Notes, slides, and practice material from MSAR sessions, organized by topic.
Worked and unworked problem sets for semester revision.
Core definitions, matrix operations, and formulas in one sheet.
Session slides covering common distributions and when to use them.
A one-page walkthrough of choosing and running the right test.
A practical checklist for tidying messy data before analysis.
A small sample dataset for practicing cleaning and analysis.
Step-by-step slides from a past MSAR Excel session.
A workbook of formula exercises used in weekly sessions.
An introduction to the Power BI interface and first dashboard.
A short written guide to planning and building a first dashboard.
A beginner notebook covering pandas basics for analysis.
Common pandas operations for cleaning and exploring data.
Slides from MSAR’s R programming training sessions.
An annotated R script covering common statistical tests.
How to choose the right chart and avoid common mistakes.
A quick-reference guide for cleaner, more honest charts.
Practical advice for building a CV aimed at data-related roles.
A starting list of resources for further study after UR–CST.
MSAR