Power BI Training Classes

This Power BI Classroom Training includes EVERY detail of each Power BI Visual, Usage and Properties as per the latest versions. This Power BI course includes On-premise and Cloud Data Access, REST API, Azure Stream and R Integration including Data Modelling and ETL Techniques with Basic to Advanced Power Query (M Language), DAX Language Functions, Power BI Dashboards, Streaming Datasets, App Workspace, Content Packs, Data Gateways, Alerts, Power BI Report Server Components, Power BI Mobile Repots, Excel Integration, Excel Analysis, KPIs for Big Data Analytics, Microsoft OneDrive, Google Big Query Datasets and Facebook are also a part of this Power BI Classroom Training course (Version: 2.62.5222.582) in addition to Mock Interviews, Resume Guidance, Concept wise Interview FAQs and ONE Real-time Project.

Power BI Training Plans

	PLAN A	PLAN B
Power BI Training Course For	Power BI Dev	Power BI Dev with SQL, T-SQL
Total Duration	3.5 Weeks	6 Weeks
Power BI Report Design
Power BI Desktop and Visuals
Python, Google, Facebook
R, REST APIs, Gateways
Custom Visuals, MarketPlace
Power BI Cloud, Excel Analysis
Power BI Mobile Reports
Dashboards, AppWork Space
Data Modelling with Power Query
Data Modelling with DAX
Basic to Advanced DAX and RLS
Real-Time Project in Power BI
SQL Database Concepts
SQL Server T-SQL Queries
Joins, Query Tuning
Sub Queries, Stored Procedures
Normal Forms and RAID
End-to-End Project, Resume
Total Course Fee	INR 7,000/-	INR 10,000/-

Trainer & Profile : Mr. Sai Phanindra T

Timings (IST)		Course Start Date
Schedules for Power BI Training
1	9 AM - 10 AM	Mar 26th	Register
2	6:30 AM to 8:30 AM (Wkn)	April 27th	Register
3	8:30 AM to 10:30 AM (Wkn)	May 18th	Register
Schedules for SQL Server & T-SQL Training
1	6:30 AM to 7:30 AM	Apr 24th	Register
2	10:15 AM to 11:15 AM	Mar 25th	Register
3	11:30 AM to 12:30 PM	Mar 26th	Register
4	7:30 PM to 8:30 PM	Apr 2nd	Register
5	8:30 AM to 10:30 AM (Wkn)	Mar 24th	Register

If above schedules does not work for you, please register for Power BI Training Videos

TRAININGS ARE PRACTICAL, REAL-TIME.

TRAINING HIGHLIGHTS

Custom Visuals	Power BI Mobile
Big Data Sources	R, Python, JSON
Excel Analysis	Excel Online
Google Big Query	Report Server
Gateways, Rest API	Power BI Admin

Power BI Training Course Contents:

Brochure:

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Module I: Power BI Basics, Visuals	Module II: Power BI Service (Cloud)	Module III: ETL and Data Modelling
Chapter 1 : POWER BI INTRODUCTION Power BI Introduction - Target Users Need for Big Data and BI Technologies Purpose of BI and Power BI Suite of Tools Power BI : Self-Service BI, Usage Scope Power BI Versus Microsoft BI (MSBI) Power BI Versus Tableau, QlickView Power BI as End-to-End BI Suite, Cloud Microsoft Data Platform with Power BI Data Collaboration, Visualization, IOT Power BI with Reporting Services (SSRS) Data Scientists and Artificial Intelligence Data Analysts and Business Analysts Power BI Job Roles and Responsibilities Power BI Component : Overview, Lab Plan MCSA Examination for Power BI: 70-778	Chapter 9 : POWER BI CLOUD - 1 Power BI Service (Cloud) Registration Power BI Service (Cloud) Architecture App Workspace Creation in Real-time Publish Reports from Power BI Desktop Reports, Datasets in Power BI Cloud Deployment Verifications in Cloud Creating Dashboards and Realtime Use Pin Visuals and Pin LIVE Report Pages Dashboard Creation with Tiles, Media Tiles - Images, Web Content, Chapters Subscriptions, Insights and Refresh Metrics, Distribution Methods, Actions View Related & Featured Dashboards Favorites, Shares, Dashboard Themes Performance Inspector and QR Codes	Chapter 17 : POWER QUERY - LEVEL 1 Power Query [M Language] - Purpose Power Query Usage & Operation Types Power Query Architecture and Usage QUERY Concept, Properties, Validations Power Query - Data Mash Up Operations Basic Data Types, Literals and Values Expressions, Primitives in M Language Structured Data Values in Power Query LIST, RECORD, TABLE in Power Query Power Query Connection Format Settings let, source, in statements in M Lang Functions, Parameters in Power Query INVOKE Functions & Execution Results Power BI Canvas: Edits, Applied Steps Frowns, Query Header Row Formatting
Chapter 2: POWER BI ARCHITECTURE Power BI Architecture - Data Components Power BI - Integration in Real-time Interactive Reports, Paginated Reports Analytical Reports and Mobile Reports Power BI Licensing Plans and Pricing Power BI Ecosystem and BI Components Power BI Service (Cloud) and Azure Cloud Power BI Report Server and Report Builder Power BI Mobile Report Publisher Tool Power BI with Excel - Excel Analyzer Tool Power BI Desktop & Excel Publisher Tools Power BI Desktop Installations - 32bit, 64bit Understanding Power BI Desktop Tool Power BI Canvas, Visualizations and Filters Fields, Reports, Data, Relationship Screens Need for Power Query and DAX Expressions Visualizations in Power BI - Overview	Chapter 10 : POWER BI CLOUD - 2 Dataset Operations @ Power BI Cloud Dataset Actions - Report Creation Options Power BI LIVE Report Edits, Downloads Quick Insights and PBIX Downloads Content Packs in PBI Cloud in Real-time Creating and Using Content Packs Organizational, Service Content Packs Publishing App Workspace, Updates Dataset Refresh Options with DataSource Power BI Data Gateway - Architecture Gateway Installation, Configuration Using Gateways in Power BI Cloud SSO - Single Sign On Security Options Kerberos Authentication, Refresh Modes Incremental Loads, Gateway Versions Data Gateway and Privacy Levels PBIEngw Service and ODG Logs, Audits	Chapter 18 : POWER QUERY - LEVEL 2 Power Query Transformations Categories Query Combine & MERGE Transformations Join Options in Merge Transformation Truncate, Replace, Split, Reduce Rows Manage Columns, Hide / Show Columns Grouping, Aggregations, Column Formats Transpose, Reverse Rows Transformations Power Query - Row Count and Replace Data Type Detection - Scenarios, Use Data Type Conversions and Value Replace Fill Up and Fill Down, Rename Options PIVOT and UNPIVOT Transformations MOVE, FILTER and ConvertToList() SPLIT, FORMAT, MERGE Transformations EXTRACT, PARSE, NUMBER, COMBINE Working with Date, Time Transformations Deriving Year, Quarter, Month, Day
Chapter 3: POWER BI BASIC EXAMPLES Using Power BI Desktop Tool - Options Report Visuals, Fields, Pages and Filters Report, Data and Relationship Options Working with Visualizations and PBI Canvas Working with Enter Data, Get Data Options Get Data from DAT Files, Basic Reports Enter Data from Excel Files, Basic Reports Concept & Use of PBIX and PBIT Files Creating PBIX Files and Re-Using Reports Creating PBIT Files & Data Import Options Designing Simple / Basics Reports in PBI Visual Interactions in Power BI - Options Spotlight Options with Visuals, Real-time Use Slicer Visual in Power BI and Data Filters Reusing Slicer across multiple Report Pages Visual Sync Property, two directional Filters	Chapter 11 : EXCEL, SECURITY, ALERTS Using Excel with Power BI Reports Using Excel Analyzer in Power BI Using Excel Publisher in PBI Cloud Creating Datasets in Excel, Office 365 Cell Selection and PINS in Power BI Excel Online Service - Edits and Pins Excel ODC Connections - Power Pivot Excel Workbooks, Reports, Dashboards Import and Upload Options in Excel Power Pivot Reports in with Excel Security Levels in Power BI Cloud Dashboard Security, Report Security Dataset Security - Read and Reshare App Workspace Security Management Creating, Managing Alerts in Cloud Row Level Security (RLS) with DAX	Chapter 19 : POWER QUERY - LEVEL 3 Creating Parameters in Power Query Intrinsic & Query Parameters, Usage Parameter Data Types, Default Value Lists Static Lists, Dynamic Lists For Parameters Creating Parameters in Power Query Edits Creating Parameters in Data Set Queries Converting Columns to Lists in Power Query Reports with Range Values - Bookmarks Dynamic Dropdowns with PBIX Reports Parameters with PBIT Reports, Prompts Report Design with Dynamic WebPages Creating Lists and Tables in Power BI Data Conversions and toText() Functions Multi Valued Parameters. Table Columns Dynamic Table Expressions and Functions Report Design with Structured Table Values
Chapter 4 : HIERARCHIES and FILTERS Working with Hierarchies in Power BI Creating Hierarchies - Options and Usage Data Drill Options with Power BI Hierarchies Data Explore Options - Spotlight and Focus Expand, Expand All Down, Goto Next Level Drill Up, Drill Down and Parent Aggregations See Data, Export Data, See Records Options Include and Exclude with Multi-Field Values Filters and Real-time Usage with Power BI Export Options to CSV Files and Data Drills Using Report Filters, Page Filters in PBIX Using Drill-down Filters and Visual Filters Basic, Advanced, TOP N Filters - Usage Apply and Clear Options with Value Filters Filtering at Category Level, Summary Level Filtering Techniques in Power BI Visuals Usage of Filters in Real-world - Synopsys Cortana and Q & A Features in Power BI	Chapter 12: REST API, CUSTOM VISUALS REST APIs with Power BI Cloud Service Streaming Datasets Creation in Power BI API : Usage. SubKeys and Channels Push and Pubnub Datasets in Power BI Azure Stream for Real-time Data Reports Real-time Data Tracking Visuals in PBI Power BI Database @ Streaming Datasets Use Streaming Datasets in Tiles in Cloud Use Power BI Dashboards with REST API Power BI Datasets Usage in PBI Desktop Marketplace Visuals and PBIVIZ Files HeatMaps - Visual, Real-time Usage FlowMaps - Visual, Real-time Usage Table HeatMaps with Real-time Usage GanttChart - Visual, Real-time Usage Data Caching Options in Power BI Preview Features in Power BI Desktop Shape Visual, JSON and XML Option	Chapter 20 : POWER QUERY - LEVEL 4 Common Query & DataSet Options Creating Query Duplicates and use Creating Query References and Use FROWN and Token Comma Expression Applied Steps - Edits and Data Inserts New Step Inclusions using Power Query DELETE and DELETE UNTIL END ENABLE LOAD Options in Power Query Grouping Queries - Usage in Realtime Query Transforms, Sort Direction, Statistics IF..ELSE Conditions in Power Query Data Modeling Options with Power Query Modeling Operations - Custom Columns Columns From Examples in Real-time Conditional Column, Indexed Column Variables, Parameters - Power Query Date and Time Columns. String Functions Custom Functions in Power Query M Lang
Chapter 5 : BIG DATA with POWER BI Database Properties, Types of Databases OLTP and OLAP Databases with Power BI DWH and HTAP Databases with Power BI On-premise Database Access with Power BI Cloud Database Access in Power BI Visuals Import Option with Database - Advantages Direct Query Option in Real-time, Usage Options with Small and Big Databases Accessing Azure SQL Database in Power BI Reports with Azure SQL DB Connections SQL Queries and Power BI Data Connections Direct Query Limitations in Power BI Query Storage Mode in Power BI Desktop Relation Detection in Power BI Desktop Relationship Management, Inactive Relations 1 - 1, 1 - Many, Many - 1 Table Relations Defining Relations for Visual Interactions	Chapter 13: POWER BI REPORT SERVER Power BI Admin Console and Settings Installing Power BI Report Server Report Server Configuration Manager Configuring Power BI Report Server Report Server Database TempDB Database Webservice URL, Webportal URL - Usage Report Builder Installation & Usage SQL Server Data Tools (SSDT) Tool Usage Designing Paginated Reports (RDL), Tests Deploy to Power BI Report Server, Settings Data Source Connections, Report Options Register Power BI Report Server to Cloud Tenant IDs Generation and Real-time Usage Integrating Power BI Intranet & Cloud Creating Hybrid Cloud with Power BI Publish RDL Reports to Power BI Cloud Paginated Reports Vs Interactive Reports	Chapter 21 : DAX FUNCTIONS - LEVEL 1 DAX : Importance and Real-time Usage DAX as library of Functions, Operators Real-world usage of DAX with Power BI Real-world usage of Excel, MSBI SSAS DAX Architecture and Entity Sets Formulation Rules for using DAX DAX Data Types and Working Options Syntax, Functions, Context Options Concept of Measures and Calculations ROW Context and Filter Context in DAX DAX Structures and Syntax Options DAX Functions and Types in Real-time Creating and Using Measures with DAX Creating and Using Columns with DAX Vertipaq Engine & Special Characters Operators in DAX - Real-time Usage DAX Formulas Limitations in Power BI
Chapter 6 : Power BI VISUALS - LEVEL 1 Power BI Visualizations and Types Fields, Formats and Analytics Options Table Visuals & Properties, Filters Data Bar and Data Scaling Options Divergent Colors and Data Labelling Conditional Formatting, Grid Lines Matrix : Sub Totals, Grand Totals Drilldown Options : Row and Column Row Groups and Column Groups in Matrix Slicer Visual - Properties, Alignment Single Select and Show All Options Chart Reports - Types, Common Properties Axis, Legend, Value and Tooltip Options Stacked Bar Chart, Clustered Column Chart Stacked Bar Chart : Properties, Use Stacked Column Chart : Properties, Use Clustered Bar Chart : Properties, Use Clustered Column Chart : Properties 100% Stacked Bar and Column Charts Data Label Properties, Legend Properties Comparing Bar Charts and Column Charts	Chapter 14 : POWER BI WITH SSAS, SSRS MSBI SSRS Integration with Power BI SSRS Report Portal URL to Power BI Cloud Power BI KPI Reports Vs SSRS KPI Reports Converting and Working with Mobile Reports Report Builder Reports to Powert BI IMPORT and CONNECT LIVE Options Query Mode and Complete Cube Browse Using MDX Queries with Power BI Queries MDX SELECT and Perspective Access KPIs and MDX Expressions with Power BI Using KPIs in Power BI Reports, Usage Cube & Perspective Browsing in PBI MDX Queries and Filters with Power BI SSAS MDX Scripts with Power BI Visuals Using KPI Fields in Power BI Visuals KPI Visual : Goals, Status and Trends SSAS Tabular Mode Options in Power BI MDX @ Tabular Mode OLAP in Power BI DAX @ Tabular Mode OLAP in Power BI DAX Filters in Tabular Mode SSAS MDX, DAX Tabular Mode OLAP in Power BI	Chapter 22 : DAX FUNCTIONS - LEVEL 2 Data Modeling Options in DAX Detecting & Adding Relations for DAX Power BI DAX Functions - Types, Usage Power BI DAX Functions - Cheat Sheet Power BI Reports - DAX Functionalities Calculated Columns, Aggregated Measures Quick Measures in DAX - Auto validations PowerPivot xVelocity & Vertipaq Store In-Memory Processing : DAX Performance Date and Time & Text Functions Time Intelligence Functions in DAX Logical & Mathematical Functions Data Modeling with DAX. Creating Roles SUM and DATEDIFF Examples in DAX TODAY, DATE, DAY Arguments with DAX DIVIDE, CALCULATE, Conditions Using Variables in DAX, Calculations IF..ELSE..THEN Statement in DAX SELECTEDVALUE, FORMAT Functions RELATED & COUNTROWS in DAX CALCULATE, SUM, ALL Functions
Chapter 7 : POWER BI VISUALS - LEVEL 2 Line Chart, Area Chart Properties, Usage Stacked Area Chart - Properties, Usage Line and Stacked Column Charts Usage Line and Clustered Column Chart Usage Visual Fields, Shared Axis, Legend Column Series and Column Axis in Lines Join Types, Lines: Round, Bevel, Miter Shapes and Markers in Power BI Visuals X Axis, Y Axis Properties, Plot Area Display Units, Data Colors, Shapes Series, Custom Series and Legends Ribbon Chart - Properties, Line Width Match Series and Plot Area Options Waterfall Chart - Sentiment Colors Breakdown Count - Decrease / Increase Scatter Chart - Play Area and Axes Axis Values, Color Saturation, Legend Line and Donut Charts - Properties Inner Radius, Details and Values Data Point and Series Limitations	Chapter 15 : POWER BI with R Introduction to R Language, Usage R Scripts and R Visuals - Realtime Use MRO : Microsoft R Open - Installation MKL : Math Kernel Library Usage Options R Language Compiler from RMAN R Language License from Intel MKL Enabling R Script in Power BI Using R Script Visuals in Power BI Installing R Studio for R Scripts Install FORECAST Packages in R Studio Using R Script Editor Window in R Studio Writing R Scripts in Power BI. Executions Using R Visual in Power BI Desktop "game" Console in Power BI Report Fields Console, Date and Search Options with R Executing and Testing R Scripts Power BI Limitations with R Visuals Duplicate Data Removal with R Visuals Power BI with R for Data Scientists R Visuals - Limitations in Power BI	Chapter 23 : DAX FUNCTIONS - LEVEL 3 AVERAGEX and AVERAGE in DAX KEEPFILTERS and CALCUALTE COUNTROWS and FILTER Functions Using RELATED with FILTER Function DIVIDE with FILTER, ALLSELECTED Using ALL, MAX DAX Functions in FILTER Using ALLSELCTED and Differences Using Numeric and Text Conditions PARALLELPERIOD, DATEDADD in DAX CALCULATE with PREVIOUSMONTH FILTER Conditions with ROWCOUNT USERELATIONSHIP Function in DAX TOTALYTD , TOTALQTD, TOTALMTD Time Intelligence with DIVIDE Functions Time Intelligence with CALCULATE DATESINPERIOD and AVERAGEX EARLIER for Time Based Comparisons Using Variables in DAX Computations Time Type Dimensions - DAX Expressions Considerations for Quick Measures
Chapter 8 : POWER BI VISUALS - LEVEL 3 Tree Map, Funnel and Gauge Reports Group and Values in Tree Map Visuals Min. Max Values and Goal Indicators Single Row Card and Multi Row Cards Non-Interactive Visuals in MultiRow Callout Values in KPI Reports and Use Indicator, Trend and Target Goals in KPIs Map Reports and Filled Map Reports ArcGIS Maps - Latitudes and Longitudes Using Buttons, Images in Power BI Canvas Bookmarks in Power BI Desktop - Usage Using Bookmarks with Buttons, Actions Using Bookmarks for Visual Filters Using Bookmarks for Page Navigations Using Selection Pane with Bookmarks Buttons, Images in Power BI Desktop	Chapter 16 : Power BI Real-time Project This Power BI Training includes ONE Real-time Project Implementation on LIVE, 24 x 7 Climate Control Datasets with Cloud & REST API Integration. This project uses Microsoft One Drive, High Level End User Collaborations with 360 degree Dashboards. Includes Power BI Report Server Paginated Reports and Data Gateways with Azure Data Sync and ODG Logs. This Power BI Project includes Power BI Cloud with Mobile Integrations and	Chapter 24 : DAX FUNCTIONS - LEVEL 4 DAX Variables, Joins and Usage Value Assignments with DAX CONCATENATE Function in DAX HOUR, NOW, SWITCH, TRUE RETURN Values with DAX Functions Numeric and Other DAX Options DAX Modeling Components - use TABLES, COLUMNS, RELATIONS MEASURES and HIERARCHIES INTELLISENSE with DAX Editors Comments in DAX - Syntax Options DISTINCTCOUNT and DIVIDE SAMEPERIODLASTYEAR and IF Revenue and Budget with DAX VARIANCE Calculations in DAX TOTALYTD, YTD, QTD and MTD

Module I: Power BI Basics, Visuals

Module II: Power BI Service (Cloud)

Module III: ETL and Data Modelling

Chapter 1 : POWER BI INTRODUCTION

Power BI Introduction - Target Users
Need for Big Data and BI Technologies
Purpose of BI and Power BI Suite of Tools
Power BI : Self-Service BI, Usage Scope
Power BI Versus Microsoft BI (MSBI)
Power BI Versus Tableau, QlickView
Power BI as End-to-End BI Suite, Cloud
Microsoft Data Platform with Power BI
Data Collaboration, Visualization, IOT
Power BI with Reporting Services (SSRS)
Data Scientists and Artificial Intelligence
Data Analysts and Business Analysts
Power BI Job Roles and Responsibilities
Power BI Component : Overview, Lab Plan
MCSA Examination for Power BI: 70-778

Chapter 9 : POWER BI CLOUD - 1

Power BI Service (Cloud) Registration
Power BI Service (Cloud) Architecture
App Workspace Creation in Real-time
Publish Reports from Power BI Desktop
Reports, Datasets in Power BI Cloud
Deployment Verifications in Cloud
Creating Dashboards and Realtime Use
Pin Visuals and Pin LIVE Report Pages
Dashboard Creation with Tiles, Media
Tiles - Images, Web Content, Chapters
Subscriptions, Insights and Refresh
Metrics, Distribution Methods, Actions
View Related & Featured Dashboards
Favorites, Shares, Dashboard Themes
Performance Inspector and QR Codes

Chapter 17 : POWER QUERY - LEVEL 1

Power Query [M Language] - Purpose
Power Query Usage & Operation Types
Power Query Architecture and Usage
QUERY Concept, Properties, Validations
Power Query - Data Mash Up Operations
Basic Data Types, Literals and Values
Expressions, Primitives in M Language
Structured Data Values in Power Query
LIST, RECORD, TABLE in Power Query
Power Query Connection Format Settings
let, source, in statements in M Lang
Functions, Parameters in Power Query
INVOKE Functions & Execution Results
Power BI Canvas: Edits, Applied Steps
Frowns, Query Header Row Formatting

Chapter 2: POWER BI ARCHITECTURE

Power BI Architecture - Data Components
Power BI - Integration in Real-time
Interactive Reports, Paginated Reports
Analytical Reports and Mobile Reports
Power BI Licensing Plans and Pricing
Power BI Ecosystem and BI Components
Power BI Service (Cloud) and Azure Cloud
Power BI Report Server and Report Builder
Power BI Mobile Report Publisher Tool
Power BI with Excel - Excel Analyzer Tool
Power BI Desktop & Excel Publisher Tools
Power BI Desktop Installations - 32bit, 64bit
Understanding Power BI Desktop Tool
Power BI Canvas, Visualizations and Filters
Fields, Reports, Data, Relationship Screens
Need for Power Query and DAX Expressions
Visualizations in Power BI - Overview

Chapter 10 : POWER BI CLOUD - 2

Dataset Operations @ Power BI Cloud
Dataset Actions - Report Creation Options
Power BI LIVE Report Edits, Downloads
Quick Insights and PBIX Downloads
Content Packs in PBI Cloud in Real-time
Creating and Using Content Packs
Organizational, Service Content Packs
Publishing App Workspace, Updates
Dataset Refresh Options with DataSource
Power BI Data Gateway - Architecture
Gateway Installation, Configuration
Using Gateways in Power BI Cloud
SSO - Single Sign On Security Options
Kerberos Authentication, Refresh Modes
Incremental Loads, Gateway Versions
Data Gateway and Privacy Levels
PBIEngw Service and ODG Logs, Audits

Chapter 18 : POWER QUERY - LEVEL 2

Power Query Transformations Categories
Query Combine & MERGE Transformations
Join Options in Merge Transformation
Truncate, Replace, Split, Reduce Rows
Manage Columns, Hide / Show Columns
Grouping, Aggregations, Column Formats
Transpose, Reverse Rows Transformations
Power Query - Row Count and Replace
Data Type Detection - Scenarios, Use
Data Type Conversions and Value Replace
Fill Up and Fill Down, Rename Options
PIVOT and UNPIVOT Transformations
MOVE, FILTER and ConvertToList()
SPLIT, FORMAT, MERGE Transformations
EXTRACT, PARSE, NUMBER, COMBINE
Working with Date, Time Transformations
Deriving Year, Quarter, Month, Day

Chapter 3: POWER BI BASIC EXAMPLES

Using Power BI Desktop Tool - Options
Report Visuals, Fields, Pages and Filters
Report, Data and Relationship Options
Working with Visualizations and PBI Canvas
Working with Enter Data, Get Data Options
Get Data from DAT Files, Basic Reports
Enter Data from Excel Files, Basic Reports
Concept & Use of PBIX and PBIT Files
Creating PBIX Files and Re-Using Reports
Creating PBIT Files & Data Import Options
Designing Simple / Basics Reports in PBI
Visual Interactions in Power BI - Options
Spotlight Options with Visuals, Real-time Use
Slicer Visual in Power BI and Data Filters
Reusing Slicer across multiple Report Pages
Visual Sync Property, two directional Filters

Chapter 11 : EXCEL, SECURITY, ALERTS

Using Excel with Power BI Reports
Using Excel Analyzer in Power BI
Using Excel Publisher in PBI Cloud
Creating Datasets in Excel, Office 365
Cell Selection and PINS in Power BI
Excel Online Service - Edits and Pins
Excel ODC Connections - Power Pivot
Excel Workbooks, Reports, Dashboards
Import and Upload Options in Excel
Power Pivot Reports in with Excel
Security Levels in Power BI Cloud
Dashboard Security, Report Security
Dataset Security - Read and Reshare
App Workspace Security Management
Creating, Managing Alerts in Cloud
Row Level Security (RLS) with DAX

Chapter 19 : POWER QUERY - LEVEL 3

Creating Parameters in Power Query
Intrinsic & Query Parameters, Usage
Parameter Data Types, Default Value Lists
Static Lists, Dynamic Lists For Parameters
Creating Parameters in Power Query Edits
Creating Parameters in Data Set Queries
Converting Columns to Lists in Power Query
Reports with Range Values - Bookmarks
Dynamic Dropdowns with PBIX Reports
Parameters with PBIT Reports, Prompts
Report Design with Dynamic WebPages
Creating Lists and Tables in Power BI
Data Conversions and toText() Functions
Multi Valued Parameters. Table Columns
Dynamic Table Expressions and Functions
Report Design with Structured Table Values

Chapter 4 : HIERARCHIES and FILTERS

Working with Hierarchies in Power BI
Creating Hierarchies - Options and Usage
Data Drill Options with Power BI Hierarchies
Data Explore Options - Spotlight and Focus
Expand, Expand All Down, Goto Next Level
Drill Up, Drill Down and Parent Aggregations
See Data, Export Data, See Records Options
Include and Exclude with Multi-Field Values
Filters and Real-time Usage with Power BI
Export Options to CSV Files and Data Drills
Using Report Filters, Page Filters in PBIX
Using Drill-down Filters and Visual Filters
Basic, Advanced, TOP N Filters - Usage
Apply and Clear Options with Value Filters
Filtering at Category Level, Summary Level
Filtering Techniques in Power BI Visuals
Usage of Filters in Real-world - Synopsys
Cortana and Q & A Features in Power BI

Chapter 12: REST API, CUSTOM VISUALS

REST APIs with Power BI Cloud Service
Streaming Datasets Creation in Power BI
API : Usage. SubKeys and Channels
Push and Pubnub Datasets in Power BI
Azure Stream for Real-time Data Reports
Real-time Data Tracking Visuals in PBI
Power BI Database @ Streaming Datasets
Use Streaming Datasets in Tiles in Cloud
Use Power BI Dashboards with REST API
Power BI Datasets Usage in PBI Desktop
Marketplace Visuals and PBIVIZ Files
HeatMaps - Visual, Real-time Usage
FlowMaps - Visual, Real-time Usage
Table HeatMaps with Real-time Usage
GanttChart - Visual, Real-time Usage
Data Caching Options in Power BI
Preview Features in Power BI Desktop
Shape Visual, JSON and XML Option

Chapter 20 : POWER QUERY - LEVEL 4

Common Query & DataSet Options
Creating Query Duplicates and use
Creating Query References and Use
FROWN and Token Comma Expression
Applied Steps - Edits and Data Inserts
New Step Inclusions using Power Query
DELETE and DELETE UNTIL END
ENABLE LOAD Options in Power Query
Grouping Queries - Usage in Realtime
Query Transforms, Sort Direction, Statistics
IF..ELSE Conditions in Power Query
Data Modeling Options with Power Query
Modeling Operations - Custom Columns
Columns From Examples in Real-time
Conditional Column, Indexed Column
Variables, Parameters - Power Query
Date and Time Columns. String Functions
Custom Functions in Power Query M Lang

Chapter 5 : BIG DATA with POWER BI

Database Properties, Types of Databases
OLTP and OLAP Databases with Power BI
DWH and HTAP Databases with Power BI
On-premise Database Access with Power BI
Cloud Database Access in Power BI Visuals
Import Option with Database - Advantages
Direct Query Option in Real-time, Usage
Options with Small and Big Databases
Accessing Azure SQL Database in Power BI
Reports with Azure SQL DB Connections
SQL Queries and Power BI Data Connections
Direct Query Limitations in Power BI
Query Storage Mode in Power BI Desktop
Relation Detection in Power BI Desktop
Relationship Management, Inactive Relations
1 - 1, 1 - Many, Many - 1 Table Relations
Defining Relations for Visual Interactions

Chapter 13: POWER BI REPORT SERVER

Power BI Admin Console and Settings
Installing Power BI Report Server
Report Server Configuration Manager
Configuring Power BI Report Server
Report Server Database TempDB Database
Webservice URL, Webportal URL - Usage
Report Builder Installation & Usage
SQL Server Data Tools (SSDT) Tool Usage
Designing Paginated Reports (RDL), Tests
Deploy to Power BI Report Server, Settings
Data Source Connections, Report Options
Register Power BI Report Server to Cloud
Tenant IDs Generation and Real-time Usage
Integrating Power BI Intranet & Cloud
Creating Hybrid Cloud with Power BI
Publish RDL Reports to Power BI Cloud
Paginated Reports Vs Interactive Reports

Chapter 21 : DAX FUNCTIONS - LEVEL 1

DAX : Importance and Real-time Usage
DAX as library of Functions, Operators
Real-world usage of DAX with Power BI
Real-world usage of Excel, MSBI SSAS
DAX Architecture and Entity Sets
Formulation Rules for using DAX
DAX Data Types and Working Options
Syntax, Functions, Context Options
Concept of Measures and Calculations
ROW Context and Filter Context in DAX
DAX Structures and Syntax Options
DAX Functions and Types in Real-time
Creating and Using Measures with DAX
Creating and Using Columns with DAX
Vertipaq Engine & Special Characters
Operators in DAX - Real-time Usage
DAX Formulas Limitations in Power BI

Chapter 6 : Power BI VISUALS - LEVEL 1

Power BI Visualizations and Types
Fields, Formats and Analytics Options
Table Visuals & Properties, Filters
Data Bar and Data Scaling Options
Divergent Colors and Data Labelling
Conditional Formatting, Grid Lines
Matrix : Sub Totals, Grand Totals
Drilldown Options : Row and Column
Row Groups and Column Groups in Matrix
Slicer Visual - Properties, Alignment
Single Select and Show All Options
Chart Reports - Types, Common Properties
Axis, Legend, Value and Tooltip Options
Stacked Bar Chart, Clustered Column Chart
Stacked Bar Chart : Properties, Use
Stacked Column Chart : Properties, Use
Clustered Bar Chart : Properties, Use
Clustered Column Chart : Properties
100% Stacked Bar and Column Charts
Data Label Properties, Legend Properties
Comparing Bar Charts and Column Charts

Chapter 14 : POWER BI WITH SSAS, SSRS

MSBI SSRS Integration with Power BI
SSRS Report Portal URL to Power BI Cloud
Power BI KPI Reports Vs SSRS KPI Reports
Converting and Working with Mobile Reports
Report Builder Reports to Powert BI
IMPORT and CONNECT LIVE Options
Query Mode and Complete Cube Browse
Using MDX Queries with Power BI Queries
MDX SELECT and Perspective Access
KPIs and MDX Expressions with Power BI
Using KPIs in Power BI Reports, Usage
Cube & Perspective Browsing in PBI
MDX Queries and Filters with Power BI
SSAS MDX Scripts with Power BI Visuals
Using KPI Fields in Power BI Visuals
KPI Visual : Goals, Status and Trends
SSAS Tabular Mode Options in Power BI
MDX @ Tabular Mode OLAP in Power BI
DAX @ Tabular Mode OLAP in Power BI
DAX Filters in Tabular Mode SSAS
MDX, DAX Tabular Mode OLAP in Power BI

Chapter 22 : DAX FUNCTIONS - LEVEL 2

Data Modeling Options in DAX
Detecting & Adding Relations for DAX
Power BI DAX Functions - Types, Usage
Power BI DAX Functions - Cheat Sheet
Power BI Reports - DAX Functionalities
Calculated Columns, Aggregated Measures
Quick Measures in DAX - Auto validations
PowerPivot xVelocity & Vertipaq Store
In-Memory Processing : DAX Performance
Date and Time & Text Functions
Time Intelligence Functions in DAX
Logical & Mathematical Functions
Data Modeling with DAX. Creating Roles
SUM and DATEDIFF Examples in DAX
TODAY, DATE, DAY Arguments with DAX
DIVIDE, CALCULATE, Conditions
Using Variables in DAX, Calculations
IF..ELSE..THEN Statement in DAX
SELECTEDVALUE, FORMAT Functions
RELATED & COUNTROWS in DAX
CALCULATE, SUM, ALL Functions

Chapter 7 : POWER BI VISUALS - LEVEL 2

Line Chart, Area Chart Properties, Usage
Stacked Area Chart - Properties, Usage
Line and Stacked Column Charts Usage
Line and Clustered Column Chart Usage
Visual Fields, Shared Axis, Legend
Column Series and Column Axis in Lines
Join Types, Lines: Round, Bevel, Miter
Shapes and Markers in Power BI Visuals
X Axis, Y Axis Properties, Plot Area
Display Units, Data Colors, Shapes
Series, Custom Series and Legends
Ribbon Chart - Properties, Line Width
Match Series and Plot Area Options
Waterfall Chart - Sentiment Colors
Breakdown Count - Decrease / Increase
Scatter Chart - Play Area and Axes
Axis Values, Color Saturation, Legend
Line and Donut Charts - Properties
Inner Radius, Details and Values
Data Point and Series Limitations

Chapter 15 : POWER BI with R

Introduction to R Language, Usage
R Scripts and R Visuals - Realtime Use
MRO : Microsoft R Open - Installation
MKL : Math Kernel Library Usage Options
R Language Compiler from RMAN
R Language License from Intel MKL
Enabling R Script in Power BI
Using R Script Visuals in Power BI
Installing R Studio for R Scripts
Install FORECAST Packages in R Studio
Using R Script Editor Window in R Studio
Writing R Scripts in Power BI. Executions
Using R Visual in Power BI Desktop
"game" Console in Power BI Report Fields
Console, Date and Search Options with R
Executing and Testing R Scripts
Power BI Limitations with R Visuals
Duplicate Data Removal with R Visuals
Power BI with R for Data Scientists
R Visuals - Limitations in Power BI

Chapter 23 : DAX FUNCTIONS - LEVEL 3

AVERAGEX and AVERAGE in DAX
KEEPFILTERS and CALCUALTE
COUNTROWS and FILTER Functions
Using RELATED with FILTER Function
DIVIDE with FILTER, ALLSELECTED
Using ALL, MAX DAX Functions in FILTER
Using ALLSELCTED and Differences
Using Numeric and Text Conditions
PARALLELPERIOD, DATEDADD in DAX
CALCULATE with PREVIOUSMONTH
FILTER Conditions with ROWCOUNT
USERELATIONSHIP Function in DAX
TOTALYTD , TOTALQTD, TOTALMTD
Time Intelligence with DIVIDE Functions
Time Intelligence with CALCULATE
DATESINPERIOD and AVERAGEX
EARLIER for Time Based Comparisons
Using Variables in DAX Computations
Time Type Dimensions - DAX Expressions
Considerations for Quick Measures

Chapter 8 : POWER BI VISUALS - LEVEL 3

Tree Map, Funnel and Gauge Reports
Group and Values in Tree Map Visuals
Min. Max Values and Goal Indicators
Single Row Card and Multi Row Cards
Non-Interactive Visuals in MultiRow
Callout Values in KPI Reports and Use
Indicator, Trend and Target Goals in KPIs
Map Reports and Filled Map Reports
ArcGIS Maps - Latitudes and Longitudes
Using Buttons, Images in Power BI Canvas
Bookmarks in Power BI Desktop - Usage
Using Bookmarks with Buttons, Actions
Using Bookmarks for Visual Filters
Using Bookmarks for Page Navigations
Using Selection Pane with Bookmarks
Buttons, Images in Power BI Desktop

Chapter 16 : Power BI Real-time Project

Chapter 24 : DAX FUNCTIONS - LEVEL 4

DAX Variables, Joins and Usage
Value Assignments with DAX
CONCATENATE Function in DAX
HOUR, NOW, SWITCH, TRUE
RETURN Values with DAX Functions
Numeric and Other DAX Options
DAX Modeling Components - use
TABLES, COLUMNS, RELATIONS
MEASURES and HIERARCHIES
INTELLISENSE with DAX Editors
Comments in DAX - Syntax Options
DISTINCTCOUNT and DIVIDE
SAMEPERIODLASTYEAR and IF
Revenue and Budget with DAX
VARIANCE Calculations in DAX
TOTALYTD, YTD, QTD and MTD

Note : Above course curriculum applicable for registrations from Sep 15th, 2018.

**Applicable for Plan C**
Module I: SQL Basics, SQL Server Concepts	Module II: T-SQL Queries & Programming Basics
DAY 1: DATABASE & SQL SERVER BASICS Introduction to Data, Databases, DBMS Database Basics : Types of Databases DB Types: OLTP, OLAP, DWH, HTAP Microsoft SQL Server : Advantages SQL, Transact SQL (T-SQL) Variants Microsoft SQL Server - Career Options SQL Developers : Job Responsibilities BI Developers : Roles, Responsibilities Data Analyst : Roles, Responsibilities Business Analyst Vs Data Analyst Course Plan, Mock Interview Details Real-time Project Details For Resume 24x7 LIVE Server Access (Online Lab)	DAY 7: JOINS AND QUERIES - Level 1 JOINS - Types and Real-time Usage JOIN Types and JOIN Options in T-SQL INNER JOIN - Examples, WHERE, ON OUTER JOIN - LEFT, RIGHT, FULL CROSS JOIN and CROSS APPLY MERGE JOIN - Joining Bigger Tables LOOP JOIN - Joining Smaller Tables HASH JOIN - Joining HEAP Tables GROUP BY Queries and Aggregations GROUP BY Queries with Having Clause ROLLUP, CUBE Queries with Group By Grouping () Functions in Rollup, Cube Replacing Nulls: ISNULL, COALESCE
DAY 2: SQL SERVER INSTALLATION SQL Server 2019 Installation Guidance SQL Server 2017 and 2016 Installation Installation Pre-Requisites and Precautions SQL Server Management Studio (SSMS) SSMS - SQL Server Instance Connections SQL Server Versions, Editions Comparisons Evaluation, Developer Editions - Instances Instances, Instance Types & Instance IDs System Administrator Users @ Instance Windows Authentication Type and its Use Mixed Mode Authentication Type and Use Default Admin Account in SQL Server : "sa" SQL Server Services and Service Accounts File Stream and Collation in SQL Instances	DAY 8: SUB QUERIES, JOINS - Level 2 Joining 2 Tables with Group By, Having Joining 3 Tables with Group By, Having Joining 4 Tables with Group By, Having Using MERGE and ROLLUP with Joins Sub Queries Versus Joined Queries Nested Queries and Joins in WHERE Nested Sub Queries with JOIN Options Cast and Convert Functions - Usage Date, Time Functions, Sub Queries DateAdd, DateDiff, Date Time Types Date & Time Styles Usage in Queries Data Formatting Options in Queries Using Date and Time Formats in Joins Join Queries - Aggregations, Formats
DAY 3: BASIC SQL QUERIES - Level 1 DDL, DML, SELECT, DCL and TCL Creating SQL Databases and Tables CREATE, ALTER, DROP Statements INSERT, UPDATE, DELETE Statements Data Inserts, Values and Table Scan Data Types & their Usage (Basic Level) INTEGER, CHAR, FLOAT Data Types Character Range for Character Data INSERT and INSERT INTO Statements Single Row Inserts, Multi Row Inserts SELECT Statement for Table Retrieval WHERE Examples : =, !=, <,>, <=, >= AND, OR, NOT, IN, NOT IN Conditions BETWEEN, NOT BETWEEN Conditions	DAY 9: INDEXES, VIEWS QUERIES Indexes: Architecture and Types Clustered and Non Clustered Indexes Included and ColumnStore Indexes FILTERED and COVERING Indexes UNIQUE Indexes, Query Optimizer LIVE Online Indexes in Real-time B Tree Structures and IAM Pages Tuning Joined Queries, Conditions Views on Tables - SCHEMABINDING ENCRYPTION and CHECK OPTION Orphan Views - Real-world Solutions Cascaded Views, Encrypted Views System Views for Metadata Access Indexed Views / Materialized Views
DAY 4: BASIC SQL QUERIES - Level 2 CHAR Versus VARCHAR Data Types VARCHAR & NVARCHAR Data Types GO Statement, SQL BATCH Concept BIGINT, BIT, SQL_Variant Data Types IS NULL, NOT NULL. LIKE, NOT LIKE ORDER BY with ASC, DESC Options DISTINCT, TOP and COUNT() Options FETCH, OFFSET, NEXT ROW Options UNION, UNION ALL and Sub Queries Single Quotes, Double Quotes, Aliases UPDATE : Conditional & Unconditional DELETE and TRUNCATE Commands ALTER Command DROP Command	DAY 10: Functions, Procedures - 1 Scalar Value Returning Functions Inline Table Functions, Dynamic Joins Multi-Line Table Functions Usage Table Variables and Table Data Type Variables & Parameters in SQL Server OBJECTID, OBJECTNAME Functions System Functions & Metadata Access Stored Procedures - Purpose, Usage IF .. ELSE and ELSE IF Conditions Using Procedures with Parameters Recompilation of Stored Procedures Sp_help, Sp_helpdb and sp_helptext Sp_recompile, sp_pkeys System SPs
DAY 5: SERVER, DB ARCHITECTURE Client Server Architecture, TDS Packets SNAC and OLE DB Command for TDS TDS Packets and SQL Query Processing SQL Server Architecture Components Protocols, SQL Native Client (SNAC) Query Optimizer (QO) and SQL Manager Storage Engine, File and DB Manager Transaction Manager and Lock Manager Buffer Manager, SQL OS and IO Buffer Synchronization and Thread Scheduler Logs, Checkpoints, Virtual Log File (VLF) DB Data Files (mdf) and Log Files (ldf) Primary/Secondary Files (ndf), Filegroups Write Ahead Log (WAL) and Lazy Writer Log Sequence Number (LSN), Mini LSN	DAY 11: TRIGGERS, TRANSACTIONS Triggers - Purpose, Types Of Usage DML Triggers - Events, Practical Use FOR/AFTER Triggers - Real time Use INSTEAD OF Triggers - Real time Use INSERTED, DELETED Memory Tables Enable Triggers and Disable Triggers Database Level DDL Triggers - Usage Server Level DDL Triggers - Usage COMMIT and ROLLBACK Statements EXPLICIT & IMPLICIT Transactions Autocommit Transaction, ACID Options Conditional Commits and Rollbacks Open Transactions and Query Impact Query Blocking Scenarios @ Real-time NOLOCK and READPAST Lock Hints
DAY 6 : CONSTRAINTS Level 1 Constraints, Keys - Table Data Integrity NULL, NOT NULL Property on Tables UNIQUE KEY Constraints: Importance PRIMARY KEY Constraint: Importance FOREIGN KEY Constraint: Importance REFERENCES, OLTP Relational Tables CHECK, DEFAULT Constraints Usage Candidate Keys and Identity Property Normal Forms : 1 NF, 2 NF and 3 NF BCNF, 4 NF, EKNF and ETNF Designs Schemas - Purpose. Using DBO schema User Defined Schemas & Data Transfer Database Diagrams, PK-FK Base Tables Local Temporary Tables and Sessions Global Temporary Tables and Connections	DAY 12: REAL-TIME CASE STUDIES, EXCEL SCENARIO 1: HEALTHCARE DOMAIN Writing Queries : Joins, Group By Joining 2 and More Tables, Formatting Writing Sub Queries with Joins ROW_NUMBER and RANK Functions DENSE_RANK, PARTITION BY Queries SCENARIO 2: SALES & RETAIL DOMAIN Excel File - Imports and Exports Excel Pivot Tables and Pivot Charts Excel ODC Connections in Real-time CASE and IIF() Conditional Queries String Functions with JOIN Queries

EVERY SESSION IS COMPLETELY PRACTICAL. REAL-TIME. TASKS, MATERIAL, LAB WORK for EVERY SESSION. Register Today

Who can benefit from this Power BI Classroom Training course?

Complete Real-time and Practical Power BI Training with Real-time Scenarios. Power BI is a cloud-based, elegant end-to-end business analytics tool that enables anyone to visualize, analyze, forecast any type of data with greater speed, efficiency, and understanding. It connects users to a broad range of data through easy-to-use dashboards, interactive reports and compelling visualizations for your day to day corproate business data needs!