Data Analytics with Power BI Course

Data Analytics with Power BI Course Outline

Duration: 35 Hours
Level: Intermediate to Advanced
Delivery Mode: Online/Offline
Tools Used: Microsoft Power BI, Excel, SQL Server

Module 1: Introduction to Power BI and Data Analytics

• Overview of Power BI
• What is Data Analytics and How Power BI Fits In
• Power BI vs Excel: Strengths and Use Cases
• Key Features and Components of Power BI
  • Power BI Desktop
  • Power BI Service
  • Power BI Mobile
• Installing Power BI and Initial Setup
• Introduction to Power BI Interface

Module 2: Getting Started with Power BI

• Connecting to Data Sources
  • Importing Data from Excel, CSV, SQL Server, and Other Sources
  • Working with Databases and APIs
• Understanding Power Query and Data Transformation
  • Data Types and Their Importance
  • Basic Data Transformations Using Power Query
  • Removing Duplicates, Handling Missing Data, and Data Cleaning
• Filtering and Sorting Data in Power Query
• Combining Data from Multiple Sources

Module 3: Data Modeling in Power BI

• Introduction to Data Modeling in Power BI
• Creating and Managing Relationships Between Tables
  • One-to-One, One-to-Many, and Many-to-Many Relationships
• Working with Data Models: Star and Snowflake Schema
• Building Calculated Columns and Measures Using DAX
  • Introduction to DAX (Data Analysis Expressions)
  • Basic DAX Functions: SUM, COUNT, AVERAGE, MIN, MAX
  • Logical Functions: IF, SWITCH, AND, OR
  • Aggregating Data Using DAX
• Creating and Managing Hierarchies

Module 4: Data Analysis with DAX (Advanced)

• Time Intelligence Functions in DAX
  • DATEADD, YTD, QTD, MONTH
• Advanced DAX Functions
  • Calculated Tables and Columns
  • Complex Conditional Logic and Nested Functions
  • Using Variables in DAX
  • Filter Functions: ALL, FILTER, CALCULATE
• Managing Data Aggregations and Granularity

Module 5: Data Visualization Techniques in Power BI

• Introduction to Power BI Visuals and Chart Types
  • Basic Visuals: Bar Charts, Line Charts, Pie Charts
  • Table and Matrix Visuals
  • KPI and Card Visuals
  • Waterfall, Funnel, and Tree Maps
• Customizing Visuals: Titles, Labels, Tooltips, and Colors
• Working with Interactive Visuals:
  • Slicers and Filters
  • Drill-Through and Drill-Down
  • Hierarchies in Visualizations
• Conditional Formatting in Visuals
• Using Bookmarks and Selections for Custom Views

Module 6: Building Advanced Dashboards in Power BI

• Building Comprehensive Dashboards with Multiple Visuals
• Using Multiple Pages and Tabs for Large Reports
• Designing Dashboards with Interactive Elements
  • Creating and Managing Slicers
  • Implementing Dynamic Filters and Tooltips
• Using What-If Parameters for Predictive Analysis
• Formatting and Customizing Dashboards for Professional Presentation
• Introduction to Report Themes for Consistency

Module 7: Advanced Power BI Features

• Working with R and Python Scripts in Power BI
• Creating Custom Visuals Using R/Python in Power BI
• Using Power BI with Excel for Complex Analysis
• Advanced Data Modeling Techniques: Relationships, Tables, and DAX
• Optimizing Data Models for Large Data Sets
  • Reducing Data Granularity
  • Performance Optimization Tips

Module 8: Power BI Service and Cloud Integration

• Introduction to Power BI Service: Overview and Key Features
• Uploading Reports and Dashboards to Power BI Service
• Understanding Power BI Workspaces and Collaboration Features
• Sharing Reports and Dashboards with Stakeholders
  • Using Publish to Web vs. Sharing Securely
  • Managing Permissions and Access Control
• Setting Up Scheduled Data Refresh for Reports and Dashboards
• Using Power BI Mobile to View Reports on the Go
• Integrating Power BI with Other Microsoft Services (Teams, SharePoint, etc.)

Module 9: Power BI Security and Performance Optimization

• Implementing Row-Level Security (RLS) in Power BI
• Managing Permissions and Access in Power BI Service
• Performance Tuning and Best Practices for Large Data Models
  • Using DirectQuery and Import Modes
  • Query Reduction Techniques
  • Optimizing Report Load Time
• Diagnosing and Troubleshooting Performance Issues

Module 10: Power BI and Advanced Analytics

• Predictive Analytics with Power BI
• Using Power BI for Advanced Data Analysis: Clustering, Forecasting, and Trend Analysis
• Connecting Power BI to Machine Learning Models
• Using Power BI for Financial and Business Analysis (e.g., Forecasting, Budgeting)
• Integrating with Azure ML and Other Analytics Platforms

Module 11: Creating Interactive Reports for Business Insights

• Creating Custom Dashboards for Specific Business Needs (e.g., Sales, Marketing, Operations)
• Key Metrics and KPIs for Effective Reporting
• Analyzing and Presenting Business Insights Using Power BI
• Developing Data-Driven Decision-Making Dashboards
• Storytelling with Data: How to Present Reports Effectively to Stakeholders

Module 12: Final Project and Assessment

• Capstone Project: Build a Comprehensive Power BI Report/Dashboard
  • Data Preparation, Analysis, and Visualization
  • DAX Calculations, Advanced Visuals, and Interactivity
  • Create and Share the Report Using Power BI Service
• Code Review, Debugging, and Optimization
• Final Exam and Assessment
• Certification from BACT IT Institute of Bangladesh