Data Analyst Course
Role-based training with the tools listed on the curriculum: Excel, Power Query, Power BI, DAX, reporting, projects and interview prep.
View course →A practical checklist of what junior analyst roles tend to expect - and how to practise each skill.
| Skill | What it looks like in practice | How to practise |
|---|---|---|
| Excel | Lookups, SUMIFS, pivot tables, clean tables | Excel course |
| Data cleaning | Fix dates, duplicates, inconsistent categories | Power Query |
| Data modeling | Separate facts and dimensions; correct relationships | Data modeling |
| BI and DAX | Measures such as YTD revenue and percent of total | DAX course |
| Visualization | Choosing charts, designing readable pages | Dashboards |
| Statistics basics | Averages vs medians, spread, correlation | Excel data analysis |
Job listings frequently also mention SQL and Python. If your target roles require them, plan to learn them alongside the tools taught here; check the curriculum for what CharterPeak teaches.
Employers respond to proof: two or three projects with a clear problem, a clean dashboard and a short write-up. See project format and resume tips.
Role-based training with the tools listed on the curriculum: Excel, Power Query, Power BI, DAX, reporting, projects and interview prep.
View course →The analytical process in Excel: frame the question, clean and profile data, analyse with pivots and statistics, and present findings.
View course →Power Query, data modeling, DAX, visuals, dashboards and Power BI Service - from first import to a published report.
View course →Tell us your background and goal, and we will suggest the right starting point - Excel, Power BI or the full Excel + Power BI program.