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
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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