• SQL Overview
• RDBMS Concepts
• The Foundation Statements of T-SQL
• Started with SELECT Statement
• Adding Data with the INSERT Statement
• SQL Commands
  • DDL
  • DML
  • DCL
  • DQL
• SQL Data Types

• Basic Commands
  • Create Statement
  • Create Database
  • Create Table
  • Alter Statement
  • Alter Database
  • Alter Table
  • Drop Statement
  • Delete Statement
  • Update Statement
• SQL Operators
  • Arithmetic Operators
  • Comparison Operators
  • Logical Operators

·        NORMALIZATION

• 1NF
• 2NF
• 3NF

·        JOINS

• INNER Join
• LEFT Join
• RIGHT Join
• FULL Join
• SELF Join
• CARTESIAN Join

• SQL Constraints
  • PRIMARY KEY Constraints
  • FOREIGN KEY Constraints
  • UNIQUE Constraints
  • CHECK Constraints
  • DEFAULT Constraints
  • NULL Constraints
• SQL Clauses
  • WHERE Clause
  • ORDER BY Clause
  • GROUP BY Clause
  • HAVING Clause
  • TOP Clause
  • LIKE Clause
  • UNION Clause
  • UNION ALL Clause

• Adding More to Our Queries
  • What Is a Sub-Query?
  • Building a Nested Sub-Query
  • Correlated Sub-Queries
  • How Correlated Sub-Queries Work Correlated Sub-Queries in the WHERE Clause
• The EXISTS Operator

• Using EXISTS in Other Ways
• System Defined Functions:
  • AVERAGE
  • COUNT
  • MAX
    • MIN

• SUM
• SQRT
• RAND
• CONCAT
• GROUP BY
• HAVING
• TRIM
• LENGTH
• UPPER
• LOWER
• REPLACE
• REVERSE
• SUBSTRING
• STUFF
• DATEADD(day,10,@date)
• DATEDIFF (day,exp1,exp2)
• DATEPART(day,exp)
• GETDATE
• CONVERT
• FORMAT
• ISNULL
• Top

·        UDF (USER DEFINED FUNCTIONS)

• Scalar Functions
• Table-valued Functions

·        UNDERSTANDING INDEXES

• How Data Is Accessed in SQL Server
• Creating, Altering, and Dropping Indexes
• The CREATE INDEX Statement

·        VIEWS

• Simple Views
• Views as Filters
• More Complex Views
• Dropping Views

·        STORED PROCEDURES

• Basic Syntax
• Changing Stored Procedures with ALTER
  • Dropping Stored Procedures

• Handling Errors

• Window Functions
  • Row_Over()
  • Partition By
  • Rank
  • Dense Rank

• USING Sequences
  • Auto Increment (Identity Field)
• Triggers

Auto Generated Tables (INSERTED / DELETED)

• Lookup and Reference function
• Text Function
• Data & Time function
• Nested formula in excel with conditional function – “If”
• Logical Functions
• Information functions
• Advance Conditional formatting
• What if Analysis

• Goal Seek
• Scenario Manager
• Data Table
  • Array Formula
  • Basics concept of Excel charts
  • Advance chart techniques
  • All charts with an example
  • Form Controls
  • Basic of Pivot Tables
  • Understanding of Row, columns, page and value field
  • Calculated field in pivot table
  • Formatting of pivot table
  • Getting Started with Power Pivot
  • Enable and Navigate Power Pivot
  • Manage Data Relationships
  • Visualizing Power Pivot Data
  • Create a Power Pivot Report
  • Create Calculations in Power Pivot
  • Working with Advanced Functionality in Power Pivot
  • Create a Key Performance Indicator
  • Work with Dates and Time in Power Pivot

Module 1: INTRODUCTION TO POWER BI

• 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
• Sample Reports and Visualization Controls
• Power BI Cloud Account Configuration
• Understanding Desktop & Mobile Editions
• Report Rendering Options and End User Access
• Power View and Power Map. Power BI Licenses
• Course Plan – Power BI Online Training

Module 2: CREATING POWER BI REPORTS, AUTO FILTERS

• Report Design with Legacy & .DAT Files
• Report Design with Database Tables
• Understanding Power BI Report Designer
• Report Canvas, Report Pages: Creation, Renames
• Report Visuals, Fields and UI Options
• Experimenting Visual Interactions, Advantages
• Reports with Multiple Pages and Advantages
• Pages with Multiple Visualizations. Data Access
• PUBLISH Options and Report Verification in Cloud
• “GET DATA” Options and Report Fields, Filters
• Report View Options: Full, Fit Page, Width Scale
• Report Design using Databases & Queries
• Query Settings and Data Preloads
• Navigation Options and Report Refresh
• Stacked bar chart, Stacked column chart
• Clustered bar chart, Clustered column chart
• Adding Report Titles. Report Format Options
• Focus Mode, Explore and Export Settings

Module 3: REPORT VISUALIZATIONS and PROPERTIES

• Power BI Design: Canvas, Visualizations and Fields

• Import Data Options with Power BI Model, Advantages
• Direct Query Options and Real-time (LIVE) Data Access
• Data Fields and Filters with Visualizations
• Visualization Filters, Page Filters, Report Filters
• Conditional Filters and Clearing. Testing Sets
• Creating Customized Tables with Power BI Editor
• General Properties, Sizing, Dimensions, and Positions
• Alternate Text and Tiles. Header (Column, Row) Properties
• Grid Properties (Vertical, Horizontal) and Styles
• Table Styles & Alternate Row Colors – Static, Dynamic
• Sparse, Flashy Rows, Condensed Table Reports. Focus Mode
• Totals Computations, Background. Boarders Properties
• Column Headers, Column Formatting, Value Properties
• Conditional Formatting Options – Color Scale
• Page Level Filters and Report Level Filters
• Visual-Level Filters and Format Options
• Report Fields, Formats and Analytics
• Page-Level Filters and Column Formatting, Filters
• Background Properties, Borders and Lock Aspect Class

Module 4 : CHART AND MAP REPORT PROPERTIES

• chart report types and properties
• stacked bar chart, stacked column chart
• clustered bar chart, clustered column chart
• 100% stacked bar chart, 100% stacked column chart
• line charts, area charts, stacked area charts
• line and stacked row charts
• line and stacked column charts
• waterfall chart, scatter chart, pie chart
• Field Properties: Axis, Legend, Value, Tooltip
• Field Properties: Color Saturation, Filters Types
• Formats: Legend, Axis, Data Labels, Plot Area
• Data Labels: Visibility, Color and Display Units
• Data Labels: Precision, Position, Text Options
• Analytics: Constant Line, Position, Labels
• Working with Waterfall Charts and Default Values
• Modifying Legends and Visual Filters – Options
• Map Reports: Working with Map Reports
• Hierarchies: Grouping Multiple Report Fields
• Hierarchy Levels and Usages in Visualizations
• Preordered Attribute Collection – Advantages
• Using Field Hierarchies with Chart Reports
• Advanced Query Mode @ Connection Settings – Options
• Direct Import and In-memory Loads, Advantages

Module 5 : HIERARCHIES and DRILLDOWN REPORTS

• Hierarchies and Drilldown Options
• Hierarchy Levels and Drill Modes – Usage
• Drill-thru Options with Tree Map and Pie Chart
• Higher Levels and Next Level Navigation Options
• Aggregates with Bottom/Up Navigations. Rules
• Multi Field Aggregations and Hierarchies in Power BI
• DRILLDOWN, SHOWNEXTLEVEL, EXPANDTONEXTLEVEL
• SEE DATA and SEE RECORDS Options. Differences
• Toggle Options with Tabular Data. Filters
• Drilldown Buttons and Mouse Hover Options @ Visuals
• Dependent Aggregations, Independent Aggregations
• Automated Records Selection with Tabular Data
• Report Parameters: Creation and Data Type
• Available Values and Default values. Member Values
• Parameters for Column Data and Table / Query Filters
• Parameters Creation – Query Mode, UI Option
• Linking Parameters to Query Columns – Options
• Edit Query Options and Parameter Manage Entries
• Connection Parameters and Dynamic Data Sources
• Synonyms – Creation and Usage Options Class

Module 6 : 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 7 : POWER QUERY & M LANGUAGE – Part 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

Module 8 : DAX EXPRESSIONS – Level 1

• Purpose of Data Analysis Expressions (DAX)
• Scope of Usage with DAX. Usability Options
• DAX Context : Row Context and Filter Context
• DAX Entities : Calculated Columns and Measures
• DAX Data Types : Numeric, Boolean, Variant, Currency
• Datetime Data Tye with DAX. Comparison with Excel
• DAX Operators & Symbols. Usage. Operator Priority
• Parenthesis, Comparison, Arithmetic, Text, Logic
• DAX Functions and Types: Table Valued Functions
• Filter, Aggregation and Time Intelligence Functions
• Information Functions, Logical, Parent-Child Functions
• Statistical and Text Functions. Formulas and Queries
• Syntax Requirements with DAX. Differences with Excel
• Naming Conventions and DAX Format Representation
• Working with Special Characters in Table Names
• Attribute / Column Scope with DAX – Examples
• Measure / Column Scope with DAX – Examples C

Module 9 : DAX EXPRESSIONS – Level 2

• YTD, QTD, MTD Calculations with DAX
• DAX Calculations and Measures
• Using TOPN, RANKX, RANK.EQ
• Computations using STDEV & VAR
• SAMPLE Function, COUNTALL, ISERROR
• ISTEXT, DATEFORMAT, TIMEFORMAT
• Time Intelligence Functions with DAX
• Data Analysis Expressions and Functions
• DATESYTD, DATESQTD, DATESMTD
• ENDOFYEAR, ENDOFQUARTER,ENDOFMONTH
• FIRSTDATE, LASTDATE, DATESBETWEEN
• CLOSINGBALANCEYEAR,CLOSINGBALANCEQTR
• SAMEPERIOD and PREVIOUSMONTH,QUARTER
• KPIs with DAX. Vertipaq Queries in DAX
• IF..ELSEIF.. Conditions with DAX
• Slicing and Dicing Options with Columns, Measures
• DAX for Query Extraction, Data Mashup Operations
• Calculated Columns and Calculated Measures with DAX

Module 10 : POWERBI DEPLOYMENT & CLOUD

• PowerBI Report Validation and Publish
• Understanding PowerBI Cloud Architecture
• PowerBI Cloud Account and Workspace
• Reports and DataSet Items Validation
• Dashboards and Pins – Real-time Usage
• Dynamic Data Sources and Encryptions
• Personal and Organizational Content Packs
• Gateways, Subscriptions, Mobile Reports
• Data Refresh with Power BI Architecture
• PBIX and PBIT Files with Power BI – Usage
• Visual Data Imports and Visual Schemas
• Cloud and On-Premise Data Sources
• How PowerBI Supports Data Model?
• Relation between Dashboards to Reports
• Relation between Datasets to Reports
• Relation between Datasets to Dashboards
• Page to Report – Mapping Options
• Publish Options and Data Import Options
• Need for PINS @ Visuals and PINS @ Reports
• Need for Data Streams and Cloud Integration

Module 11 : POWER BI CLOUD OPERATIONS

• Report Publish Options and Verifications
• Working with Power BI Cloud Interface & Options
• Navigation Paths with “My Workspace” Screens
• FILE, VIEW, EDIT REPORTS, ACCESS, DRILLDOWN
• Saving Reports into pdf, pptx, etc. Report Embed
• Report Rendering and EDIT, SAVE, Print Options
• Report PIN and individual Visual PIN Options
• Create and Use Dashboards. Menu Options
• Goto Dashboard and Goto LIVE Page Options
• Operations on Pinned Reports and Visuals
• TITLE, MEDIA, USAGE METRICS & FAVOURITES
• SUBSCRIPTION Options and Reports with Mobile View
• Options with Report Page: Print and Subscribe
• Report Actions: USAGE METRICS, ANALYSE IN EXCEL
• Report Actions: RELATED ITEMS, RENAME, DELETE
• Dashboard Actions: METRICS, RELATED ITEMS
• Dashboard Actions: SETTINGS FOR Q & A, DELETE
• PIN Actions: METRICS, SHARE, RELATED ITEMS
• PIN Actions: SETTINGS FOR Q & A, DELETE
• EDIT DASHBOARD (CLOUD), On-The-Fly Reports
• Dataset Actions: CREATE REPORT, REFRESH
• SCHEDULED REFRESH & RELATED ITEMS
• Dashboard Integration with Apps in Power BI

Module 12 : IMPROVING POWER BI REPORTS

• Publish PowerBI Report Templates
• Import and Export Options with Power BI
• Dataset Navigations and Report Navigations
• Quick Navigation Options with “My Workspace”
• Dashboards, Workbooks, Reports, Datasets
• Working with MY WORK SPACE group
• Installing the Power BI Personal Gateway
• Automatic Refresh – Possible Issues
• Adding images to the dashboards
• Reading & Editing Power BI Views
• Power BI Templates (pbit)- Creation, Usage
• Managing report in Power BI Services
• PowerBI Gateway – Download and Installation
• Personal and Enterprise Gateway Features
• PowerBI Settings : Dataset – Gateway Integration
• Configuring Dataset for Manual Refresh of Data
• Configuring Automatic Refresh and Schedules
• Workbooks and Alerts with Power BI
• Dataset Actions and Refresh Settings with Gateway
• Using natural Language Q&A to data – Cortana

Module 13 : INSIGHTS AND SUBSCRIPTIONS

• Data Navigation Paths and Data Splits
• Getting data from existing systems
• Data Refresh and LIVE Connections
• pbit and pbix : differences. Usage Options
• Quick Insights For Power BI Reports
• Quick Insights For PowerBI Dashboards
• Generating Insights with Cloud Datasets
• Generating Reports with Cloud Datasets
• Using relational databases on-premises
• Using relational databases in the cloud
• Consuming a service content pack
• Creating a custom data set from a service
• Creating a content pack for your organization
• Consuming an organizational content pack
• Updating an organizational content pack
• Adding Tiles : Images, Videos, DataStream
• Creating New Reports from Cortana, Advantages Class

Duration 3-4 months