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Microsoft Power BI Training

Master Microsoft Power BI with the help of iLearning Class Power BI certification. With the help of online Power BI training from industry professionals, participants in this course may master Power BI construction, workstation, utility, smartphone apps, visualizations, and statistics. You will get a chance to perform functions on multiple long-term projects during our Power BI course. You’ll also get a Power BI textbook from Ms that will help you ace the Microsoft Power BI Data Science professional exam. One of the most well-known BI solutions provided by market leader Microsoft, Power BI primarily aims to help everyone analyze and visualize their data. People who want to learn how to make customized visual reports and use the Power BI tools can take our Power BI course.

Certified Industry Expert Trainers

Instructor Led Live Interactive Training

45+ hours of Intense Learning

Subject mastery with personalised Assignments

24 x 7 Lifetime Support


Microsoft Power BI TrainingCourse Syllabus

The detailed syllabus is designed for freshers as well as working professionals

  • Data Visualization, Reporting
  • Business Intelligence (BI), Traditional BI, Self-Serviced BI
  • Cloud Based BI, On Premise BI
  • Power BI Products
  • Power BI Desktop (Power Query, Power Pivot, Power View)
  • Flow of Work in Power BI Desktop
  • Power BI Report Server, Power BI Service, Power BI Mobile
  • Flow of Work in Power BI / Power BI Architecture
  • A Brief History of Power BI
  • Power BI Desktop Installation
  • Building Blocks of Power BI
  • Datasets, Visualizations, Reports, Dashboards, Tiles
  • Power BI Desktop User Interface
  • Fields Pane, Visualizations pane, Ribbon, Views, Pages Tab, Canvas
  • Overview of Power Query / Query Editor – Extract, Transform & Load Data
  • Connecting to Data Sources, Establish connection to the Excel source
  • Importing Data into Power BI or Query Editor
  • Transforming the Data using Power Query
  • Model the Data using Power Pivot – Relationship View
  • Creating New Measures and New Columns using DAX – Data View
  • Visualizing the Data using Power View and Power Maps – Report View
  • Saving and Publishing the Visuals or Reports
  • Logon to Power BI Service
  • View the Reports in PBI Service and Share the reports
  • Data Transformation, Benefits of Data Transformation
  • Shape or Transform Data using Power Query
  • Overview of Power Query / Query Editor, Query Editor User Interface
  • The Ribbon (Home, Transform, Add Column, View Tabs)
  • Advanced Editor – Complete ETL Code
  • Saving Your Work – Appling ETL Changes – Loading into Power Pivot Model
  • Power Query Conceptually
  • Datatypes, Changing the Datatype of a Column
  • Filters in Power Query
  • Auto Filter / Basic Filtering
  • Filter a Column using Text Filters
  • Filter a Column using Number Filters
  • Filter a Column using Date Filters
  • Filter Multiple Columns
  • Remove Columns / Remove Other Columns
  • Name / Rename a Column
  • Reorder Columns or Sort Columns
  • Add Column / Custom Column
  • Split Columns
  • Merge Columns
  • Transpose Columns
  • Header Row or Use First Row as Headers
  • Keep Top Rows, Keep Bottom Rows
  • Keep Range of Rows
  • Keep Duplicates, Keep Errors
  • Remove Top Rows, Remove Bottom Rows, Remove Alternative Rows
  • Remove Duplicates, Remove Blank Rows, Remove Errors
  • Group Rows / Group By
  • Merge Queries, Merge Queries as New
  • Default Types of Joins / Join Kinds / Merge Type
  • Left Outer (all from first, matching from second)
  • Right Outer (all from second, matching from first)
  • Full Outer (all rows from both)
  • Inner (only matching rows)
  • Left Anti (rows only in first)
  • Right Anti (rows only in second
  • Data Modelling Introduction
  • Relationship, Need of Relationship
  • Relationship Types / Cardinality in General
  • One-to-One, One-to-Many (or Many-to-One), Many-to-Many
  • AutoDetect the relationship, Create a new relationship, Edit existing relationships
  • Make Relationship Active or Inactive
  • Delete a relationship
  • Cross filter direction (Single, Both)
  • What is DAX, Calculated Column, Measures
  • DAX Table and Column Name Syntax
  • Creating Calculated Columns, Creating Measures
  • Calculated Columns Vs Measures
  • DAX Syntax & Operators
  • DAX Operators
  • Date and Time Functions
  • Logical Functions
  • Text Functions
  • Math & Statistical Functions
  • Time Intelligence Functions
  • Report View User Interface
  • Fields Pane, Visualizations pane, Ribbon, Views, Pages Tab, Canvas
  • Visual Interactions
  • Interaction Type (Filter, Highlight, None)
  • Visual Interactions Default Behaviours, Changing the Interaction
  • Filters in Power View
  • Filter Types
  • Visual Level Filters, Page Level Filters, Report Level Filters, Drill Through Filters
  • Basic Filtering, Advanced Filtering, Top N, Relative Date Filtering
  • Numeric field filters, Text field filters, Date and Time field Filters
  • Visualizing Data, Why Visualizations
  • Visualization types, Field Wells
  • Visuals for Filtering, Visualizing Categorical Data,
  • Visualizing KPI Data, Visualizing Tabular Data, Visualizing Geographical Data
  • Leveraging Power BI Custom Visuals
  • Power BI Service Introduction, Power BI Cloud Architecture
  • Creating Power BI Service Account, SIGN IN to Power BI Service Account
  • Publishing Reports to the Power BI service, Import / Getting the Report to PBI Service
  • My Workspace / App Workspaces Tabs
  • DATASETS, WORKBOOKS, REPORTS, DASHBOARDS
  • Working with Datasets, Creating Reports in Cloud using Published Datasets
  • Power BI Datasets Live Connection using Desktop
  • Working with Workbooks, working with Reports, Sharing Reports
  • Dashboards Development
  • Creating Dashboards
  • Pin Visuals and Pin LIVE Report Pages to Dashboard
  • Advantages of Dashboards
  • Interacting with Dashboards
  • Adding Tiles to Dashboards
  • Introduction to Data Gateways
  • How Data Gateways work
  • Connect to an on premise Data Source by using a Data Gateway
  • Download Data Gateway
  • Installing a Data Gateway
  • Types of Gateways
  • On-premises Data Gateway, On-premises Data Gateway (personal mode)


Microsoft Power BI Training FAQs

Learning Power BI is easy. Power BI is appropriate for new users due of its simple user interface. Learning Power BI’s features for experienced users would be simpler for students without prior BI expertise. However, with consistent study and effort, mastering the Power BI Online Course Training developed by our trainer professionals will be simple.

There is a large need for Power BI-skilled individuals in almost every industry, including IT, banking, retail, healthcare, etc. Therefore, people who aren’t sure if it’s a good career option or not, should definitely enrol in 3RI Technologies Microsoft Power BI Training. 

Power BI has overtaken Excel in terms of data visualization due to its exceptional ability to analyses vast volumes of data more quickly and its range of charts, including tables and other visual aids. Additionally, it gives users access to completely customizable dashboards that show all tasks, reports, and data sets. It is obvious that Power BI provides far more insights from data than Excel due to its capacity to handle formulae and data extraction operations on sizable data sets, execute quick experiments with charts and graphs, and via robust dashboards to develop effective strategies.

While Power BI is used to access dashboards and visualise data, Microsoft Excel is frequently utilised for in-depth analytics. Both the structured data models and data model analysis methods offered by Power BI as well as Excel’s Power Pivot are accessible. You may quickly import all of your current queries, data models, and reports from Microsoft Excel to Microsoft Power BI for the purpose of creating interactive dashboards without having to learn a new tool or language. However, Excel’s Power Pivot feature can only be used with Pivot tables, Pivot charts, and standard charts.

Power BI is now the industry leader in Business Intelligence among all BI systems, including SAP, Tableau, SAP Business Objects, Oracle BI, SAS Visual Analytics, IBM Cognos Analytics, BIRT, etc. Professionals with Power BI certification are in high demand in today’s MNCs and larger businesses. Power BI job openings will pay well and give you the opportunity to work for prominent firms. In both India and abroad, demand for Power BI job role is high.