power bi training institutes in hyderabad

power bi training institutes in hyderabad
4 min read

POWER BI

POWER BI course: Microsoft’s Power BI is a business investigation administration. It intends to provide intuitive visualisations and business intelligence capabilities using an interface that is simple enough for end users to create their own reports and dashboards. V Cube Software Solutions is one of the top organizations in Hyderabad for Power BI Training. Get you Power BI Training in kukatpally Now

Duration: 45 days power bi training institutes in hyderabad

COURSE STRUCTURE

Power BI Complete Introduction

  • Power BI Introduction, Brief History of Power BI, Data, Data Visualization, Reporting, Business Intelligence (BI), Traditional BI, Self-Serviced BI, Cloud Based BI, On Premise BI.
  • Power BI Report Server, Power BI Service, Power BI Mobile, Paginated Reports
  • Flow of Work in Power BI / Power BI Architecture
  • Power BI Desktop Installation and Hands on practice

PBI Desktop & Power View Overview

  • Power BI Desktop Components (Power Query, Power Pivot, Power View, Power Map, Q&A, Data Gateway)
  • Building Blocks of Power BI (Fields, Filters, Visualizations, Reports, Data, Model Dashboards and Tiles)
  • Data Connectivity Modes (Import, Direct, Live & Composite Models)
  • Get Data Connecting Multiple source and represent the data
  • Overview of default and Custom visualizations
  • Power BI Desktop User Interface.
  • Fields Pane, Visualizations pane, Ribbon, Views, Pages Tab, Canvas, Visual Edit Interactions, Sync Slicer,
  • Selection Pane, Buttons, Book Marks, Conditional formatting.

Power Query Editor \ Transform Editor

Introduction to Power Query – Extract, Transform and Load (ETL)

  •  The Queries Pane, The Data View / Results Pane, The Query Settings Pane, Formula Bar, Advanced Editor –
  • Complete ETL Code.
  • Overview of Power Query / Transform Editor
  • Data types, Changing the Data type of a Column
  • Filters in Power Query, Auto Filter / Basic Filtering, Filter a Column using Text Filters
  • Filter a Columns using Number, Date and Text

Inbuilt Column Transformations

  • Remove Columns / Remove Other Columns, Name / Rename a Column, Reorder Columns or Sort
  • Columns, Add Column / Custom Column, Split Columns, Merge Columns, PIVOT, UNPIVOT Columns,
  • Transpose Columns, Invoke functions

In built Row Transformations

  • 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

 Combine Queries (Append Queries & Merge Queries) 

  • Append Queries, Append Queries as New, Append 2 or more files individually with different queries,
  • Appending multiple files of same type from a folder using single query, Query Options ,Copy Query, Paste
  • Query, Delete Query, Rename Query, Enable Load, Include in report Refresh ,Duplicate Query, Reference
  • Query, Move to Group, Move Up, Move Down 

Merge Queries / Join Queries

  • 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).

Grouping, Binning & Sorting

  • Grouping and Binning Introduction, Using grouping, Creating Groups on Text Columns, Using binning,
  • Creating Bins on Number Column and Date Columns, Sorting Data in Visuals, Changing the Sort Column,
  • Sort Order, Sort using column that is not used in the Visualization, Sort using the Sort by Column button.

Power Pivot (DAX)

Power BI Data Modeling – Relationship View

  • Data Modeling 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), ♦Assume Referential Integrity

Enhancing the Data Model – DAX

  • Introduction of DAX, Calculated Columns, Measures, Example of Creating Calculated Columns, Creating
  • Measures and Calculated Tables, Implicit Vs Explicit Measures, Row Filter vs. Context filters, DAX
  • Operators, Types of Operators, Arithmetic Operators, Comparison Operators, Text Concatenation
  • Operator, Logical Operators.

DAX Functions Categories

  • Date and Time Functions
  • Text Functions
  • Logical Functions
  • Aggregate Functions
  • Filter Functions
  • Information Functions
  • Relationship Functions
  • Time Intelligence Functions
  • Table Manipulation Functions

Date & Time Functions

  • YEAR, MONTH, DAY, WEEKDAY, WEEKNUM, FORMAT (Text Function) a Month Name, Weekday Name
  • DATE, TODAY, NOW, HOUR, MINUTE, SECOND, TIME,DATEDIFF, CALENDAR, Calendar Auto,            Creating Dimension Table

Text Functions

  • COMBINEVALUES,CONCATENATE,CONCATENATEX,EXACT,FIND,FORMAT,LEFT,LEN,LOWER,REPLACE,RIGH
  • T,SEARCH,SUBSTITUTE,TRIM,UPPER,VALUE

Aggregate Functions

  • AVERAGE, AVERAGEA, AVERAGEX, COUNT, COUNTA, COUNTAX, COUNTBLANK, COUNTROWS, COUNTX,
  • DISTINCTCOUNT, DISTINCTCOUNTNOBLANK ,MAX, MAXA, MAXX, MIN, MINA, MINX, SUM, SUMX.

Filter Functions

  • ALL,ALL CROSS FILTERED,ALL EXCEPT,ALL SELECTED,CALCULATE,CALCULATE TABLE,EARLIER,EARLIEST,
  • FILTER,KEEP FILTERS,LOOKUP VALUE,SELECTED VALUE

Information Functions

  • CONTAINS,HASONEFILTER,HASONEVALUE,ISBLANK,ISCROSSFILTERED,ISEMPTY,ISERROR,ISFILTERED,
  • SELECTEDMEASURE,USERNAME,USEROBJECTID,USERPRINCIPALNAME.  

Relationship Functions

  • CROSSFILTER, RELATED, RELATEDTABLE, USERELATIONSHIP

Time Intelligence Functions

  • CLOSINGBALANCEMONTH,CLOSINGBALANCEQUARTER,CLOSINGBALANCEYEAR,DATEADD,DATESBETWE
  • EN,DATESINPERIOD,DATESMTD,DATESQTD,DATESYTD,ENDOFMONTH,ENDOFQUARTER,ENDOFYEAR,FIRS
  • TDATE,FIRSTNONBLANK,LASTDATE,LASTNONBLANK,NEXTDAY,NEXTMONTH,NEXTQUARTER,NEXTYEAR,O
  • PENINGBALANCEMONTH,OPENINGBALANCEQUARTER,OPENINGBALANCEYEAR,PARALLELPERIOD,PREVI
  • OUSDAY,PREVIOUSMONTH,PREVIOUSQUARTER,PREVIOUSYEAR,SAMEPERIODLASTYEAR,
  • STARTOFMONTH,STARTOFQUARTER,STARTOFYEAR,TOTALMTD,TOTALQTD,TOTALYTD
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v cube lokesh 0
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