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About The Program




Microsoft Power BI course introduces you to 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 Power BI Desktop, Power View and Power Map. This course will also introduce you to Power BI Q&A, which enables you to discover, explore and visualize enterprise data using Natural Language. Enroll now to learn the best Power BI course online.



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. Power BI certification course shares knowledge on how it provides cloud-based BI services - known as Power BI Services, along with a desktop-based interface called Power BI Desktop. It offers Data modeling capabilities including data preparation, data discovery, and interactive dashboards.

 

Microsoft Power BI training course will help you to become a 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 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 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 Power BI Q&A
  • Perform Data Binding and Formatting
  • Master Power BI Embedded and Workspace Collection
  • Understand and use Data Gateways,Content packs, Power BI Report Server

The Microsoft 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


Power Bi Apps

Connecting to data

Transforming data

Creating a data model

Working with DAX

Visualizing data

Power BI cloud

Building line graphs

Bar charts

Power Bi Dashboards

Power BI Course Curriculum



  • Introduction to Microsoft Power BI
  • The key features of 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
  • Power BI components such as Power View, Map, Query, and Pivot
  • Power Q&A
  • Understanding advanced visualization

Hands-on Exercise:


  • Demo of building a 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 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 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 Power BI Desktop

Hands-on Exercise:


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


  • Deep dive into Power BI data visualization
  • Understanding Power View and Power Map
  • 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 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 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 Power BI Desktop
  • Aggregating data from multiple data sources
  • How Power Query works in the 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 Power BI Desktop ecosystem
  • Mastering data visualization
  • Power View on Power BI Desktop
  • Creating real-world solutions using 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 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 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 - 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 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 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 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.


Alumni Work At

Master Client Desktop

FAQs

  • What if I miss a Power BI online training class?

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

    • View the recorded session of the class available in your LMS.
    • You can attend the missed session, in any other live batch.

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

  • What if I have queries after I complete this Power BI course?

    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 Power BI certification course.
  • How soon after Signing up would I get access to the Learning Content?

    Post-enrolment, the LMS access will be instantly provided to you and will be available for a lifetime. You will be able to access the complete set of previous class recordings, PPTs, PDFs, assignments. Moreover, access to our 24x7 support team will be granted instantly as well. You can start learning right away.
  • Is the course material accessible to the students even after the Power BI Certification course training is over?

    Yes, access to the course material will be available for a lifetime once you have enrolled in the course. So what are you waiting for then? Get enroll with industries one of the best Power Bi course offered by DeepNeuron.

  • What is Power BI and its uses?

    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. 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.

  • How online training courses help me learn Power BI?

    Online certification training courses on 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)
    • Access to IBM cloud platforms featuring IBM Watson and other software for 24/7 practice

  • *For which all courses will I get certificates from IBM?

    Following are the list of courses for which you will get IBM certificates:

    • R Programming for Data Science
    • Python for Data Science

  • How do I earn the Master’s certificate?

    Upon completion of the following minimum requirements, you will be eligible to receive the Data Scientist Master’s certificate that will testify to your skills as an expert in Data Science.

    Course

    Course completion certificate

    Criteria
    Data Science and Statistics Fundamentals Required 85% of Online Self-paced completion
    Data Science with R Required 85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and score above 75% in the course-end assessment, and successful evaluation in at least 1 project
    Data Science with SAS Required 85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and score above 75% in the course-end assessment, and successful evaluation in at least 1 project
    Data Science with Python Required 85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and score above 75% in course-end assessment and successful evaluation in at least 1 project
    Machine Learning and Tableau Required 85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and successful evaluation in at least 1 project
    Big Data Hadoop and Spark Developer Required 85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and score above 75% in the course-end assessment, and successful evaluation of at least 1 project
    Capstone Project Required Attendance of 1 Live Virtual Classroom and successful completion of the capstone project

  • How do I enroll for the Data Scientist course?

    You can enroll in this Data Science training on our website and make an online payment using any of the following options:

    • Visa Credit or Debit Card
    • MasterCard
    • American Express
    • Diner’s Club
    • PayPal

    Once payment is received you will automatically receive a payment receipt and access information via email.

  • If I need to cancel my enrollment, can I get a refund?

    Yes, you can cancel your enrollment if necessary. We will refund the course price after deducting an administration fee. To learn more, please read our Refund Policy.

  • I am not able to access the online Data Science courses. Who can help me?

    Yes, we do offer a money-back guarantee for many of our training programs. Refer to our Refund Policy and submit refund requests via our Help and Support. portal.

  • Who are the instructors and how are they selected?

    All of our highly qualified Data Science trainers are industry experts with years of relevant industry experience. Each of them has gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only those trainers with a high alumni rating remain on our faculty.

  • What is Global Teaching Assistance?

    Our teaching assistants are a dedicated team of subject matter experts here to help you get certified in your first attempt. They engage students proactively to ensure the course path is being followed and help you enrich your learning experience, from class onboarding to project mentoring and job assistance. Teaching Assistance is available during business hours.

  • What is covered under the 24/7 Support promise?

    We offer 24/7 support through email, chat, and calls. We also have a dedicated team that provides on-demand assistance through our community forum. What’s more, you will have lifetime access to the community forum, even after completion of your course with us.

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