Six modules built around practical data tasks.
Move in sequence or focus on the topics you need. Each module combines a short explanation, a worked example, a hands-on exercise and a review checklist.
Exercises are built to look like the files people actually work with.
Expect spreadsheets with inconsistent labels, compact reporting tables, simple chart prompts and small datasets that reward careful checking rather than speed.
Spreadsheet fluency for everyday work
Tables, references, SUMIFS-style logic, basic lookups, filters, validation and clear worksheet structure. Exercises use realistic inventories, schedules and reporting tables.
Cleaning and preparing practical datasets
Find duplicates, normalize labels, standardize dates, separate combined fields, inspect missing values and keep a short cleaning log.
Reading numbers without over-interpreting them
Percent change, averages, rates, totals, simple distributions and comparison traps. The emphasis is on explaining what the data supports—and what it does not.
Clear charts for common business questions
Choose between bar, line and distribution charts; write useful titles; format axes; reduce clutter; and avoid designs that exaggerate differences.
Introductory dashboard thinking
Define a small set of measures, place them in a readable layout, include comparison periods and add notes so readers understand the context.
Digital workplace systems that stay understandable
File naming, shared folders, repeatable templates, version notes and handoff documentation for common remote-work routines.
Every lesson ends with something you can inspect.
- A small source file or scenario
- A defined task and expected output
- A worked example with reasoning
- A learner exercise without hidden steps
- A review checklist and optional extension task