Power BI Online Training Ameerpet Hyderabad

Introducing Power BI

  1. Business Intelligence
  2. Self Service Business Intelligence
  3. SSBI Tools
  4. What is Power BI
  5. Why Power BI?
  6. Key Benefits of Power BI
  7. Flow of Power BI
  8. Components of Power BI
  9. Architecture of Power BI
  10. Building Blocks of Power BI
  11. Introduction to Power Query, Power Pivot , Power View, Power Map, Power BI Q&A
  12. power bi online training Ameerpet Hyderabad

Getting Data

  1. Databases(SQL Server, Oracle ,…)
  2. Files
  3. Web and Other Sources

 Power BI Desktop

  1. Overview of Power BI Desktop
  2. Data Sources in Power BI Desktop
  3. Connecting to a data Sources
  4. Query Editor in Power BI
  5. Clean and Transform your data with Query Editor
  6. Combining Data – Merging and Appending
  7. Cleaning irregularly formatted data
  8. Views in Power BI Desktop
  9. Modeling Data
  10. Manage Data Relationship
  11. Cross Filter Direction
  12. Create calculated tables and measures
  13. Optimizing Data Models
  14. Performing a Lookup on Related Table

Enhancing the Data Model

  1. Defining Hierarchies
  2. Configuring Properties
  3. Defining New Measures

 Data Visualization

  1. Introduction to visuals in Power BI
  2. Charts in Power BI
  3. Matrixes and tables
  4. Slicers
  5. Map Visualizations
  6. Gauges and Single Number Cards
  7. Modifying colors in charts and visuals
  8. Shapes, text boxes, and images
  9. What Are Custom Visuals?
  10. Page layout and formatting
  11. KPI Visuals

 Introduction to Power BI Q&A and Data Insights

  1. Introduction to Power BI Service
  2. Dashboard vs. Reports
  3. Quick Insights in Power BI
  4. Creating Dashboards
  5. Configuring a Dashboard
  6. Power BI Q&A
  7. Ask questions of your data with natural language
  8. Power BI embedded

Data Analysis Expressions

  1. Essential concepts in DAX
  2. Why is DAX important?
  3. DAX Syntax
  4. Data Types in DAX
  5. Calculation Types
  6. DAX Functions
  7. Measures in DAX
  8. DAX Operators
  9. DAX tables and filtering
  10. DAX queries
  11. DAX Parameter Naming
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