IT learning / Power BI
Power BI.
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Subject outline
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This outline preserves the subjects listed on our existing course page. It is not a confirmed schedule or a guarantee of course availability, certification or placement.
- Introduction to Power BI
- Power BI Desktop and Data Transformation
- Data Analysis Expression (DAX)
- Data Visualization
- Power BI Service
- Connectivity Modes
- Power BI Report Server
- R & Python in Power BI
- Advanced Analytics in Power BI
- In-Class Hands-On
- Added Features
- Interview Preparation
Introduction to Power BI
- Installation of Power BI
- Concepts of Business Intelligence
- Power BI installation
Power BI Desktop and Data Transformation
- Data Cleaning using Power BI query editor
- Creating Measures
- Transform, Clean, Shape, and Model Data for further analysis
- Data transformation using the query editor
- Shaping data with measures
- Managing Data Relationships
Data Analysis Expression (DAX)
- Creating Calculated Columns and Measures
- Performing Data Analysis using DAX
- Data Analysis using DAX
- Creating Calculated Measures and Columns
Data Visualization
- Creating different visuals
- Creating cards, measures, KPI, reference line, and slicers
- Visuals in Power BI
- Report creation
- Visuals modification
- Z-order and KPI in visuals
Power BI Service
- Creating reports and dashboard
- Publishing reports on Power BI Service
- Using Power BI Service for operations on reports
- Report and dashboard creation
- Designing stories with dashboards
Connectivity Modes
- Setting Up On-Premise Data Gateway
- Connecting Power BI with SQL Server Database
- Connecting Reports on Power BI Service with Local Data Files
- On-Premise Data Gateway
- Connecting Power BI with Databases
- Connecting Power BI Service with Local Data Sources
Power BI Report Server
- Setting Up Power BI Report Server
- Using Power BI Report Server for Publishing Reports
- Implementing Row Level Security
- Power BI Report Server
- Publishing reports on Report Server
R & Python in Power BI
- Demonstrate connecting R and Python in Power BI
- Using R and Python for data analysis
- Data cleaning and transformation
- Python and R scripts
- Power BI integration
Advanced Analytics in Power BI
- Connecting with Power BI service
- Creating dataflow
- Creating scorecard
- Data flow creation
- Anomalies detection
- Smart Narrative implementation
Added Features
- Resume Preparation
- Resume Preparation Tips
- Sample Resumes
- Soft copy of Notes for each module
- 4 case studies on use case diagrams
- 2 Real-time project specifications
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