Microsoft Power BI Training

Become adept in the concepts of business analytics and data visualizations

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Key Highlights

  • 27 Hours of Live Instructor-led Classes
  • 9 sessions of 3 hours each on Weekends
  • Project on Real-life Case Studies
  • Practical Assignments
  • Lifetime Access to Learning Management System
  • 24x7 Expert Support
  • Course Completion Certificate
  • Online Forum for Discussions

Course Price

$249.00 $499.00

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Available Courses Delivery

This course is available in the following formats:

Course Overview

Microsoft Power BI Training introduces trainees to Power BI Desktop, which helps the user connect to various sources of data, model it, and generate advanced analytical information. The analytics can be visualized to present the data better and deduce insights on this platform.

Course Objectives

  • Ace the concepts of data integration and visualization
  • Learn to use Power View, Power Pivot, Power Map and more
  • Understand Data Analysis Expressions (DAX) and Self-Service Business Intelligence (SSBI)
  • Learn to use Custom Visuals and implement them
  • Become proficient with BI Embedded and Workspace Collection
  • Explore Power BI Q&A
  • Learn to use Content packs, Data Gateways, Power BI Report Serve

Career Benefits

  • Highly sought-after by leading brands for efficient business analytics and insights
  • Better remuneration
  • Make profitable decisions backed by data, for your company/business
  • Create reports and dashboards independent of database administrators and IT staff


  • Learners need proficiency in the fundamentals of Microsoft Excel and Python.

Who should take up?

  • Freshers interested in BI
  • Business Intelligence Manager
  • Business Analysts
  • Data Scientists
  • Project Manager
  • Statisticians and Analysts

Course Content

  • Business Intelligence
  • Self Service Business Intelligence
  • SSBI Tools
  • What is Power BI
  • Why Power BI?
  • Key Benefits of Power BI
  • Flow of Power BI
  • Components of Power BI
  • Architecture of Power BI
  • Building Blocks of Power BI
  • Overview of Power BI Desktop
  • Data Sources in Power BI Desktop
  • Connecting to a data sources
  • Query Editor in Power BI
  • Clean and Transform your data with Query Editor
  • Combining Data ? Merging and Appending
  • Cleaning irregularly formatted data
  • Views in Power BI Desktop
  • Modelling Data
  • Manage Data Relationship
  • Cross Filter Direction
  • Create calculated tables and measures
  • Optimizing Data Models
  • Essential concepts in DAX
  • Why is DAX important?
  • DAX Syntax
  • Data Types in DAX
  • Calculation Types
  • DAX Functions
  • Measures in DAX
  • DAX Operators
  • DAX tables and filtering
  • DAX queries
  • DAX Parameter Naming
  • Introduction to visuals in Power BI
  • Charts in Power BI
  • Matrixes and tables
  • Slicers
  • Map Visualizations
  • Gauges and Single Number Cards
  • Modifying colors in charts and visuals
  • Shapes, text boxes, and images
  • What Are Custom Visuals?
  • Page layout and formatting
  • KPI Visuals
  • Z-Order
  • Introduction to Power BI Service
  • Dashboard vs. Reports
  • Quick Insights in Power BI
  • Creating Dashboards
  • Configuring a Dashboard
  • Power BI Q&A
  • Ask questions of your data with natural language
  • Power BI embedded
  • Introduction to using Excel data in Power BI
  • Exploring live connections to data with Power BI
  • Connecting directly to SQL Azure, HD Spark, SQL Server Analysis Services/ My SQL
  • Introduction to Power BI Development API
  • Import Power View and Power Pivot to Power BI
  • Power BI Publisher for Excel
  • Content packs
  • Introducing Power BI Mobile
  • Report Server Basics
  • Web Portal
  • Paginated Reports
  • Row level Security
  • Data Gateways
  • Scheduled Refresh
  • Resources (Rest API/ SOAP APIs/ URL Access)
  • R Integration in Power BI Desktop
  • R visuals in Power BI
  • R Powered Custom Visuals
  • Creating R visuals in Power BI
  • R Visuals in Power BI Service
  • R Scripts Security
  • Creating visual using Python
  • Learners will be required to create an exhaustive project where they?ll be required to incorporate all their learnings of Power BI.


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