |--------|---------| | | Students, teachers, researchers, data analysts, anyone needing statistical tools | | Prerequisites | Basic computer literacy (file saving, folder navigation). No prior programming/statistics required for beginner modules. | | Software | Free software: R , Python (with pandas/statsmodels) , Octave , Scilab , or LibreOffice Calc (for basic stats) | workshop statistics spoken tutorial
(For beginners / school-level stats)
The workshop is strictly practical. There is very little theory; the focus is on "learning by doing." This is ideal for software training. By the end of a typical 2-3 hour session, participants have usually created a small project or executed a set of commands that demonstrate a tangible skill. This immediate gratification is a strong motivator for further learning. | Time | Activity | |------|----------| | 9:30
