POWER BI
POWER BI
Our Power BI course is designed to provide you with comprehensive knowledge and hands-on experience in using Power BI for data visualization and business intelligence. This course covers everything from the basics of Power BI to advanced techniques for creating interactive reports and dashboards.
Overview of Power BI: Understanding the components and ecosystem (Power BI Desktop, Service, and Mobile)
Getting Started: Installing Power BI Desktop and exploring the interface
Connecting to Data Sources: Importing data from various sources (Excel, SQL Server, web, etc.)
Data Loading and Transformation: Using Power Query Editor for data cleaning and preparation
Understanding Data Models: Basics of data modeling and relationships
Creating Relationships: Defining relationships between tables
Calculated Columns and Measures: Using DAX (Data Analysis Expressions) for calculations
Hierarchies and Drill-Downs: Setting up hierarchies for data exploration
Creating Visuals: Introduction to different types of visuals (charts, tables, maps, etc.)
Customizing Visuals: Formatting and customizing visuals for better insights
Interactive Reports: Adding slicers, filters, and drill-through actions
Using Themes and Templates: Applying and customizing report themes
DAX Basics: Understanding DAX syntax and functions
Time Intelligence Functions: Using DAX for time-based calculations
Advanced Calculations: Creating complex measures and calculated columns
Optimization Techniques: Best practices for writing efficient DAX code
Publishing Reports: Uploading and sharing reports on Power BI Service
Creating Dashboards: Building and customizing dashboards
Collaborative Features: Workspaces, sharing, and collaborating on reports
Data Refresh and Scheduling: Setting up automatic data refresh schedules
Mobile App Overview: Exploring the Power BI Mobile app interface
Optimizing Reports for Mobile: Designing reports for mobile viewing
Interactivity on Mobile: Using touch features and mobile-specific functionalities
Custom Visuals: Importing and using custom visuals from the marketplace
R and Python Integration: Using R and Python scripts for advanced analytics and custom visuals
Advanced Charting Techniques: Creating advanced visuals like waterfall, funnel, and gauge charts
Geospatial Analysis: Using map visuals and integrating with ArcGIS
Power BI Publisher for Excel: Creating and sharing Excel reports in Power BI
Analyzing Power BI Data in Excel: Connecting Excel to Power BI datasets
Power Pivot and Power Query: Leveraging Excel features within Power BI
Row-Level Security (RLS): Implementing RLS to restrict data access
Data Security Best Practices: Ensuring data privacy and security in Power BI
Admin Portal Overview: Managing Power BI settings and user permissions
Report Performance: Techniques for improving report performance
Data Model Optimization: Best practices for optimizing data models
Query Performance: Tips for writing efficient queries and DAX expressions
Case Studies: Applying Power BI techniques to real-world business scenarios
Project Work: Hands-on projects to reinforce learning and practical application
Best Practices: Tips and tricks for creating effective and efficient Power BI reports
Review Sessions: Comprehensive review of all course content
Practice Exams: Mock exams to prepare for certification
Certification Guidance: Tips for successfully passing Power BI certification exams
By the end of this course, you will have a solid foundation in using Power BI for data analysis and visualization. You will be able to create interactive reports and dashboards, perform advanced data analysis using DAX, and leverage the full capabilities of Power BI for business intelligence. This course will equip you with the skills needed to become proficient in Power BI and make data-driven decisions confidently.