end-to-end power reporting.

Full Stack BI
Reporting & Automation

75-hours Course | 6-weeks | View Schedule

From front-end visualization to back-end data warehouse and connecting the two along with power-packed Data Analytics, our immersive programs will help you do a full-fledge reporting in your industry through our comprehensive, project-based curriculum and expert-led instruction.

What will I learn?

Using the right and hybrid technology for advanced BI reporting.

Quick brush-up with Excel

Excel is to BI what wireframing is to application development. Brush up your Excel skills with 60+ formulas, pivots, charts & dashboards to quickly build a POC with small data before investing your time in building complex BI reports with big datasets.

Why should I learn Excel?

Ad-hoc Automations using VBA

When company environment doesn't support Power Apps, it is tools like VBA which comes to rescue. This section will explore the power of VBA and help you automate processes or tasks which otherwise is not possible using Power BI tools.

Why should I learn VBA?

Model-building with Power Pivot

Explore the most powerful tool to build data models, forecast estimates, perform what-if-analysis scenario etc. If you are yet to have the Power BI license, you would still be able to create powerful & blended reports and share it internally using Power Pivot.

Why should I learn Power Pivot?

Visualization with Power BI

Getting started with Power BI is simple. Then, once you want to leverage its full potential, you need a different set of skills. Learn how to develop these skills, unlock more insights through better data analysis and visualization with this section.

Why should I learn Power BI?

Advanced Calculation with DAX

For users looking to take their Power BI skills to the next level, mastering DAX is a MUST. In this activity-based section, you'll learn how to add analytical power to your Power BI model and apply to some of the toughest real-world business intelligence use cases.

Why should I learn DAX?

M-Programming with Power Query

During this section, you'll learn how to perform advanced data transformations not available in the Query Editor. We will discuss how to leverage the embedded PowerBI programming language (M) to achieve this.

Why Should I learn M-Programming?

ETL with SSIS

Extract - Transform - Load. Extract Data from multiple data sources, transform it with SSIS inbuilt transformation options or use M-Programs with SSIS and, Load it to the Reporting Database or Data Warehouse for generating dynamic BI Reports.

Why should I know ETL with SSIS?

Data warehousing using MS-SQL

Data for Power BI can come from many sources, but often the data is hosted in SQL Server. This section will teach you how to  write accurate, effective, and robust T-SQL code- the right way and also understand the logic behind the same.

Why should I learn MS-SQL?

Architect Power BI Solution

This section will help you put together Excel, VBA, Power BI, DAX, Power Query and SQL to architect the best BI solution. You'll also learn to publish, securely share reports including row level permissions along with BI administrative tasks like setting up data gateways etc.

Why should I learn to Architect a solution?

Quick brush-up with Excel

Excel is to BI what wireframing is to application development. Brush up your Excel skills with 60+ formulas, pivots, charts & dashboards to quickly build a POC with small data before investing your time in building complex BI reports with big datasets.

Ad-hoc Automations using VBA

When company environment doesn't support Power Apps, it is tools like VBA which comes to rescue. This section will explore the power of VBA and help you automate processes or tasks which otherwise is not possible using Power BI tools.

Model-building with Power Pivot

Explore the most powerful tool to build data models, forecast estimates, perform what-if-analysis scenario etc. If you are yet to have the Power BI license, you would still be able to create powerful & blended reports and share it internally using Power Pivot.

Visualization with Power BI

Getting started with Power BI is simple. Then, once you want to leverage its full potential, you need a different set of skills. Learn how to develop these skills, unlock more insights through better data analysis and visualization with this section.

Advanced Calculation with DAX

For users looking to take their Power BI skills to the next level, mastering DAX is a MUST. In this activity-based section, you'll learn how to add analytical power to your Power BI model and apply to some of the toughest real-world business intelligence use cases.

M-Programming with Power Query

During this section, you'll learn how to perform advanced data transformations not available in the Query Editor. We will discuss how to leverage the embedded PowerBI programming language (M) to achieve this.

ETL with SSIS

Extract - Transform - Load. Extract Data from multiple data sources, transform it with SSIS inbuilt transformation options or use M-Programs with SSIS and, Load it to the Reporting Database or Data Warehouse for generating dynamic BI Reports.

Data warehousing using MS-SQL

Data for Power BI can come from many sources, but often the data is hosted in SQL Server. This section will teach you how to  write accurate, effective, and robust T-SQL code- the right way and also understand the logic behind the same.

Architect Power BI Solution

This section will help you put together Excel, VBA, Power BI, DAX, Power Query and SQL to architect the best BI solution. You'll also learn to publish, securely share reports including row level permissions along with BI administrative tasks like setting up data gateways etc.

Total Course Duration

75-hours, 30 Sessions

Spread across 6-weeks

Training Schedule

Tuesday, 4 Oct

View Schedule

Course Fee

USD 1999

Upgrade benefits as applicable

Pre-requisite

2 years experience

in Data-related roles.

Course Content Overview

A snapshot of what you'll be learning in 6-weeks.

Objective: To prepare a quick POC with small data and get the concurrence on the output before investing time on huge datasets.

Overview

  • Core Fundamentals Of Spreadsheets
  • How System Interprets Your Data
  • Crucial Formatting Concepts
  • Understanding Core Formula Fundamentals & Advanced Referencing Concepts
  • 60+ Advanced Excel Functions
  • Cleansing & Transforming Data
  • Data Summarization
  • Conditional Summarization
  • Working With Multiple Datasets
  • Working With Pivot Tables Including Advanced Pivot Tables Options
  • 15+ Charts - When To Use What Chart?
  • Develop Data Models to Simulate Complex Business Scenarios for What IF Analysis

Objective: To do faster queries, simpler DAX code and enjoy easier maintenance.

Introduction To PowerPivot

  • Limitation Of Excel Functions
  • Limitation Of Excel Pivot table
  • Why Powerpivot?
  • Powerpivot Features – Overview

Powerpivot Environment

  • Opening Powerpivot Environment
  • Understanding External Data Section
  • Understanding Formatting
  • Powerpivot Views
  • Understanding Measures

Loading Data Into PowerPivot

Calculated Columns

  • Calculated Columns
  • Entering Formulas
  • Using Autocomplete Feature
  • Renaming Columns
  • Understanding Tables

Creating Measures

  • Creating Simple DAX Measures
  • Explicit Measure Vs Implicit Measure
  • Referencing Measures In Other Measures
  • Formatting Measures
  • Manage Data Relationships
  • Working With Multiple Tables
  • Disconnected Tables
  • Creating Custom Calendars
  • Using Advanced Filter()
  • Advanced Calculated Columns
  • Understanding Relationship Concept
  • Join Tables
  • Left Join Tables
  • Right Join Tables

Data Visualization Using

  • Charts, Score Cards And Dashboards
  • Slicers
  • Map Visualizations
  • Data Binding And Formatting

Creating Advanced Dashboards With PowerPivot

Creating Free Form Reports With PowerPivot & Excel

Develop Simple Models And Forecast Data Using PowerPivot & Excel

Objective: Getting started with Power BI and leverage it’s full potential to develop compelling visualizations.

Building Blocks of Power BI

  • Visualizations
  • Datasets
  • Reports
  • Dashboards
  • Tiles

Building Your First Power BI Report

  • Connect to Data Sources in Power BI Desktop
  • Clean and Transform Your Data With the Query Editor
  • Create a report in Power BI Desktop
  • Publish the report in the Power BI service

Data Modeling with Power BI

  • Fundamentals of Modeling
  • How to Manage Your Data Relationships
  • Create Calculated Columns
  • Optimizing Data Models for Better Visuals
  • Create measures and work with time-based functions
  • Create Calculated Tables
  • Explore Time-Based Data

Visualizations

  • Create and Customize Simple Visualizations

Building compelling data visualizations

  • Identify metrics and pair them with appropriate data visuals
  • Using slicers
  • Creating Map Visualizations
  • Creating Tables and Matrixes
  • Creating Scatter Charts
  • Creating Waterfall and Funnel Charts
  • Using Gauges and Single Number Cards
  • Charting Options including Formatting with Colors, Shapes, Text Boxes, Images, etc.

Designing User-friendly reports

  • Customize themes
  • Create versatile layouts for your reports
  • Design principles to reduce noise and highlight data stories

Creating interactive reports for data exploration

  • Filtering & drilling for insights
  • Difference between filters & slicers
  • Filter pane for reporting needs

Exploring Data

  • Use Quick Insights in the Power BI service
  • Create and Configure A Dashboard
  • Share Dashboards with your organization
  • Display Visuals and Tiles Full-Screen 

Objective: To learn different methods to Transform Data before uploading it to the SQL Database.

Overview

  • Introduction
  • Loading & Refresh
  • Combine data from multiple data sources

Data Transformation

  • Editing Queries Created with Power Query
  • Editing Column Headers in Power Query
  • Splitting Column Data with Power Query
  • Sorting Data
  • Multi-Level Sorting
  • Filtering Data
  • Aggregate data from a column
  • Insert a custom column into a table
  • Merge columns
  • Remove columns
  • Remove rows with errors
  • Promote a row to column headers
  • Transforming Text Values
  • Replacing Data
  • Using the Fill command
  • Pivot and Unpivot Column
  • Transpose Query Data
  • Pivot Column Command in Action
  • Unpivot Columns Command
  • Grouping Data
  • Create a Duplicate Query
  • Group and Summarize Data
  • Advanced Data Grouping
  • Working with multiple sources in Power Query
  • Multiple Excel Tables
  • Expand a column containing an associated table
  • Understanding Table Relationships
  • Merging Queries

Loading Power Query Data to Destinations

  • Familiarity with the Load & Refresh Settings
  • Loading it to Workbook
  • Loading it to Data Model

Objective: To add analytical power to your Power BI model that is not available in the data as-is, using DAX.

Overview

  • What is DAX?
  • Data Types
  • Table-Valued Functions
  • Building a Calendar Table
  • Date and Time Functions
  • Filter Functions
  • Information Functions
  • Logical Functions
  • Mathematical and Trigonometric Functions
  • Statistical Functions
  • Text Functions
  • Time Intelligence Functions

Creating Advanced Dax Measures With Advanced Dax Functions

  • Calculate()
  • All()
  • Filter()
  • IF()
  • Switch()
  • SumX()

Evaluation Context

  • Filter Context
  • Row Context
  • Using RELATED in a Row Context
  • Filters and Relationships
  • USERELATIONSHIP

Hierarchies in DAX

Querying with DAX

Relationships

  • One-to-Many Relationships
  • Many-to-Many Relationships

Objective: To query MS-SQL Database (es) by writing accurate, effective, and robust T-SQL code - the right way.

Introduction to MS-SQL

  • Creating a Database
  • Understanding Tables and Creating Tables
  • Inserting, Updating and Deleting Data
  • Querying Data
  • Filtering Data
  • Grouping Data
  • Ordering Data
  • Column Aliases
  • Table Aliases

DDL INSIGHTS

  • CREATE TABLE
  • Dropping Objects
  • CREATE INDEX
  • TEMPORARY OBJECTS
  • Object Naming and Dependencies

SELECT STATEMENTS

  • Simple SELECTs
  • Calculated and Derived Fields
  • SELECT TOP / BOTTOM Records
  • Derived Tables
  • Joins
  • Predicates
  • Subqueries
  • Aggregate Functions
  • GROUP BY and HAVING
  • UNION
  • ORDER BY

Objective: Leverage DAX potential to perform advanced data analytics

Advanced Table Manipulation Functions

  • ADDCOLUMNS
  • CROSSJOIN
  • DATATABLE
  • DISTINCT column
  • EXCEPT
  • FILTERS
  • GENERATESERIES
  • INTERSECT
  • NATURALINNERJOIN
  • NATURALLEFTOUTERJOIN
  • ROW
  • SELECTCOLUMNS
  • SUMMARIZE
  • SUMMARIZECOLUMNS
  • Constructor
  • TOPN
  • UNION
  • VALUES

Advanced Filter Functions

  • ADDMISSINGITEMS
  • ALL
  • ALLCROSSFILTERED
  • ALLEXCEPT
  • ALLSELECTED
  • CALCULATE
  • DISTINCT
  • FILTER
  • FILTERS
  • RELATED
  • REMOVEFILTERS
  • SELECTEDVALUE
  • USERELATIONSHIP
  • VALUES

ADVANCED USAGE OF

  • CALCULATE
  • SUMX
  • COUNTX
  • AVERAGEX
  • MAXX
  • MINXX
  • DATATABLE

Objective: To perform advanced and complex data transformations not available in the Query Editor

Understanding M Programming Code

  • M LANGUAGE Specifications
  • Lexical Structure
  • Basic Concepts
  • Values
  • Types
  • Operators
  • Let
  • Conditionals
  • Functions
  • Error Handling
  • Creating Simple M Expressions
  • Creating Simple M Functions
  • Working with List, Record & Tables
  • Understanding Operators and Evaluation Methods
  • Data Types & Type Conversions

Working with M Functions

  • ACCESSING DATA FUNCTIONS - From Excel, SQL, CSV, Tab-Delimited, Webpage, XML, JSON, SharePoint, etc.
  • COMBINER FUNCTIONS
  • COMPARER FUNCTIONS
  • DATE FUNCTIONS
  • DATETIME FUNCTIONS
  • DURATION FUNCTIONS
  • LIST FUNCTIONS
  • LOGICAL FUNCTIONS
  • NUMBER FUNCTIONS
  • RECORD FUNCTIONS
  • REPLACER FUNCTIONS
  • SPLITTER FUNCTIONS
  • TABLE FUNCTIONS
  • TEXT FUNCTIONS
  • TIME FUNCTIONS
  • TYPE FUNCTIONS
  • VALUE FUNCTIONS

Objective: Get hands-on experience with advanced administration settings, permissions, Data refresh times etc.

Overview

  • Publishing Power BI Reports
  • Creating & Managing Workspaces and Its Access
  • Creating & Managing Dashboard and Its Access
  • Installing & Configuring Data gateway
  • Scheduling and configuring data refresh
  • Managing & Reusing Datasets
  • Scheduling Report Alerts
  • Setting up Row Level Permissions
  • Managing Users & Audit Log
  • Custom Branding Power BI For your Organization
  • Adding Custom Visuals for your Organization

Objective: To collect data from multiple ad-hoc sources and prepare it for loading it to SQL Database for BI Reporting purpose.

Overview

  • Core Fundamentals of VBA
  • Understanding VBA Environment
  • Writing simple VBA Codes
  • Concept of Variables & Data Types
  • Testing & Debugging Code
  • Understanding Fundamental Coding Blocks
  • IF Block
  • Select Case
  • And / Or Conditions
  • Understanding Fundamentals of Looping
  • For Loop
  • Do While
  • Understanding Object Based Programming
  • Advanced Excel Automations
  • Word Automation
  • Outlook Automation
  • Working with Database
  • Working with Web Browsers - Web Scrapping
  • Creating User Interfaces with VB Forms
  • Handling Run Time Errors & Securing Code

Objective: Extract Data from multiple data sources, transform them with SSIS or M-Program transformation options and, Load it to Reporting Database / Data Warehouse

Understanding SSIS Packages

Creating & Managing Connections with Connection Manager

  • Importing Data With ADO.NET
  • Importing Data From Excel
  • Importing Data From Flat Files
  • Importing Data From FTP
  • Importing Data From SMTP
  • Working with Multiple Connections
  • Working with Control Flows
  • Working with Data Flows
  • Working with Variables & Expressions

Performing Transformations

  • Aggregation Transformations
  • Audit Transformations
  • Conditional Split Transformations
  • Data Conversion Transformations
  • DQS Cleansing Transformations
  • Derived Columns Transformations
  • Export Column Transformation
  • Fuzzy Grouping Transformation
  • Fuzzy Lookup Transformation
  • Lookup Transformation
  • Merge Transformation
  • Merge Join Transformation
  • Pivot Transformation
  • Unpivot Transformation
  • Row Count Transformation
  • Sort Transformation

Loading Data to SQL Server

Advanced SQL Concepts

DML INSIGHTS

  • INSERT
  • UPDATE
  • DELETE
  • Detecting DML Errors

Understanding Data Types

  • Dates
  • Strings
  • Numeric
  • BLOBs
  • Bits
  • UNIQUEIDENTIFIER
  • Cursor Variables
  • Timestamps

DDL INSIGHTS

  • CREATE TABLE
  • Dropping Objects
  • CREATE INDEX
  • TEMPORARY OBJECTS
  • Object Naming and Dependencies

SQL VIEWS

  • Create & Manage VIEWs
  • Getting a VIEW's Source Code
  • Updatable VIEWs
  • Derived Tables
  • Dynamic VIEWs
  • Partitioning Data Using Views
  • View Restrictions

Stored Procedures

  • Stored Procedure Advantages
  • Internals
  • Creating Stored Procedures, Executing Stored Procedures
  • Environmental Concerns
  • Parameters for Procedures
  • Important Automatic Variables
  • Flow Control Language
  • Errors
  • Nesting
  • AutoStart Procedures
  • User Defined Functions
  • Scalar UDFs
  • Table-Valued UDFs
  • Per-Row UDFs

Working with Date & Time

  • Date and Time Data Types
  • Date and Time Manipulation
  • Date and Time Functions
  • Literals
  • Identifying Weekday
  • Handling Date-only or Time-only Data Prior to SQL Server 2008
  • Examples of Date and Time Calculations
  • Rounding Issues
  • Date- and Time-Related Querying Problems
  • Age Problems
  • Overlaps
  • Grouping by the Week
  • Working Days
  • Generating a Series of Dates

SETS

  • Unions
  • Differences
  • Intersections
  • Subsets

Transactions

  • Transactions Defined
  • How SQL Server Transactions Work
  • Types of Transactions
  • Avoiding Transactions Altogether
  • Automatic Transaction Management
  • Transaction Isolation Levels
  • Transaction Commands and Syntax
  • Debugging Transactions
  • Optimizing Transactional Code

Objective: To put our entire learning to use and arrive at the best possible BI solution -using the right combination of available technologies.

Overview

  • Case Study 1
  • Case Study 2
  • Case Study 3

Course Content Overview

A snapshot of what you'll be learning in 6-weeks.

Objective: To prepare a quick POC with small data and get the concurrence on the output before investing time on huge datasets.

Overview

  • Core Fundamentals Of Spreadsheets
  • How System Interprets Your Data
  • Crucial Formatting Concepts
  • Understanding Core Formula Fundamentals & Advanced Referencing Concepts
  • 60+ Advanced Excel Functions
  • Cleansing & Transforming Data
  • Data Summarization
  • Conditional Summarization
  • Working With Multiple Datasets
  • Working With Pivot Tables Including Advanced Pivot Tables Options
  • 15+ Charts - When To Use What Chart?
  • Develop Data Models to Simulate Complex Business Scenarios for What IF Analysis

Objective: To do faster queries, simpler DAX code and enjoy easier maintenance.

Introduction To PowerPivot

  • Limitation Of Excel Functions
  • Limitation Of Excel Pivot table
  • Why Powerpivot?
  • Powerpivot Features – Overview

Powerpivot Environment

  • Opening Powerpivot Environment
  • Understanding External Data Section
  • Understanding Formatting
  • Powerpivot Views
  • Understanding Measures

Loading Data Into PowerPivot

Calculated Columns

  • Calculated Columns
  • Entering Formulas
  • Using Autocomplete Feature
  • Renaming Columns
  • Understanding Tables

Creating Measures

  • Creating Simple DAX Measures
  • Explicit Measure Vs Implicit Measure
  • Referencing Measures In Other Measures
  • Formatting Measures
  • Manage Data Relationships
  • Working With Multiple Tables
  • Disconnected Tables
  • Creating Custom Calendars
  • Using Advanced Filter()
  • Advanced Calculated Columns
  • Understanding Relationship Concept
  • Join Tables
  • Left Join Tables
  • Right Join Tables

Data Visualization Using

  • Charts, Score Cards And Dashboards
  • Slicers
  • Map Visualizations
  • Data Binding And Formatting

Creating Advanced Dashboards With PowerPivot

Creating Free Form Reports With PowerPivot & Excel

Develop Simple Models And Forecast Data Using PowerPivot & Excel

Objective: Getting started with Power BI and leverage it’s full potential to develop compelling visualizations.

Building Blocks of Power BI

  • Visualizations
  • Datasets
  • Reports
  • Dashboards
  • Tiles

Building Your First Power BI Report

  • Connect to Data Sources in Power BI Desktop
  • Clean and Transform Your Data With the Query Editor
  • Create a report in Power BI Desktop
  • Publish the report in the Power BI service

Data Modeling with Power BI

  • Fundamentals of Modeling
  • How to Manage Your Data Relationships
  • Create Calculated Columns
  • Optimizing Data Models for Better Visuals
  • Create measures and work with time-based functions
  • Create Calculated Tables
  • Explore Time-Based Data

Visualizations

  • Create and Customize Simple Visualizations

Building compelling data visualizations

  • Identify metrics and pair them with appropriate data visuals
  • Using slicers
  • Creating Map Visualizations
  • Creating Tables and Matrixes
  • Creating Scatter Charts
  • Creating Waterfall and Funnel Charts
  • Using Gauges and Single Number Cards
  • Charting Options including Formatting with Colors, Shapes, Text Boxes, Images, etc.

Designing User-friendly reports

  • Customize themes
  • Create versatile layouts for your reports
  • Design principles to reduce noise and highlight data stories

Creating interactive reports for data exploration

  • Filtering & drilling for insights
  • Difference between filters & slicers
  • Filter pane for reporting needs

Exploring Data

  • Use Quick Insights in the Power BI service
  • Create and Configure A Dashboard
  • Share Dashboards with your organization
  • Display Visuals and Tiles Full-Screen 

Objective: To learn different methods to Transform Data before uploading it to the SQL Database.

Overview

  • Introduction
  • Loading & Refresh
  • Combine data from multiple data sources

Data Transformation

  • Editing Queries Created with Power Query
  • Editing Column Headers in Power Query
  • Splitting Column Data with Power Query
  • Sorting Data
  • Multi-Level Sorting
  • Filtering Data
  • Aggregate data from a column
  • Insert a custom column into a table
  • Merge columns
  • Remove columns
  • Remove rows with errors
  • Promote a row to column headers
  • Transforming Text Values
  • Replacing Data
  • Using the Fill command
  • Pivot and Unpivot Column
  • Transpose Query Data
  • Pivot Column Command in Action
  • Unpivot Columns Command
  • Grouping Data
  • Create a Duplicate Query
  • Group and Summarize Data
  • Advanced Data Grouping
  • Working with multiple sources in Power Query
  • Multiple Excel Tables
  • Expand a column containing an associated table
  • Understanding Table Relationships
  • Merging Queries

Loading Power Query Data to Destinations

  • Familiarity with the Load & Refresh Settings
  • Loading it to Workbook
  • Loading it to Data Model

Objective: To add analytical power to your Power BI model that is not available in the data as-is, using DAX.

Overview

  • What is DAX?
  • Data Types
  • Table-Valued Functions
  • Building a Calendar Table
  • Date and Time Functions
  • Filter Functions
  • Information Functions
  • Logical Functions
  • Mathematical and Trigonometric Functions
  • Statistical Functions
  • Text Functions
  • Time Intelligence Functions

Creating Advanced Dax Measures With Advanced Dax Functions

  • Calculate()
  • All()
  • Filter()
  • IF()
  • Switch()
  • SumX()

Evaluation Context

  • Filter Context
  • Row Context
  • Using RELATED in a Row Context
  • Filters and Relationships
  • USERELATIONSHIP

Hierarchies in DAX

Querying with DAX

Relationships

  • One-to-Many Relationships
  • Many-to-Many Relationships

Objective: To query MS-SQL Database (es) by writing accurate, effective, and robust T-SQL code - the right way.

Introduction to MS-SQL

  • Creating a Database
  • Understanding Tables and Creating Tables
  • Inserting, Updating and Deleting Data
  • Querying Data
  • Filtering Data
  • Grouping Data
  • Ordering Data
  • Column Aliases
  • Table Aliases

DDL INSIGHTS

  • CREATE TABLE
  • Dropping Objects
  • CREATE INDEX
  • TEMPORARY OBJECTS
  • Object Naming and Dependencies

SELECT STATEMENTS

  • Simple SELECTs
  • Calculated and Derived Fields
  • SELECT TOP / BOTTOM Records
  • Derived Tables
  • Joins
  • Predicates
  • Subqueries
  • Aggregate Functions
  • GROUP BY and HAVING
  • UNION
  • ORDER BY

Objective: Leverage DAX potential to perform advanced data analytics

Advanced Table Manipulation Functions

  • ADDCOLUMNS
  • CROSSJOIN
  • DATATABLE
  • DISTINCT column
  • EXCEPT
  • FILTERS
  • GENERATESERIES
  • INTERSECT
  • NATURALINNERJOIN
  • NATURALLEFTOUTERJOIN
  • ROW
  • SELECTCOLUMNS
  • SUMMARIZE
  • SUMMARIZECOLUMNS
  • Constructor
  • TOPN
  • UNION
  • VALUES

Advanced Filter Functions

  • ADDMISSINGITEMS
  • ALL
  • ALLCROSSFILTERED
  • ALLEXCEPT
  • ALLSELECTED
  • CALCULATE
  • DISTINCT
  • FILTER
  • FILTERS
  • RELATED
  • REMOVEFILTERS
  • SELECTEDVALUE
  • USERELATIONSHIP
  • VALUES

ADVANCED USAGE OF

  • CALCULATE
  • SUMX
  • COUNTX
  • AVERAGEX
  • MAXX
  • MINXX
  • DATATABLE

Objective: To perform advanced and complex data transformations not available in the Query Editor

Understanding M Programming Code

  • M LANGUAGE Specifications
  • Lexical Structure
  • Basic Concepts
  • Values
  • Types
  • Operators
  • Let
  • Conditionals
  • Functions
  • Error Handling
  • Creating Simple M Expressions
  • Creating Simple M Functions
  • Working with List, Record & Tables
  • Understanding Operators and Evaluation Methods
  • Data Types & Type Conversions

Working with M Functions

  • ACCESSING DATA FUNCTIONS - From Excel, SQL, CSV, Tab-Delimited, Webpage, XML, JSON, SharePoint, etc.
  • COMBINER FUNCTIONS
  • COMPARER FUNCTIONS
  • DATE FUNCTIONS
  • DATETIME FUNCTIONS
  • DURATION FUNCTIONS
  • LIST FUNCTIONS
  • LOGICAL FUNCTIONS
  • NUMBER FUNCTIONS
  • RECORD FUNCTIONS
  • REPLACER FUNCTIONS
  • SPLITTER FUNCTIONS
  • TABLE FUNCTIONS
  • TEXT FUNCTIONS
  • TIME FUNCTIONS
  • TYPE FUNCTIONS
  • VALUE FUNCTIONS

Objective: Get hands-on experience with advanced administration settings, permissions, Data refresh times etc.

Overview

  • Publishing Power BI Reports
  • Creating & Managing Workspaces and Its Access
  • Creating & Managing Dashboard and Its Access
  • Installing & Configuring Data gateway
  • Scheduling and configuring data refresh
  • Managing & Reusing Datasets
  • Scheduling Report Alerts
  • Setting up Row Level Permissions
  • Managing Users & Audit Log
  • Custom Branding Power BI For your Organization
  • Adding Custom Visuals for your Organization

Objective: To collect data from multiple ad-hoc sources and prepare it for loading it to SQL Database for BI Reporting purpose.

Overview

  • Core Fundamentals of VBA
  • Understanding VBA Environment
  • Writing simple VBA Codes
  • Concept of Variables & Data Types
  • Testing & Debugging Code
  • Understanding Fundamental Coding Blocks
  • IF Block
  • Select Case
  • And / Or Conditions
  • Understanding Fundamentals of Looping
  • For Loop
  • Do While
  • Understanding Object Based Programming
  • Advanced Excel Automations
  • Word Automation
  • Outlook Automation
  • Working with Database
  • Working with Web Browsers - Web Scrapping
  • Creating User Interfaces with VB Forms
  • Handling Run Time Errors & Securing Code

Objective: Extract Data from multiple data sources, transform them with SSIS or M-Program transformation options and, Load it to Reporting Database / Data Warehouse

Understanding SSIS Packages

Creating & Managing Connections with Connection Manager

  • Importing Data With ADO.NET
  • Importing Data From Excel
  • Importing Data From Flat Files
  • Importing Data From FTP
  • Importing Data From SMTP
  • Working with Multiple Connections
  • Working with Control Flows
  • Working with Data Flows
  • Working with Variables & Expressions

Performing Transformations

  • Aggregation Transformations
  • Audit Transformations
  • Conditional Split Transformations
  • Data Conversion Transformations
  • DQS Cleansing Transformations
  • Derived Columns Transformations
  • Export Column Transformation
  • Fuzzy Grouping Transformation
  • Fuzzy Lookup Transformation
  • Lookup Transformation
  • Merge Transformation
  • Merge Join Transformation
  • Pivot Transformation
  • Unpivot Transformation
  • Row Count Transformation
  • Sort Transformation

Loading Data to SQL Server

Advanced SQL Concepts

DML INSIGHTS

  • INSERT
  • UPDATE
  • DELETE
  • Detecting DML Errors

Understanding Data Types

  • Dates
  • Strings
  • Numeric
  • BLOBs
  • Bits
  • UNIQUEIDENTIFIER
  • Cursor Variables
  • Timestamps

DDL INSIGHTS

  • CREATE TABLE
  • Dropping Objects
  • CREATE INDEX
  • TEMPORARY OBJECTS
  • Object Naming and Dependencies

SQL VIEWS

  • Create & Manage VIEWs
  • Getting a VIEW's Source Code
  • Updatable VIEWs
  • Derived Tables
  • Dynamic VIEWs
  • Partitioning Data Using Views
  • View Restrictions

Stored Procedures

  • Stored Procedure Advantages
  • Internals
  • Creating Stored Procedures, Executing Stored Procedures
  • Environmental Concerns
  • Parameters for Procedures
  • Important Automatic Variables
  • Flow Control Language
  • Errors
  • Nesting
  • AutoStart Procedures
  • User Defined Functions
  • Scalar UDFs
  • Table-Valued UDFs
  • Per-Row UDFs

Working with Date & Time

  • Date and Time Data Types
  • Date and Time Manipulation
  • Date and Time Functions
  • Literals
  • Identifying Weekday
  • Handling Date-only or Time-only Data Prior to SQL Server 2008
  • Examples of Date and Time Calculations
  • Rounding Issues
  • Date- and Time-Related Querying Problems
  • Age Problems
  • Overlaps
  • Grouping by the Week
  • Working Days
  • Generating a Series of Dates

SETS

  • Unions
  • Differences
  • Intersections
  • Subsets

Transactions

  • Transactions Defined
  • How SQL Server Transactions Work
  • Types of Transactions
  • Avoiding Transactions Altogether
  • Automatic Transaction Management
  • Transaction Isolation Levels
  • Transaction Commands and Syntax
  • Debugging Transactions
  • Optimizing Transactional Code

Objective: To put our entire learning to use and arrive at the best possible BI solution -using the right combination of available technologies.

Overview

  • Case Study 1
  • Case Study 2
  • Case Study 3

Course Fee

USD 1999* Reserve My Seat

What is included?

60-hours of Instructor-led training.

15 Power BI & Power Query Projects, 10 Excel Assignments, 7 VBA case studies, 5 SQL & SSIS related case studies.

3-months of Mentorship program (USD 750) with 5-hours monthly session, post-training.

View mentorship program details

Full Stack BI Reporting Specialist Certificate

READY TO BE CERTIFIED AS

Full Stack BI Reporting & Automation Specialist?

Training Schedule

Week 1 - Quick Excel Brush-up & Power BI

Tue, 4 Oct through Fri, 7 Oct

11:00 AM to 1:00 PM ET

Week 2 - DAX Function & Power Query

Tue, 11 Oct through Fri, 14 Oct

11:00 AM to 1:00 PM ET

Week 3 - Power Pivot, T-SQL & Power BI Administration

Mon, 17 Oct through Fri, 21 Oct

11:00 AM to 1:00 PM ET

Week 4 - Advanced DAX Function & M-Programming

Mon, 7 Nov through Thu, 10 Nov

11:00 AM to 1:00 PM ET

Week 5 - Ad-hoc Automations using VBA Macro

Mon, 14 Nov through Fri, 18 Nov

11:00 AM to 1:00 PM ET

Week 6 - ETL with MS-SQL & SSIS and Architect BI Solution

Mon, 21 Nov through Mon, 28 Nov

11:00 AM to 1:00 PM ET

Week 1 - Quick Excel Brush-up & Power BI

Tue, 4 Oct through Fri, 7 Oct

8:00 PM to 10:00 PM ET

Week 2 - DAX Function & Power Query

Tue, 11 Oct through Fri, 14 Oct

8:00 PM to 10:00 PM ET

Week 3 - Power Pivot, T-SQL & Power BI Administration

Mon, 17 Oct through Fri, 21 Oct

8:00 PM to 10:00 PM ET

Week 4 - Advanced DAX Function & M-Programming

Mon, 7 Nov through Thu, 10 Nov

8:00 PM to 10:00 PM ET

Week 5 - Ad-hoc Automations using VBA Macro

Mon, 14 Nov through Fri, 18 Nov

8:00 PM to 10:00 PM ET

Week 6 - ETL with MS-SQL & SSIS and Architect BI Solution

Mon, 21 Nov through Mon, 28 Nov

8:00 PM to 10:00 PM ET

System Requirements

  1. Power BI Desktop (Free & Downloadable at https://powerbi.microsoft.com/en-us/get-started/ 
  2. Excel 2016 & above with PowerPivot - Available with Office 365 subscriptions that include desktop versions of Excel for Windows. Also available with certain onetime office purchases. Refer https://support.office.com/en-us/article/where-is-power-pivot-aa64e217-4b6e-410b-8337-20b87e1c2a4b for more information.
  3. MS-SQL Server (Free & Downloadable at https://www.microsoft.com/en-us/sql-server/sql-server-editions-express If you have it already installed, kindly ensure you have rights to create and modify new databases.
  4. SSIS - It comes along with your SQL Server License.
  5. SQL Server Development Tools (SSDT) – Refer https://docs.microsoft.com/en-us/sql/ssdt/download-sql-server-data-tools-ssdt?view=sql-server-ver15
  6. Visual Studio 2017 & above. Visual Studio Community Edition is Free and can be downloaded from https://visualstudio.microsoft.com/vs/

Connect with Us

Excelgoodies Consulting, Inc.

739 Bryant Street, San Francisco, CA 94107

Mr.Perrie Smith

Business Associate

Tel: (650) 491-3131

Email: inquiry_fullstackbi@excelgoodies.com

Connect us on

About the Trainer

Mr. Sami, MCT, MCSA Data Enthusiast & a Technophile

Mr. Sami, Microsoft Certified Trainer, with his qualifications in Finance, HR & Information Technology brings in 14 years of Industry experience. He has successfully trained 9500+ professionals by now, and the counting is still on.

He has undertaken assignments with the renowned IRS, The World Bank, Tata Chemicals, Buckman Laboratories, Standard Chartered, ING Barings and much more. His nature of going that Extra Mile has got him the startling popularity amongst the Excelgoodies prominent clients.

Learner stories around the world!

Reviews

  • Trainer's Expertise
  • Course Structure
  • Course Content
  • Quality of Assignments
  • Certification Process

Scott A. Reifsynder

Chief Financial Officer

Nexterus

This class was extremely helpful in my knowledge and growth in these database, analysis and reporting tools. I really enjoyed the hands-on approach and got lots of “goodies” out of all the classes. Your approach, repetitiveness and patience is much appreciated and sincerely helped...

Josh Grenzsund

Director of Business Development

DOWL

This was a very good course where I learned high level concepts of data management (how it moves/should move) for business users, the concepts for querying and organizing data sets, the interaction and use of various tools/software, and detailed work with DAX and SQL expressions...

Tim Palacios

WFM Data Developer

World Connection

This course was excellent. Sami had a systematic approach to the course curriculum which I feel is key to most if not all learning experiences. He was very knowledgeable and very quick with troubleshooting and helping support when we had any challenges with our work...

Wendy Flowers

Financial and Business Analyst

First Light

This Power BI course was an exceptional training experience. It was very fast paced -- necessary as it covered Power Pivots, Power Query, DAX, Power BI, and SQL. Sami ran the training smoothly, staying after to help individuals with questions...

Andrea Anderson

Senior Specialist

Southern California Edison

I enjoyed the training and Sami taking the time to assist others with the concepts being taught so that everyone understood.

Learner stories around the world!