Loading
Preparing your next view
Fetching content, finishing layout, and keeping navigation smooth.
Duration
4–6 weeks
Level
Beginner → Intermediate
Mode
Online (Mentor-led)
About this program
Overview
Program snapshot
Learn practical data visualization with Power BI and Amazon QuickSight: dashboards, KPIs, filters, storytelling, and shareable reports.
Prerequisites
- Basic Excel/SQL helpful
What you will be able to do
- Build interactive dashboards and KPI scorecards
- Model data for reporting (relationships, measures)
- Create drill-downs, filters, and slicers
- Publish and share dashboards securely
Module-by-module breakdown
Syllabus
M1Visualization Foundations4 topics - 1 labsOpen module
M1Visualization Foundations
4 topics - 1 labs
Topics
- Dashboard vs report vs story
- Choosing the right chart
- KPIs and business metrics
- Design principles (layout, color, accessibility)
Hands-on / Labs
- Create a KPI dashboard wireframe
M2Power BI Essentials5 topics - 1 labsOpen module
M2Power BI Essentials
5 topics - 1 labs
Topics
- Power BI Desktop overview
- Data import and transformations (Power Query basics)
- Data modeling (relationships)
- Measures and DAX basics
- Slicers, filters, drill-through
Hands-on / Labs
- Build a Power BI dashboard with filters
M3Amazon QuickSight Essentials4 topics - 1 labsOpen module
M3Amazon QuickSight Essentials
4 topics - 1 labs
Topics
- QuickSight datasets and SPICE basics
- Visual types and dashboard controls
- Calculated fields basics
- Sharing and permissions overview
Hands-on / Labs
- Build a QuickSight dashboard with KPIs
Tools & technologies covered
Tech Stack
Visualization
2 tools
Portfolio-ready work
Projects
01
Project: Executive Dashboard
Create a business dashboard with KPIs, drilldowns, filters, and shareable views.
Deliverables
- Dashboard file/link
- KPI definitions
- Short README on data + visuals
Capstone
Capstone: Analytics Storyboard
A complete visualization story with KPI tracking, trend analysis, and stakeholder-ready narrative.