iCademy :: Courses

What you'll learn

What will students learn? (Learning Objectives)

By the end of this course, learners will be able to:

Extract and Transform Data: Use Power Query to connect to various sources (Excel, SQL, Web) and perform data cleaning, pivoting, and merging to prepare it for analysis.
Design Robust Data Models: Understand the principles of Star Schema and create relationships between different tables to ensure accurate data filtering and reporting.
Master DAX (Data Analysis Expressions): Write complex formulas to create calculated columns and measures, enabling advanced calculations like Year-over-Year growth and Moving Averages.
Create Interactive Visualizations: Build professional-grade reports using a variety of charts, maps, and slicers, and implement advanced features like drill-throughs and tooltips.
Publish and Collaborate: Manage content in the Power BI Service, set up automated data refreshes, and share interactive dashboards securely with stakeholders.

Course Content

6 sections • 12 lectures • 2min total length

1.1 The Power BI Ecosystem: Overview of Desktop, Service, an

00:17
1.2 Installation: Getting your environment ready.

00:11

2.1 Connecting to Data: Loading Excel and CSV files.

00:14
2.2 The Query Editor: Cleaning data, removing nulls, and cha

00:17

3.1 Table Relationships: One-to-Many vs. Many-to-Many.

00:11
3.2 Schema Design: Creating a Star Schema for better perform

00:16

4.1 Calculated Columns vs. Measures: Knowing when to use whi

00:16
4.2 Common Functions: Learning $SUM()$, $CALCULATE()$, and $

00:13

5.1 Basic Visuals: Bars, Pies, and Lines.

00:12
5.2 Advanced UX: Using Bookmarks, Buttons, and Custom Toolti

00:14

6.1 Publishing: Moving reports to the web.

00:12
6.2 Dashboards vs Reports: Understanding the difference.

00:12

Requirements

Operating System: Microsoft Windows is required (Power BI Desktop does not have a native Mac version). Software: Power BI Desktop (Free to download). Basic Excel Knowledge: Familiarity with Excel formulas and pivot tables is helpful but not mandatory. Beginner Friendly: No prior experience in data science or programming is required. We start from the absolute basics of data loading.

Industrial Training/ Market Trend

Explosive Growth in Self-Service BI: Organizations are moving away from centralized IT reporting. There is a massive demand for employees who can analyze their own data using Power BI without waiting for technical teams.
The "Data-Driven" Mandate: Modern companies (from Retail to Finance) now require "Data Literacy" as a core skill. Knowing how to interpret and present data is no longer optional for management roles.
Integration with AI and Copilot: Microsoft is heavily integrating AI into Power BI. Professionals who can leverage AI-powered insights and "Quick Measure" features are becoming highly sought after.
Migration from Legacy Systems: Many enterprises are migrating from older tools (like Tableau or Qlik) to Power BI due to its seamless integration with the Microsoft 365 ecosystem, creating a constant need for migration specialists.

Description

This course provides a deep dive into the world of Data Analytics using Power BI. You will learn the entire business intelligence workflow: from connecting to diverse data sources and cleaning "messy" data with Power Query, to building complex relational models and writing powerful DAX formulas. Finally, you will master the art of data storytelling by creating stunning, interactive reports that help businesses make data-driven decisions.