Master Data Analytics & Business Intelligence
We do not teach tools. We teach professionals how to solve business problems using analytical thinking and industry-standard tools.
6
Months Duration
24
Core Modules
6
Industry Projects
Delivery Platform
YouTube
Long-form Lessons
Live Mentoring
Weekly Sessions
Problem-Based Learning (PBL)
Designed for real-world impact. We focus on the ‘why’ before the ‘how’.
Problem-First Approach
Frame business problems before selecting analytical tools. Tools are introduced only when required to solve a real workplace problem.
Professional Mastery
We teach professionals how to solve business problems using analytical thinking, not just button-clicking in software.
Decision-Grade Output
Focus on building dashboards, executive reports, and automated workflows that drive actual business decisions.
What You Will Achieve
By the end of this 6-month internship, you will be fully equipped to:
Tools Covered
Industry-standard tools introduced contextually to solve real workplace problems.
Microsoft Excel
Data preparation, analysis, reporting
Power Query
Data extraction, cleaning and transformation
SQL
Data retrieval, joins, filtering and aggregation
DAX
Business calculations and KPIs
Power BI
Dashboards, storytelling and executive reporting
A Progressive 4-Level Journey
From data preparation to enterprise analytics, master each stage of the analytics lifecycle.
Theme: Can We Trust This Data?
Goal: Develop the mindset and skills required to understand business problems and prepare reliable data.
- 1. Thinking Like a Data Analyst None / Excel
- 2. Understanding Business Problems & Stakeholders Excel
- 3. Assessing Data Quality Excel
- 4. Cleaning Messy Data Excel, Power Query
- 5. Transforming & Standardizing Data Excel, Power Query
- 6. Combining Data from Multiple Sources Excel, Power Query
Theme: What Is the Data Telling Us?
Goal: Learn to answer real organizational questions using structured analysis.
- 7. Answering Business Questions with Data Excel
- 8. Finding Information Across Multiple Tables Excel, SQL
- 9. Building Business Logic & Decision Rules Excel
- 10. Exploratory Data Analysis Excel
- 11. SQL for Business Intelligence SQL
- 12. Solving Real Business Cases Excel, SQL
Theme: How Do We Turn Data into Decisions?
Goal: Develop professional dashboards and executive reports.
- 13. Introduction to Power BI Power BI
- 14. Data Modelling Power BI
- 15. DAX Fundamentals DAX
- 16. Building Executive Dashboards Power BI
- 17. KPI Design & Performance Reporting Power BI, DAX
- 18. Data Storytelling Power BI
Theme: How Do Professionals Build Scalable Analytics Systems?
Goal: Build repeatable, enterprise-ready analytics solutions.
- 19. Power Query Automation Power Query
- 20. Advanced DAX DAX
- 21. Enterprise Reporting Power BI
- 22. AI-Assisted Analytics AI + Excel + Power BI
- 23. Documentation & Professional Practice All Tools
- 24. Capstone Analytics Project All Tools
Monthly Industry Projects
Hands-on experience across 6 diverse sectors over the 6-month program.
Healthcare
Patient Data Quality Assessment
Human Resources
Workforce Analytics
Retail
Sales Performance Analysis
Banking
Customer Segmentation
NGO
Survey & M&E Analytics
Manufacturing
Inventory Analytics
The Weekly Workflow
Every week follows the same structured, professional workflow to build muscle memory.
Business Brief
Understand the organizational problem
Business Framing
Define objectives, stakeholders & success measures
Data Understanding
Explore the available data
Implementation
Use the appropriate tools
Insight Generation
Answer business questions
Decision Support
Make recommendations
Assignment
Individual practice
Reflection
Lessons learned & portfolio update
Assessment Strategy
A balanced evaluation model focused on practical application and professional readiness.
Core Competencies
Graduates will demonstrate proficiency in:
What You Will Be Able To Do
At the end of the 6-month internship, participants will be able to:
- Understand and frame business problems before selecting analytical tools.
- Prepare, clean and integrate data from multiple sources.
- Retrieve and manipulate data using SQL.
- Perform business analysis using Excel and SQL.
- Build data models and calculations using DAX.
- Develop interactive dashboards in Power BI.
- Present insights and recommendations to decision-makers.
- Automate recurring reporting workflows.
- Work collaboratively on industry-style analytics projects.
- Demonstrate job-ready competence through a professional portfolio.