Duration: 5 days – 35 hrs
Overview
Power BI Mastery course is designed to provide participants with a comprehensive understanding of Power BI, a powerful data visualization and business intelligence tool. Over the course of seven days, participants will learn the fundamentals of Power BI, from data importing and transformation to creating visually appealing reports and dashboards. Through a combination of hands-on exercises, real-world examples, and practical projects, participants will gain the skills needed to confidently leverage Power BI for data analysis and decision-making.
Objectives
- Familiarize yourself with the components of Power BI, including Power BI Desktop, Power BI Service, and Power BI Mobile.
- Data Loading and Transformation.
- Use Power Query Editor to clean, reshape, and transform raw data into a usable format.
- Data Modeling and Relationships.
- Implement calculated columns and measures using Data Analysis Expressions (DAX) for advanced calculations.
- Creating Visualizations.
- Customize visualizations by adjusting formatting, colors, and labels to enhance clarity.
- Building Interactive Reports.
- Add interactivity with filters, slicers, and drill-through actions for deeper analysis.
- Designing Dashboards.
- Design dashboards with a logical flow to tell a cohesive data-driven story.
- Sharing and Collaboration.
- Share content with colleagues and stakeholders, controlling access and permissions.
- Collaborate on reports through comments, annotations, and real-time co-authoring.
- Data Refresh and Security:
- Implement security measures to control access to data, including Row-Level Security (RLS).
- Advanced Data Modeling and DAX:
- Use advanced DAX functions for intricate calculations and analysis.
- Advanced Visualizations and Customization.
- Apply advanced formatting techniques for polished and professional-looking visuals.
- Performance Optimization and Best Practices:
- Apply best practices for report organization, data source management, and performance enhancement.
- Real-World Projects and Application:
- Analyze data, derive insights, and create actionable reports and dashboards.
Audience
- Business Analysts: Professionals who need to analyze business data and transform it into actionable insights to support decision-making.
- Data Analysts: Individuals responsible for gathering, analyzing, and visualizing data from various sources to provide insights to their organizations.
- Data Professionals: Those who want to enhance their skills in data manipulation, transformation, and visualization.
- Report Designers: Individuals looking to create compelling reports and dashboards that effectively communicate insights to stakeholders.
- IT Professionals: Professionals involved in data management, business intelligence, or those responsible for implementing Power BI solutions within their organizations.
- Financial Analysts: Professionals in finance who need to analyze financial data and create interactive reports for forecasting and budgeting.
- Project Managers: Those interested in tracking project performance and presenting project-related insights to stakeholders.
- Marketing Professionals: Individuals involved in marketing analysis, campaign tracking, and customer behavior analysis.
- Sales Professionals: Sales teams aiming to analyze sales data, track performance, and visualize sales trends.
- Educators and Students: Aspiring professionals or students interested in gaining data analysis and visualization skills for their future careers.
- Any Data Enthusiast: Individuals with a keen interest in data analysis, visualization, and business intelligence.
Prerequisites
Basic understanding of data concepts and analysis
Familiarity with Microsoft Excel is helpful but not required
Course Content
Topic 1: Introduction to Power BI
- Overview of Power BI and its components
- Installing and setting up Power BI Desktop
- Connecting to various data sources (Excel, databases, web sources)
- Transforming and shaping data using Power Query
Topic 2: Data Modeling and Relationships
- Understanding data models and relationships
- Creating relationships between tables
- Building a star schema for effective data modeling
- DAX (Data Analysis Expressions) basics for calculations
Topic 3: Data Visualization Fundamentals
- Introduction to Power BI’s visualization tools
- Design principles for effective data visualization
- Creating basic visualizations: bar charts, line charts, pie charts, etc.
- Formatting and customizing visuals for clarity
Topic 4: Advanced Visualizations and Interactivity
- Exploring advanced visualizations: scatter plots, maps, funnel charts, etc.
- Implementing custom visuals and integrating them into reports
- Adding interactivity through slicers, filters, and drill-through actions
- Creating calculated measures and columns using DAX
Topic 5: Power BI Desktop to Power BI Service
- Publishing reports from Power BI Desktop to Power BI Service
- Managing workspaces, datasets, and reports in Power BI Service
- Collaborative features: sharing, collaboration, and commenting
- Creating dashboards and pinning visuals to dashboards
Topic 6: Data Refresh and Security
- Understanding data refresh: on-premises and cloud data sources
- Scheduling automatic data refresh in Power BI Service
- Implementing row-level security for sensitive data
- Managing roles and permissions within Power BI
Topic 7: Advanced Topics and Real-World Projects
- Introduction to Power Query M language for advanced transformations
- Building complex DAX calculations: time intelligence, advanced measures
- Designing end-to-end Power BI solutions for real-world scenarios
- Final project: Creating a comprehensive interactive dashboard from scratch
