Bundle Multi (2 in 1) Microsoft Power BI – Course Syllabus

 

Microsoft Power BI – Course Syllabus

Power BI Complete Introduction

• Power BI Introduction
• 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

PBI Desktop Installation, PBI Desktop &Service Overview

• 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

 

Power Query

Introduction to Power Query – Extract, Transform & Load

• 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)
• The Queries Pane, The Data View / Results Pane, The Query Settings Pane, Formula Bar
• Advanced Editor – Complete ETL Code
• Saving Your Work – Appling ETL Changes – Loading into Power Pivot Model
• Power Query Conceptually

 

Datatypes and Filters in Power Query

• 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

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

 

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 / Union 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)
• Cartesian Join or Cross Join

 

Power Pivot

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

• What is DAX, Calculated Column, Measures
• DAX Table and Column Name Syntax
• Creating Calculated Columns, Creating Measures
• Implicit Vs Explicit Measures
• Calculated Columns Vs Measures
• DAX Syntax & Operators
• DAX Operators
• Types of Operators
• Arithmetic Operators, Comparison Operators, Text Concatenation Operator, Logical Operators

 

DAX Functions Categories

• Date and Time Functions
• Logical Functions
• Text Functions
• Math & Statistical Functions
• Filter Functions
• Time Intelligence Functions

 

DAX Date & Time Functions

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

 

DAX Text Functions

• LEN, CONCATENATE (&)
• LEFT, RIGHT, MID
• UPPER, LOWER
• TRIM, SUBSTITUTE, BLANK

 

DAX Logical Functions

• IF
• TRUE, FALSE
• NOT, OR, IN, AND
• IFERROR
• SWITCH

 

DAXMath and Statistical Functions

• INT
• ROUND, ROUNDUP, ROUNDDOWN
• DIVIDE
• EVEN, ODD
• POWER, SIGN
• SQRT, FACT
• SUM, SUMX
• MIN, MINX
• MAX, MAXX
• COUNT, COUNTX
• AVERAGE, AVERAGEX
• COUNTROWS, COUNTBLANK

DAX Filter Functions

• CALCULATE
• ALL
• RELATED

 

DAX Time Intelligence Functions

• Time Intelligence Introduction
• TOTALMTD, TOTALQTD, TOTALYTD
• PREVIOUSDAY, PREVIOUSMONTH, PREVIOUSQUARTER, PREVIOUSYEAR
• NEXTDAY, NEXTMONTH, NEXTQUARTER, NEXTYEAR
• SAMEPERIODLASTYEAR
• YOY Growth
• MOM Growth

 

Power View

Report View / Power View

• Report View User Interface
• Fields Pane, Visualizations pane, Ribbon, Views, Pages Tab, Canvas
• Visual Interactions
• Interaction Type (Filter, Highlight, None)
• Visual Interactions Default Behavior, Changing the Interaction

 

Filters in Power View

• Filter Types
• Visual Level Filters, Page Level Filters, Report Level Filters, Drill Through Filters
• Filter Sub Types
• Basic Filtering, Advanced Filtering, Top N, Relative Date Filtering
• Numeric field filters, Text field filters, Date and Time field Filters

 

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, Changing the Sort Order
• Sort using column that is not used in the Visualization
• Sort using the Sort by Column button

 

Hierarchies and Drill-Down Reports

• Hierarchy Introduction, Default Date Hierarchy
• Creating Hierarchy, Creating Custom Date Hierarchy
• Change Hierarchy Levels
• Drill-Up and Drill-Down Reports
• Data Actions, Drill Down, Drill Up, Show Next Level, Expand Next Level
• Drilling filters other visuals option

 

Power BI Visualizations

• Visualizing Data, Why Visualizations
• Visualization types, Field Wells
• Visuals for Filtering, Visualizing Categorical Data, Visualizing Trend Data
• Visualizing KPI Data, Visualizing Tabular Data, Visualizing Geographical Data
• Leveraging Power BI Custom Visuals

 

Visuals for Filtering

• Slicer Visualization
• When to use a Slicer