Introduction
Data-driven decision-making is essential for modern organizations, and Business Intelligence (BI) tools like Power BI provide the ability to transform raw data into actionable insights. This training program is designed to equip professionals with hands-on expertise in using Power BI for data visualization, analysis, and reporting.
Participants will learn how to connect, transform, and visualize data, enabling them to automate data aggregation, reduce manual effort, and improve efficiency in reporting processes. Through practical exercises, attendees will develop the skills to create dynamic dashboards and reports that enhance business intelligence capabilities.
Course Objectives
By the end of this training, participants will be able to:
- Understand Business Intelligence (BI) concepts and their impact on decision-making.
- Connect to various data sources and automate data aggregation.
- Use Power Query to clean, transform, and prepare data for analysis.
- Create interactive dashboards and reports using Power BI.
- Implement DAX (Data Analysis Expressions) to perform advanced calculations.
- Apply data modeling techniques to enhance reporting efficiency.
- Share and collaborate on reports using Power BI Service and Power BI Cloud.
Target Audience
This program is designed for professionals who need to work with data and generate business insights, including:
- Business Analysts seeking to improve data visualization and reporting.
- Data Analysts & BI Professionals looking to enhance their Power BI skills.
- Finance & Operations Professionals using BI for financial and operational reporting.
- IT & Data Professionals responsible for managing and analyzing organizational data.
- Project Managers & Decision Makers who rely on data-driven insights.
Training Program Outline
Day 1: Introduction to Business Intelligence & Power BI
- Overview of Business Intelligence (BI) and Data Analytics.
- Understanding Power BI Ecosystem: Power BI Desktop, Power BI Service, and Power BI Mobile.
- Connecting to various data sources (Excel, SQL Server, Web Data, APIs).
- Introduction to Power Query for data transformation.
- Hands-on session: Loading and transforming data in Power BI.
Day 2: Data Cleaning, Transformation, and Modeling
- Data preparation best practices for effective BI reporting.
- Using Power Query Editor to clean and shape data.
- Introduction to Data Modeling and Relationships in Power BI.
- Creating Hierarchies, Calculated Columns, and Measures.
- Workshop: Building a structured data model for real-world datasets.
Day 3: Data Visualization & Report Creation
- Principles of effective data visualization and dashboard design.
- Using charts, tables, slicers, and filters in Power BI.
- Implementing conditional formatting and KPIs.
- Designing interactive dashboards and reports.
- Hands-on session: Building a dynamic Power BI dashboard.
Day 4: Advanced Data Analysis with DAX (Data Analysis Expressions)
- Introduction to DAX and its role in Power BI.
- Creating Calculated Measures and Columns.
- Using time intelligence functions for trend analysis.
- Implementing advanced calculations and aggregations.
- Practical application: Building custom DAX formulas for business scenarios.
Day 5: Power BI Service, Sharing, and Automation
- Introduction to Power BI Service and Power BI Cloud.
- Publishing reports and setting up scheduled data refreshes.
- Collaboration and sharing: Workspaces, apps, and security settings.
- Automating reports with Power Automate and Power BI alerts.
- Final project: Developing a full Power BI solution and presenting insights.
