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Power BI Training Institute

Power BI Training Institute in Delhi: Unlock the Potential of Data Visualization with Insta Infotech

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Power BI is an analytics tool developed by Microsoft that turns our bits of unstructured data into Structured Data Reporting for Data Visualization With Data Analysis Process. It consists of the Power BI Desktop, Power BI Service, Architecture & Power BI Reports.

These tools take big data and help your business or organization ask the right questions and receive actionable insights.

Microsoft Power BI proved to be the most effcient data analysis & reporting tool. Power BI takes information from disparate data sources & turns them into custom visuals designed to help an organization not only read the info but get a clear idea of what to do & using that data to make critical ( more importantly, correct) decisions.

Microsoft Power BI is one of the most robust business intelligence platforms available for data modeling. It uses real-time Power BI dashboards to sort through, Visualize and analyze data and derive insights from Excel spreadsheets or also with SQL Database, and SQL Server analysis tabular data and present data from multiple sources, giving businesses a better handle on their customers, operations, and future

MICROSOFT POWER BI BASIC TO ADVANCED LEVEL

  • Introduction to Power BI: What is Power BI
  • Power BI Desktop; The First Experience
  • Introduction to Power BI Components & Tools: Power Query, Power Pivot, Power View.
  • Interacting with Ms-Excel Dashboards.
  • Introduction of Power BI Desktop
  • Getting Data: Excel vs Power BI Desktop & Service
  • What is Power Query: Introduction to Data Mash-Up Engine of Power BI
  • Direct-Query vs Import Data
  • Data Sources in Power BI Desktop Solutions
  • Query Editor & Query Ribbon in Power BI
  • Clean and Transform your data with Query Editor
  • Combining Data – Merging and Appending
  • Views in Power BI Desktop
  • Importing, Transforming, and Loading Data
  • Appending Operations
  • Working with Folders and Files
  • Using Pivot Tables
  • Creating Dashboards and publishing it on Power BI
  • configuring a Dashboard
  • Power BI embedded sheets
  • Edit tile details and add widgets
  • Introduction to Power BI Online
  • Importing Data
  • Creating Reports
  • Configuring Dashboards
  • Sharing Reports and Dashboards
  • Exploring Power BI Mobile
  • Options for Publishing from Excel
  • Pin Excel Elements to Power BI (MS-EXCEL)
  • Analyze in Excel (Power BI Pro or Premium)
  • Excel Publish: Upload and Export to Power BI
  • Sharing Published Excel Dashboards (Power BI Pro or Premium)
  • Describe the Power BI ecosystem
  • Define Power BI and its relationship with Excel
  • Discuss the Power BI suite of products
  • Describe how the Power BI products integrate
  • Explain the typical analytics process
  • Differentiate between the various data sources
  • Connect Power BI to a data source
  • Clean and transform data to ensure data quality
  • Load the data to the Power BI Data Model
  • Why relationships in Power BI
  • one-to-many, many-to-one, many-to-many, and one-to-one relationships
  • What is the direction of the relationship?
  • role-playing dimension and inactive relationships
  • relationships based on multiple columns
  • Choosing the Date Table: Built-in or Customized Date Table
  • Mark as Date Table
  • Year to Date, Quarter to Date
  • Fiscal Year to Date
  • Same Period Last Year
  • Year over Year Comparison
  • Parallel Period vs Same Period Last Year vs DateAdd
  • Running Total
  • Rolling 12 Month Sales
  • Average 12 Month Sales
  • Rolling 6 Months
  • Flexible time banding
  • Time zone consideration in Power BI
  • Essential concepts in DAX
  • Why is DAX important
  • DAX Syntax & DAX Operators
  • Data Types in DAX
  • Ranking and rank over groups
  • Filter and evaluation context & interactions
  • Calculation Types
  • DAX Functions
  • Measures in DAX
  • DAX tables and filtering
  • DAX queries
  • Create simple and compound measures
  • Schema relations & Star schema design
  • DAX Parameter Naming
  • how to connect data sources
  • create interactive dashboards
  • Introduction to using Excel data in Power BI
  • Exploring live connections to data with Power BI
  • Connecting directly to SQL Server Analysis Services/ My SQL
  • Introduction to Power BI Development API
  • Import Power View and Power Pivot to Power BI
  • Data caching and refresh
  • Creating Reports
  • Utilizing the Matrix Visualization
  • Utilizing the Map Visualization
  • Utilizing the Card Visualization
  • Utilizing the Chart Visualization
  • Utilizing Slicers
  • Publishing to Power BI Online
  • Power BI Desktop Visualization
  • Formatting Visuals in Power BI Desktop
  • Basic Charts and Visuals in Power BI
  • Sorting, Filtering, and categorization
  • Custom Visuals in Power BI Desktop
  • Maps and Geo-Spatial Visualization
  • Setting Sort Order
  • Scatter & Bubble Charts & Play Axis
  • Slicers, Timeline Slicers & Sync Slicers
  • Cross Filtering and Highlighting
  • Visual, Page and Report Level Filters
  • Tables, Matrices & Table Conditional Formatting
  • Map Visualizations
  • Custom Report Themes
  • Grouping and Binding
  • Bookmarks & Buttons
  • Introduction to the Power BI Service
  • Standalone Tiles
  • Data Driven Alerts (Power BI Pro/Premium)
  • Quick and Related Insights
  • Report Page Tooltip
  • Controlling the interaction of Visuals in a page
  • Designing Power BI reports for Mobile
  • Grouping and Binning
  • Bookmark; saving the state of a page
  • Buttons; action items
  • Selection pane; visibility control in Power BI
  • Golden triangle; Bookmark, button, and selection pane
  • Color theme or pallets in Power BI
  • Enhance reports to expose highlights
  • Perform advanced analysis
  • Manage datasets
  • Filters
  • Scopes of Filters: Visual Level, Page Level, Report Level
  • Modes of Filtering: Basic, Advanced, Relative, Top N
  • Drill through Page Filter: Creating master-details page scenario in Power BI
  • Slicers
  • Types of Slicers; Date, Text, Number
  • Slicer Formatting
  • Syncing Slicer between Pages
  • Understanding the Issues with Merges
  • Performing Merges
  • Grouping Options
  • Summarizing
  • Calculating
  • Keep/Remove Errors; Troubleshooting report
  • Count Rows
  • Reference/Duplicate
  • Replace Errors
  • Data Type considerations
  • Basic Dashboard or Report Sharing
  • Publish to Online and offline Mode
  • Publish from Power BI Desktop
  • Power BI Embedded; Embedding content into another application
  • Publish Reports to Web
  • Sharing Reports & Dashboards (Power BI Pro/Premium)
  • Workspaces (Power BI Pro/Premium)
  • Power BI Apps; User Environment (Power BI Pro/Premium)
  • Printing, PDFs and Exporting to PowerPoint
  • Export Data from a Visualization
  • Power BI Embedded; Embedding content into another application
  • Comparison of all Sharing methods
  • Sharing Options Summary
  • Row Level Security
  • Dynamic Row Level Security
  • Patterns for Dynamic Row Level Security
  • Manager Level Access
  • Organization Chart Access as Dynamic Row Level Security
  • Profiles and Users; Dynamic Row Level Security
  • Dynamic Row Level Security using SQL Server Analysis Service Live Connection

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