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Microsoft Full Stack Power BI course introduces you to Full Stack Power BI Desktop and how it is used with Power Pivot for Data Modelling. This course enables you to learn about Data Analysis Expressions (DAX) and Data Visualization with Full Stack Power BI Desktop, Power View and Power Map. This course will also introduce you to Full Stack Power BI Q&A, which enables you to discover, explore and visualize enterprise data using Natural Language. Enroll now to learn the best Full Stack Power BI course online.



Full Stack Power BI is a business analytics service provided by Microsoft. It provides interactive visualizations with self-service business intelligence capabilities, where end users can create reports and dashboards by themselves, without having to depend on any information technology staff or database administrator. Full Stack Power BI certification course shares knowledge on how it provides cloud-based BI services - known as Full Stack Power BI Services, along with a desktop-based interface called Full Stack Power BI Desktop. It offers Data modeling capabilities including data preparation, data discovery, and interactive dashboards.

 

Microsoft Full Stack Power BI training course will help you to become a Full Stack Power BI expert. It will enhance your skills by offering you comprehensive knowledge on Power BI , and the required hands-on experience for solving real-time industry-based Full Stack Power BI projects. In order to avail these opportunities, you need structured AWS training with an updated curriculum as per current industry requirements and best practices. Apart from strong theoretical understanding, you need to work on various real-life projects and work on different services for storage, network, database, computing, etc. Additionally, you need the advice of an expert who is currently working in the industry and tackling real-life challenges. These are the skills you will get to learn after enrolling with DeepNeeuron best Full Stack Power BI course.

 
  • Master concepts like Data Visualization and Integration
  • Learn about Power Pivot, Power View, Power Map etc
  • Understand DAX and SSBI
  • Use and implement Custom Visuals
  • Explore Full Stack Power BI Q&A
  • Perform Data Binding and Formatting
  • Master Full Stack Power BI Embedded and Workspace Collection
  • Understand and use Data Gateways,Content packs, Full Stack Power BI Report Server

The Microsoft Full Stack Power BI Training at DeepNeuron is for all the professionals who are passionate about business intelligence, data visualization, and data analytics. It is best suited for:

 
  • Business Analysts
  • Business Intelligence Manager
  • Statisticians and Analysts
  • Data Scientists
  • Project Managers


Skills Covered


Full Stack Power BI Apps

Connecting to data

Transforming data

Creating a data model

Working with DAX

Visualizing data

My SQl

SSIS

Bar charts

Full Stack Power BI Dashboards

+91-98407 62315

Full Stack Power BI Course Curriculum



  • Introduction to Microsoft Power BI
  • The key features of Full Stack Power BI workflow
  • Desktop application
  • BI service
  • File data sources
  • Sourcing data from the web (OData and Azure)
  • Building a dashboard
  • Data visualization
  • Publishing to the cloud
  • DAX data computation
  • Row context
  • Filter context
  • Analytics pane
  • Creating columns and measures
  • Data drill down and drill up
  • Creating tables
  • Binned tables
  • Data modeling and relationships
  • Full Stack Power BI components such as Power View, Map, Query, and Pivot
  • Power Q&A
  • Understanding advanced visualization

Hands-on Exercise:


  • Demo of building a Full Stack Power BI dashboard
  • sourcing data from the web, publishing to the cloud
  • creating Power tables


  • Learning about Power Query for self-service ETL functionalities
  • Introduction to data mashup
  • Working with Excel data
  • Learning about Full Stack Power BI Personal Gateway
  • Extracting data from files, folders, and databases
  • Working with Azure SQL database and database sources
  • Connecting to Analysis Services
  • SaaS functionalities of Power BI

Hands-on Exercise:


  • Connect to a database
  • import data from an Excel file
  • connect to SQL Server Analysis Service
  • connect to Power Query
  • connect to SQL Azure
  • connect to Hadoop


  • Installing Power BI
  • Various requirements and configuration settings
  • Power Query
  • Introduction to Query Editor
  • Data transformation – column, row, text, data types, adding and filling columns, number column, column formatting, transpose table, appending, splitting, and formatting data, pivot and unpivot, merge join, relational operators, date, time calculations, working with M functions, lists, records, tables, and generators
  • Filters and slicers
  • Index and conditional columns
  • Summary tables
  • Writing custom functions and error handling
  • advanced data transformations

Hands-on Exercise:


  • Install Full Stack Power BI Desktop and configure the settings
  • use Query Editor
  • write a Power query
  • and transpose a table


  • Introduction to Power Pivot
  • Learning about the xVelocity engine
  • Advantages of Power Pivot
  • Various versions and relationships
  • Strongly typed datasets
  • Data analysis expressions
  • Measures, calculated members, rows, filter and evaluation context, context interactions, context over relations, and schema relations
  • Learning about table, information, logical, text, iterator, and time intelligence functions
  • Cumulative charts, calculated tables, and ranking and rank over groups
  • Power Pivot advanced functionalities
  • Date and time functions
  • DAX advanced features
  • Embedding Power Pivot in Full Stack Power BI Desktop

Hands-on Exercise:


  • Create a Power Pivot
  • apply filters
  • use advanced functionalities like date and time functions
  • embed Power Pivot in Full Stack Power BI Desktop
  • create DAX queries for calculated columns, tables, and measures


  • Deep dive into Full Stack Power BI data visualization
  • Understanding Power View and Power Map
  • Full Stack Power BI Desktop visualization
  • Formatting and customizing visuals
  • Visualization interaction
  • SandDance visualization
  • Deploying Power View on SharePoint and Excel
  • Top-down and bottom-up analytics
  • Comparing volume and value-based analytics
  • Working with Power View to create reports, charts, scorecards, and other visually rich formats
  • Categorizing, filtering, and sorting data using Power View
  • Hierarchies
  • Mastering the best practices
  • Custom visualization
  • Authenticating a Full Stack Power BI web application
  • Embedding dashboards in applications

Hands-on Exercise:


  • Create a Power View and a Power Map
  • format and customize visuals, deploy Power View on SharePoint and Excel
  • implement top-down and bottom-up analytics
  • create Power View reports, charts, scorecards, etc.
  • add a custom visual to report
  • authenticate a Full Stack Power BI web application
  • embed dashboards in applications, categorize, filter
  • sort data using Power View
  • create hierarchies
  • use date hierarchies
  • use business hierarchies
  • resolve hierarchy issues


  • Introduction to Power Q & A
  • Intuitive tool to answer tough queries using natural language
  • Getting answers in the form of charts, graphs, and data discovery methodologies
  • Ad-hoc analytics building
  • Power Q&A best practices
  • Integrating with SaaS applications

Hands-on Exercise:


  • Write queries using natural language
  • get answers in the form of charts, graphs, etc.
  • build ad-hoc analytics
  • pin a tile and a range to the dashboard


  • Getting to understand Full Stack Power BI Desktop
  • Aggregating data from multiple data sources
  • How Power Query works in the Full Stack Power BI Desktop environment
  • Learning about data modeling and data relationships
  • Deploying data gateways
  • Scheduling data refresh
  • Managing groups, row-level security, datasets, reports, and dashboards
  • Working with calculated measures
  • Power Pivot on the Full Stack Power BI Desktop ecosystem
  • Mastering data visualization
  • Power View on Full Stack Power BI Desktop
  • Creating real-world solutions using Full Stack Power BI

Hands-on Exercise:


  • Configure security for the dashboard
  • deploy data gateways
  • aggregate data from multiple data sources
  • schedule data refresh
  • manage groups
  • row-level security, datasets, reports, and dashboards
  • work with calculated measures


  • Analyzing data with Full Stack Power BI


Report on Student Survey


A survey was conducted among many stores, in which data based on students, i.e., how much they are spending on different kinds of purchases, such as video games, indoor games, toys, books, gadgets, etc., was collected. You have to create a Full Stack Power BI report. You will get hands-on experience in Tabular visualization, matrix visualization, funnel chart, pie chart, scatter plot, SandDance plot, etc.


Case Study 1 - Full Stack Power BI Desktop, Cloud Service, and End-to-end Workflow


The case study deals with ways to design a dashboard with a basic set of visualizations and deploy it on the Full Stack Power BI cloud service. Further, a brief top-level overview of Transport Corp Data is shown using aggregated key performance indicators (KPIs), trends, Gio distributions, and filters.


Case Study 2 - Visualizations, Configuring Extended Properties, and Data Calculations DAX - Introduction


This case study explains the way to design a dashboard and perform calculations by making use of Full Stack Power BI DAX formulas. The scheduled deliveries of loads are analyzed using correlation across measures. Moreover, drill-up/drill-down capabilities and reference lines are implemented.


Case Study 3 - Combination Visualizations for Correlated Value Columns


Here, the dashboard is designed by making use of Full Stack Power BI DAX formulas to perform calculations. Bucketed categories are created to represent value measures on the categories axis. Furthermore, a scatter plot is used to identify outliers or outperformers.


Case Study 4 - Data Transformations


The case study involves designing an audit dashboard by making use of Power Query and using Query Editor to perform data modeling by applying data transformations, in turn, by managing relationships.


Case Study 5 - Data Transformations (Cont.)


Here, the dashboard is designed to analyze the trend of admissions into a State University. Query Editor is used to perform data modeling by applying transformations, such as append data, split data, column formatting, transpose table, pivot/unpivot, fill columns, merge join, conditional columns, index columns, and summary tables.



DDL (Data Definitions Language) Commands


Goal: Data Definition Commands define the syntax of a database and manipulate database objects.


Module Objectives:


  • RDBMS (Relational Database Management System) Introduction
  • Normalization in RDBMS
  • Create database objects i.e. Create Table
  • Delete database objects i. e. Delete Database
  • Alter database objects i.e. Change Column Name
  • Create, alter and delete constraints

Topics :


Relation Database Management System (RDBMS)


  • Normalization
  • Create Database objects
  • Data Types in SQL
  • Alter Table Statements
  • Drop-Table Statements
  • Various Constraints
  • Creating Views

Hands-on/Demo/Use-case:


  • Create Table With Predefine Columns
  • Add New Column to Existing Table
  • Check the constraints on a table
  • Add Primary key and Foreign Key on Table
  • Remove Unique Constraint
  • ODML (Data Manipulation Language) Commands
  • Retrieve data from multiple tables
  • Inbuilt Functions in SQL
  • Create Advance database objects

What is BI?


  • Introduction to Business Intelligence
  • understanding the concept of Data Modeling
  • Data Cleaning
  • learning about Data Analysis
  • Data Representation
  • Data Transformation

ETL Overview


  • Introduction to ETL
  • The various steps involved Extract, Transform, Load
  • Using a user's email ID to read a flat file
  • Extracting the user ID from the email ID
  • Loading the data into a database table.

Working with Connection Managers


  • Introduction to Connection Managers
  • Logical representation of a connection
  • The various types of Connection Managers
  • Flat file, database, understanding how to load faster with OLE DB
  • Comparing the performance of OLE DB and ADO.net
  • Learning about Bulk Insert
  • Working with Excel Connection Managers and identifying the problems

Working with Connection Managers


  • Introduction to Connection Managers
  • Logical representation of a connection
  • The various types of Connection Managers
  • Flat file, database, understanding how to load faster with OLE DB
  • Comparing the performance of OLE DB and ADO.net
  • Learning about Bulk Insert
  • Working with Excel Connection Managers and identifying the problems

Alumni Work At

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FAQs




You will never miss a lecture at DeepNeuron! You can choose either of the two options:



Enroll now to attend the never miss and one of the best Full Stack Power BI course class offered by DeepNeuron.



Your access to the Support Team is for a lifetime and will be available 24/7. The team will help you in resolving queries, during, and after the Full Stack Power BI certification course.

 

Full Stack Power BI is a Microsoft business intelligence tool for business analytics. This tool allows users to aggregate and share data with reports, visualizations, and other analytics tools. It helps you create reports and charts for business insights. Full Stack Power BI is available in Windows desktop app, online cloud-based software as a service, a report builder, a report server, a visual marketplace, and mobile apps for Windows, iOS, and Android tablets and smartphones.



Online certification training courses on Full Stack Power BI can help you understand how it works. You will learn to build reports and dashboards, use query editor, and understand Data Modeling and data analysis expressions.


Lifetime access to e-learning course syllabus for all of the Data Science courses included in the learning path (*only for courses)

 

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