Data, AI & Digital Marketing
Data Analytics with Power BI
From raw data to interactive business dashboards.
- Duration
- 40 hrs
- Modules
- 8
- Level
- Degree (UG), PU on request
- Mode
- Online, offline or hybrid
- Certificate
- Skillern course certificate
- Fees
- On request
About this course
Students learn to import, clean and model data in Power BI, write essential DAX measures and design interactive reports that answer business questions.
- 1. Analytics thinking — 4h
- 2. Power BI Desktop and data import — 5h
- 3. Transforming data with Power Query — 7h
- 4. Data modelling — 6h
- 5. DAX essentials — 7h
- 6. Visuals and report design — 6h
- 7. Publishing and sharing — 2h
- 8. Capstone dashboard — 3h
Who it's for
- Degree students, ideally after Advanced Excel
Prerequisites
- Excel basics; Advanced Excel recommended
Curriculum
8 modules, 40 hours standard.
Learning objective
Frame business questions that data can answer.
Hands-on lab
Turn a vague request into three measurable questions.
Topics covered
- Types of data
- Asking the right question
- The analytics workflow
What students can do by the end
- Import, clean and model data
- Write core DAX measures
- Design interactive dashboards
- Present data-driven insights
Career outcomes
- Junior Data Analyst
- MIS Analyst
- Business Analyst (entry)
Tools and software
Microsoft Power BI Desktop, Excel
Signature project
KPI dashboard. An interactive sales dashboard built from raw files.
Assessment and certification
Students who pass receive a Skillern course completion certificate. NSDC and EMax certification are available for eligible courses.
Trainer profile
Data analyst with Power BI experience
Delivery and scheduling
| Format | Schedule |
|---|---|
| Semester (recommended) | About 20 weeks at 2 hours a week |
| Intensive | 7 days at 6 hours a day, or weekend batches |
| School version | Not offered |
| Session length | 2-hour sessions |
Frequently asked questions
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