Power BI

Module 1


1. Introduction to Power BI - Need, Importance

  • Power BI - Advantages and Scalable Options
  • History - Power View, Power Query, Power Pivot
  • Power BI Data Source Library and DW Files
  • Cloud Collaboration and Usage Scope
  • Business Analyst Tools, MS Cloud Tools
  • Power BI Installation and Cloud Account
  • Power BI Cloud and Power BI Service
  • Power BI Architecture and Data Access
  • On-premise Data Access and Microsoft On Drive
  • Power BI Desktop - Installation, Usage

Module 2


2. Power Query & M Language - Part 1

  • Power Query & M Language - Part 1
  • Understanding Power Query Editor - Options
  • Power BI Interface and Query / Dataset Edits
  • Working with Empty Tables and Load / Edits
  • Empty Table Names and Header Row Promotions
  • Undo Headers Options. Blank Columns Detection
  • Data Imports and Query Marking in Query Editor
  • JSON Files & Binary Formats with Power Query
  • JavaScript Object Notation - Usage with M Lang.
  • Applied Steps and Usage Options. Revert Options
  • creating Query Groups and Query References. Usage
  • Query Rename, Load Enable and Data Refresh Options
  • Combine Queries - Merge Join and Anti-Join Options
  • Combine Queries - Union and Union All as New Dataset
  • M Language: Nested Join and Join Kind Functions
  • REPLACE, REMOVE ROWS, REMOVE COL, BLANK - M Lang
  • Column Splits and Filled Up / Filled Down Options
  • Query Hide and Change Type Options. Code Generation Class

Module 3


3. Power Query & M Language 2

  • Invoke Function and Freezing Columns
  • Creating Reference Tables and Queries
  • Detection and Removal of Query Datasets
  • Custom Columns with Power Query
  • Power Query Expressions and Usage
  • Blank Queries and Enumeration Value Generation
  • M Language Semitics and Syntax. Transform Types
  • IF..ELSE Conditions, Transform Column() Types
  • Remove Columns (), Split Columns (), Replace Value ()
  • Table.Distinct Options and GROUP BY Options
  • Table.Group(), Table.Sort() with Type Conversions
  • PIVOT Operation and Table.Pivot(). List Functions
  • Using Parameters with M Language (Power Query Editor)
  • Advanced Query Editor and Parameter Scripts
  • List Generation and Table Conversion Options
  • Aggregations using PowerQuery & Usage in Reports
  • Report Generation using Web Pages & HTML Tables
  • Reports from Page collection with Power Query
  • Aggregate and Evaluate Options with M Language
  • Creating high-density reports, ArcGIS Maps, ESRI Files
  • Generating QR Codes for Reports
  • Table Bars and Drill Thru Filters Class

Duration Course

  • 3 Months