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Industry-ready Data and BI internship with real-world projects, powered by SQL, Power BI, and Microsoft Fabric, mentored by Microsoft-certified industry experts.
Introduction to Business Intelligence & Analytics
BI project lifecycle & business requirement understanding
Data types, KPIs & analytical thinking
Database fundamentals
OLTP vs OLAP
Introduction to data modeling concepts
Write analytical SQL queries on business datasets
KPI extraction using SQL
Mini SQL-based reporting use case
SELECT, WHERE, ORDER BY
GROUP BY, HAVING
Joins (Inner, Left, Right, Full)
Subqueries
Views & basic stored procedures
Introduction to window functions
Connecting Power BI to SQL databases & flat files
Power Query for data cleaning & transformation
Data modeling & relationships
Cardinality & filter direction
Measures vs Calculated
Columns
Common DAX functions
Time intelligence basics
Standard & custom visuals
Slicers, filters, drill-down, drill-through
Dashboard layout & design best practices
Business storytelling with visuals
Publishing reports to Power BI Service
Workspace creation & management
App creation & content distribution
Dataset refresh types (Manual / Scheduled)
On-premises Data Gateway overview
Personal vs Enterprise gateway
Gateway installation & configuration basics
Secure data refresh architecture
Common gateway issues & troubleshooting
Sharing reports & dashboards
Row-Level Security (RLS) – concept & use cases
Workspace roles & access control
Best practices for enterprise deployment
Build and publish end-to-end Power BI solutions
Configure scheduled refresh using Data Gateway
Implement basic RLS scenarios
Create business-ready dashboards
Overview of Microsoft Fabric architecture
Lakehouse concepts
Data ingestion basics
OneLake overview
Fabric vs traditional BI architecture
Using Fabric Lakehouse as Power BI source
Semantic models in Fabric
Direct Lake concept (overview)
Project documentation
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