Data Analysis with Power Bi

Course Description

This course offers a detailed exploration of data analysis using Power BI, Microsoft’s robust business analytics tool. Participants will learn how to connect, transform, and visualize data from various sources to create interactive reports and dashboards. The course emphasizes practical skills for data modeling, visualization, and report sharing, empowering participants to turn raw data into actionable insights. Designed for analysts, business professionals, and students, this course ensures proficiency in leveraging Power BI for data-driven decision-making.

Course Objectives

To introduce participants to the fundamentals of Power BI and its applications in data analysis.
To teach participants how to connect and transform data from multiple sources.
To develop skills in creating interactive visualizations and dashboards.
To enable participants to model and analyze data effectively using DAX (Data Analysis Expressions).
To familiarize participants with Power BI tools for report sharing and collaboration.
To equip participants with the ability to use Power BI for business intelligence and strategic planning.

Course Outcomes

Upon completing this course, participants will be able to:

Understand the capabilities of Power BI and its role in business intelligence.
Connect to and clean data from diverse sources using Power Query.
Build robust data models to establish relationships between datasets.
Create interactive and visually appealing dashboards and reports.
Write DAX expressions for advanced data analysis.
Publish and share reports securely within an organization.
Use Power BI to analyze trends, forecast performance, and drive strategic decisions.

Course Aim

The aim of this course is to provide participants with the knowledge and skills necessary to harness the full potential of Power BI for data analysis and reporting. By the end of the course, participants will be able to deliver impactful insights, automate reporting workflows, and contribute to data-driven decision-making within their organizations.

Course Content

Module 1: Introduction to Power BI

Overview of Power BI and its components
Installing and setting up Power BI Desktop
The Power BI workflow: Connect, Transform, Visualize, Share
Understanding business intelligence and analytics

Module 2: Data Connection and Transformation

Importing data from Excel, databases, and web sources
Cleaning and transforming data with Power Query
Merging and appending datasets
Creating calculated columns and tables

Module 3: Data Modeling in Power BI

Understanding data relationships and schemas
Creating and managing relationships between tables
Optimizing data models for performance
Using DAX for calculated measures and columns

Module 4: Data Visualization

Creating various visualizations (charts, tables, maps, etc.)
Customizing visuals for clarity and impact
Using slicers and filters for interactivity
Designing compelling dashboards

Module 5: Advanced Data Analysis with DAX

Introduction to DAX syntax and functions
Aggregations and calculations (SUM, AVERAGE, etc.)
Time intelligence functions for trend analysis
Advanced DAX for hierarchical and conditional analysis

Module 6: Sharing and Collaboration

Publishing reports to Power BI Service
Creating and sharing workspaces
Setting up data refresh schedules
Controlling access with roles and permissions

Module 7: Power BI Tools and Extensions

Using Power BI Mobile for on-the-go reporting
Integrating Power BI with Excel, SharePoint, and Teams
Using Power BI Apps and Templates
Introduction to Power BI Embedded

Module 8: Real-World Applications and Case Studies

Analyzing sales and revenue data
Monitoring marketing campaign performance
Financial forecasting and budgeting
Supply chain and operations analysis

Module 9: Building a Comprehensive Power BI Project

Project planning: identifying objectives and data sources
Data preparation and transformation
Dashboard and report creation
Presenting insights and recommendations