Course Aim :
This 10-day Power BI course aims to equip participants with the essential knowledge and skills required to effectively utilize Power BI for data analysis, visualization, and reporting tasks. Through a combination of theoretical concepts, hands-on exercises, and real-world projects, participants will gain a comprehensive understanding of Power BI’s capabilities and develop proficiency to create insightful, interactive reports and dashboards.
Course Objective :
Understand Power BI Fundamentals
Explore various visualization types available in Power BI
Understand best practices for designing visually appealing and informative report
Learn Data Analysis Expressions (DAX) language for data analysis
Learn Power BI Service and Collaboration Features
Gain Practical Experience Through Hands-on Exercises
Apply Best Practices for Report Design and Development
Target Audience :
This course is designed for data analysts, business managers, and professionals seeking to leverage Power BI for insightful data analysis, visualization, and reporting, catering to both beginners and those with some familiarity with data analytics tools.
Course Outline :
Day 1 : Introduction to Power BI Overview of Power BI Understanding Power BI Desktop Installing Power BI Desktop Getting familiar with the Power BI interface Loading data into Power BI Desktop Building your first simple report
Day 2 : Data Import and Transformation Understanding data sources in Power BI Importing data from various sources (Excel, CSV, databases, web) Data transformation techniques using Power Query Editor Cleaning and shaping data for analysis Combining data from multiple sources Hands-on exercises on data import and transformation
Day 3 : Data Modelling in Power BI Introduction to data modelling concepts Understanding relationships in Power BI Creating relationships between tables Data modelling best practices Implementing calculated columns and measures DAX (Data Analysis Expressions) basics Hands-on exercises on data modelling and DAX
Day 4 Visualization Basics Introduction to Power BI visualization Types of visualizations available in Power BI Choosing the right visualization for your data Customizing visualizations (formatting, colors, titles, etc.) Creating basic charts (bar chart, line chart, pie chart, etc.) Adding slicers and filters to your report Hands-on exercises on visualization basics
Day 5 Advanced Visualizations and Interactivity Exploring advanced visualizations (treemaps, histograms, scatter plots, etc.) Implementing drill-down and drill-through functionality Adding interactive elements (buttons, bookmarks, tooltips, etc.) Utilizing custom visuals from the marketplace Best practices for designing visually appealing reports Hands-on exercises on advanced visualizations and interactivity
Day 6 Power BI Service and Sharing Introduction to Power BI Service Publishing reports to Power BI Service Collaborating with colleagues using Power BI workspaces Sharing reports and dashboards securely Setting up row-level security (RLS) Introduction to Power BI mobile app Hands-on exercises on publishing and sharing report
Day 7 Data Refresh and Scheduled Refresh Understanding data refresh in Power BI Configuring scheduled refresh for datasets Troubleshooting data refresh issues Incremental refresh strategies Optimizing data refresh performance Hands-on exercises on configuring data refresh
Day 8 Power BI Integration with Excel and Other Tools Importing Power BI reports into Excel Using Power BI visuals in Excel Integrating Power BI with other Microsoft tools (SharePoint, Teams, etc.) Hands-on exercises on Power BI integration with Excel and other tools
Day 9 Real-world Projects and Best Practices Working on real-world case studies and projects Applying best practices for report design and development Performance optimization techniques Final Project – Build a dashboard from scratch
Day 10 Final Project – Build a dashboard from scratch (Continued) Tips for effective data storytelling Q&A session and wrap-up