Sales performance dashboard
Clean a sample sales dataset, reconcile revenue, and build an interactive dashboard with product and regional views.
← All courses
Data & analytics
AI Integrated Data Analytics
Build strong analytics fundamentals and use AI to accelerate the work. Turn spreadsheets and databases into trustworthy dashboards, clear insights, and business recommendations.
Beginner friendly8 modules3 portfolio projects
YOUR STARTING POINT
Is this your next step?
Who it’s for
Graduates, aspiring analysts, working professionals, and business teams.
Before you begin
Basic computer and spreadsheet familiarity. No prior programming required; Python and SQL begin with the foundations.
THE LEARNING PATH
From foundations to practice.
01Business questions and data literacy
Define KPIs, understand data types and grain, ask useful questions, and recognise bias and missing context.
02Excel for practical analysis
Use formulas, lookup functions, tables, pivot tables, charts, and reconciliation checks.
03SQL foundations and analysis
Filter and aggregate data, join tables, use common table expressions and window functions, and validate totals.
04Python and pandas
Load datasets, clean columns, handle missing values, combine tables, and create reproducible exploratory analyses.
05Statistics for decisions
Interpret distributions, sampling, correlation, uncertainty, and experiment results without overstating causation.
06Power Query and data modelling
Connect sources, profile and transform data, create a star schema, and understand relationships and refresh.
07Power BI and storytelling
Define DAX measures, choose useful visuals, add filters, and build an accessible dashboard that answers a business question.
08AI-assisted analytics and capstone
Use AI to draft queries, formulas, and narratives; test outputs, protect sensitive data, and present evidence-backed recommendations.
LEARN BY BUILDING
Work worth showing.
Customer and operations analysis
Use SQL and Python to explore retention or delivery performance, documenting assumptions and data quality findings.
AI-assisted insight report
Create an analysis notebook, dashboard, and management brief. Show which AI suggestions were accepted or corrected.
What happens next?
How do I join a batch?
Contact the academy to discuss your experience, the learning format, and the next available batch.
Is placement assistance available?
Ask about resume guidance, portfolio preparation, mock interviews, and job-search support for your chosen course. Placement assistance does not guarantee employment.
Do I need separate tool accounts?
Some practical exercises use external tools or cloud accounts. The academy can explain the setup needed for your batch before you begin.
Explore the technology
Official resources for further learning.
Microsoft Learn — Get started with data analytics ↗Microsoft Learn — Prepare data for analysis ↗YOUR NEXT CHAPTER
A good place to start?
A conversation.
Tell us where you are and where you want to go.
We’ll help you explore the right course.