Course Title: Power BI for Data Analysis and Visualization
Duration: 30 - 40 hours
Level: Beginner to Intermediate
Mode: Classroom/Online/OFFLINE
Course Objective:
This course is designed to help students master Microsoft Power BI, enabling them to connect to data sources, transform raw data, and build meaningful visualizations. By the end of this course, students will be equipped to create interactive reports and dashboards that can support data-driven decisions.
Target Audience:
Data analysts, business analysts, and professionals looking to improve their data visualization skills.
Students in engineering, management, and other fields who want to enhance their data analysis capabilities.
Individuals preparing for business intelligence or data analytics roles.
Course Prerequisites:
Basic knowledge of Microsoft Excel.
Familiarity with data concepts is helpful but not mandatory.
Course Modules:
Module 1: Introduction to Power BI
Overview of Power BI and its ecosystem.
Importance of data visualization and business intelligence.
Installing and setting up Power BI Desktop.
Navigating the Power BI interface.
Module 2: Connecting to Data Sources
Understanding data sources and types.
Connecting Power BI to different data sources (Excel, CSV, SQL Server, Web, etc.).
Data loading and initial exploration.
Module 3: Data Transformation with Power Query
Introduction to Power Query and ETL (Extract, Transform, Load) processes.
Cleaning and transforming data (removing duplicates, null values, etc.).
Merging and appending data from multiple sources.
Introduction to DAX (Data Analysis Expressions) basics.
Module 4: Data Modeling
Building relationships between data tables.
Understanding star schema and snowflake schema.
Creating calculated columns and measures using DAX.
Best practices for efficient data modeling.
Module 5: Data Visualization and Basic Reporting
Exploring Power BI visual elements (charts, tables, maps, etc.).
Creating interactive reports with slicers and filters.
Customizing visuals (formatting, color themes, etc.).
Best practices for designing intuitive and effective visualizations.
Module 6: Advanced DAX and Calculations
Deep dive into DAX for more complex calculations.
Creating and using measures, calculated columns, and calculated tables.
Time intelligence functions (Year-to-Date, Month-to-Date, etc.).
Advanced DAX for complex business scenarios.
Module 7: Creating Dashboards
Building interactive dashboards from Power BI reports.
Pinning visuals and reports to dashboards.
Real-time data integration into dashboards.
Best practices for dashboard design and storytelling.
Module 8: Power BI Service and Sharing Insights
Introduction to the Power BI Service (Power BI Online).
Publishing reports and dashboards to the Power BI Service.
Setting up scheduled refreshes and data alerts.
Sharing reports and dashboards with stakeholders.
Module 9: Power BI Embedded and Power BI Mobile
Overview of Power BI Embedded for application integration.
Setting up Power BI Mobile for viewing reports on mobile devices.
Optimizing reports and dashboards for mobile.
Module 10: Practical Project and Certification Preparation
Real-world project: Students work on a project to apply what they’ve learned.
Guidance on preparing for Power BI certification (PL-300: Microsoft Power BI Data Analyst).
Review and wrap-up.
Key Learning Outcomes:
Mastery of Power BI to create data visualizations and business insights.
Ability to transform and model data effectively.
Proficiency in DAX for complex calculations and advanced data analysis.
Skills to design impactful dashboards and reports suitable for business decision-making.
Confidence to share and present data insights within an organization.
Assessment:
Quizzes and hands-on exercises after each module.
A final project to demonstrate the application of Power BI skills.
Certification:
Upon successful completion, students will receive a Power BI Training Certificate from CADSPro Training Center, which can be a valuable asset for job applications and career growth.