Microsoft Power BI (Data Visualization & Analytics)

Learn how to transform raw data into meaningful insights with Microsoft Power BI. This course covers data modeling, visualization, and reporting techniques, enabling you to create interactive dashboards for informed decision-making.

TEC
Next In Career
Office Automation
Microsoft Power BI

This course is designed to introduce participants to Microsoft Power BI as a powerful self-service business intelligence (BI) and data visualization tool. Participants will learn how to connect, shape, and model data from multiple sources and build interactive, insightful dashboards to support data-driven decision-making in any industry.

Learning Outcomes

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

Understand the fundamentals of Self-Service BI and its advantages in a business context.
Navigate and use Power BI Desktop to build reports and dashboards.
Connect to and transform raw Power BI data into meaningful formats.
Create and enhance interactive data visualizations to support business insights.
Perform data shaping and combining using Power Query Editor.
Build logical data models and create relationships using DAX (Data Analysis Expressions).

Who Should Take This Course?

This course is suitable for :

Business analysts and data professionals looking to develop reporting and dashboarding skills.
Managers and decision-makers who want to gain insights from data.
Excel users aiming to transition into data analytics and visualization.
Anyone interested in using Power BI to tell compelling data stories and support real-time business decisions.

Pre-Requisites

Participants should have :

Basic knowledge of Microsoft Excel (especially in handling tables and basic formulas).
A general understanding of business data and reporting concepts.
No prior Power BI experience is required—this is a beginner-friendly, foundational course.

Module 1: Introduction to Self-Service BI Solutions
- Understanding the role and benefits of self-service business intelligence.
- Overview of the Power BI ecosystem: Desktop, Service, and Mobile.
- Key components and workflow in a Power BI project.

Module 2: Introducing Power BI
- Navigating the Power BI interface and environment.
- Connecting to various data sources (Excel, SQL, web, etc.).
- Understanding datasets, reports, dashboards, and workspaces.

Module 3: Power BI Data and Visualizations
- Module 3: Power BI Data and Visualizations.
- Creating interactive reports and dashboards.
- Customizing visuals and using slicers, filters, and drill-through features.

Module 4: Shaping and Combining Data
- Cleaning and shaping data using Power Query Editor.
- Merging and appending queries.
- Handling errors and ensuring data quality.

Module 5: Data Modeling and Relationships
- Building relationships between tables.
- Creating calculated columns and measures using DAX (Data Analysis Expressions).
- Optimizing models for performance and usability.

Upon successfully passing the examination for this course, participants will be awarded a certificate, an example of which is shown below.

Microsoft Power BI (Data Visualization & Analytics)