Power BI Course Syllabus
Chapter 1: Introduction to Power BI
1.1 Overview of Power BI
- Introduction to business intelligence and data visualization
- Understanding Power BI components: Power BI Desktop, Power BI Service, Power BI Mobile
- Key features and capabilities of Power BI
1.2 Installation and Setup
- System requirements for installing Power BI Desktop
- Step-by-step guide to installing Power BI Desktop
- Introduction to Power BI Service and signing up for an account
- Navigating the Power BI Service dashboard
Chapter 2: Getting Started with Data in Power BI
2.1 Connecting to Data Sources
- Overview of supported data sources in Power BI
- Connecting to Excel workbooks, CSV files, databases, and cloud services
- Importing data from various sources into Power BI Desktop
2.2 Power Query Editor
- Understanding the Power Query Editor interface
- Data transformation and cleaning techniques
- Merging and appending queries for data consolidation
2.3 Data Preparation Best Practices
- Techniques for handling missing data and data errors
- Data shaping and structuring for optimal analysis
- Introduction to data profiling and data quality assessment
Chapter 3: Data Modeling in Power BI
3.1 Understanding Data Modeling
- Overview of data modeling and its significance in Power BI.
- Key concepts such as tables, relationships, and measures.
- Importance of establishing relationships between tables for effective analysis.
3.2 Data Preparation for Modeling
- Preparing data sources for modeling.
- Techniques for cleaning, transforming, and shaping data for optimal modeling.
- Addressing common data quality issues and ensuring data integrity.
3.3 Creating Relationships between Tables
- Understanding different types of relationships: one-to-one, one-to-many, and many-to-many.
- Establishing relationships between tables using primary and foreign keys.
- Handling relationship ambiguity and resolving conflicts.
3.4 Data Modeling Best Practices
- Best practices for designing efficient and scalable data models.
- Optimizing model performance and minimizing data redundancy.
- Strategies for managing large datasets and improving query performance.
3.5 Implementing Calculated Columns and Measures
- Introduction to calculated columns and measures
- Creating calculated columns using DAX (Data Analysis Expressions)
- Writing DAX measures for aggregations, calculations, and KPIs
3.6 Advanced Data Modeling Techniques
- Advanced data modeling concepts such as role-playing dimensions, parent-child hierarchies, and many-to-many relationships
- Leveraging Power BI features like bidirectional filtering and cross-filtering
- Implementing complex calculations and business logic using DAX functions
Chapter 4: Creating Visualizations
4.1 Overview of Power BI Visualizations
- Introduction to Power BI visualizations gallery
- Types of visualizations: charts, graphs, maps, tables, matrices, cards
- Choosing the right visualization for your data
4.2 Designing Interactive Reports
- Creating basic and advanced visuals in Power BI Desktop
- Adding interactivity with slicers, filters, and drill-throughs
- Formatting and customizing visuals for enhanced presentation
4.3 Building Dashboards
- Designing interactive dashboards in Power BI Service
- Organizing and arranging tiles for optimal dashboard layout
- Configuring dashboard settings and navigation options
Chapter 5: Advanced Data Analysis Techniques
5.1 Advanced DAX Functions
- Understanding context and context transition in DAX
- Implementing advanced DAX functions: CALCULATE, FILTER, ALL, RELATED, etc.
- Applying DAX functions to solve complex data analysis problems
5.2 Time Intelligence Calculations
- Introduction to time intelligence functions in DAX
- Creating date tables and managing date hierarchies
- Implementing common time intelligence calculations: YTD, MTD, QTD, etc.
5.3 Statistical Analysis and Forecasting
- Overview of statistical functions in Power BI
- Conducting basic statistical analysis: mean, median, standard deviation, etc.
- Introduction to forecasting techniques and predictive analytics in Power BI
Chapter 6: Sharing and Collaboration
6.1 Publishing Reports to Power BI Service
- Uploading Power BI Desktop files to Power BI Service
- Configuring datasets, reports, and dashboards for publishing
- Managing access permissions and sharing options in Power BI Service
6.2 Collaboration Features in Power BI
- Collaborating with colleagues through comments and annotations
- Co-authoring reports and dashboards in real-time
- Integrating Power BI with Microsoft Teams and other collaboration tools
Chapter 7: Power BI Mobile App and Personalization
7.1 Exploring the Power BI Mobile App
- Overview of Power BI mobile app features and capabilities
- Installing and configuring the Power BI mobile app on various devices
- Accessing and interacting with reports and dashboards on mobile devices
7.2 Personalizing Dashboards and Reports for Mobile Consumption
- Designing responsive dashboards and reports for mobile viewing
- Optimizing visuals and layouts for small screens
- Configuring mobile-specific settings and navigation options
Chapter 8: Advanced Topics and Best Practices
8.1 Performance Optimization Techniques
- Strategies for optimizing report performance in Power BI Desktop and Service
- Managing data refresh schedules and query performance
- Best practices for designing efficient data models and visuals
8.2 Custom Visuals and Extensions
- Exploring custom visuals marketplace in Power BI
- Installing and using custom visuals in Power BI Desktop
- Creating custom visuals and extensions using Power BI Developer Tools
8.3 Power BI Governance and Security
- Implementing security measures to protect sensitive data in Power BI
- Managing access rights and permissions at the workspace and dataset levels
- Enforcing governance policies and compliance standards within Power BI environment
Chapter 9: Real-World Projects and Case Studies
9.1 Applying Power BI Skills to Real-World Projects
- Hands-on projects demonstrating practical applications of Power BI
- Analyzing real-world datasets and deriving actionable insights
- Solving business challenges and making data-driven decisions using Power BI
9.2 Case Studies and Best Practices
- Examining case studies of successful Power BI implementations
- Learning from best practices and success stories in the industry
- Identifying common pitfalls and challenges in Power BI projects and how to overcome them
Chapter 10: Capstone Project Details: Power BI Dashboard Creation
10.1 Designing Project Requirements
- Define the objectives and scope of the project.
- Identify key stakeholders and gather user requirements.
- Plan the layout and structure of the Power BI dashboard.
10.2 Data Preparation and Modeling
- Collect and prepare data sources for the dashboard.
- Create a data model to support the dashboard requirements.
- Implement calculations and measures to analyze the data effectively.
10.3 Dashboard Design and Development
- Design visually appealing and interactive elements for the dashboard.
- Incorporate slicers, filters, and drill-throughs for user interactivity.
- Fine-tune the dashboard layout and aesthetics for an optimal user experience.
10.4 Testing and Iteration
- Conduct usability testing and gather feedback from stakeholders.
- Iterate on the dashboard design based on user input and testing results.
- Ensure data accuracy, performance, and reliability of the dashboard before final deployment.
