Introduction to Microsoft Power BI, the key features of Power BI workflow, Desktop application, BI service, and file data sources, sourcing data from web (OData, Azure), building dashboard, data visualization, publishing to 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, the Power BI components like Power View, Map, Query, Pivot, Power Q & A, understanding advanced visualization.
Hands-on Exercise – Demo of building a Power BI dashboard, Source data from web, Publish to cloud, Create 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 source, 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, the various requirements and configuration settings, the Power Query, introduction to Query Editor, data transformation – column, row, text, data type, adding & filling columns and number column, column formatting, transpose table, appending, splitting, formatting data, Pivot and UnPivot, Merge Join, relational operators, date, time calculations, working with M functions, lists, records, tables, data types, and generators, Filters & Slicers, Index and Conditional Columns, Summary Tables, writing custom functions and error handling, M advanced data transformations.
Hands-on Exercise – Install PowerBI Desktop and configure the settings, Use Query editor, Write a power query, 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, Row, Filter & Evaluation Context, Context Interactions, Context over Relations, Schema Relations, learning about Table, Information, Logical, Text, Iterator, Table, and Time Intelligence Functions, Cumulative Charts, Calculated Tables, 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 calculate column, 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, Authenticate 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, Add a custom visual to report, Authenticate a Power BI web application, Embed dashboards in applications, Categorize, filter and 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, Build ad hoc analytics, Pin a tile and a range to dashboard
Getting to understand the Power BI Desktop, aggregating data from multiple data sources, how Power Query works in Power BI Desktop environment, learning about data modeling and data relationships, deploying data gateways, scheduling data refresh, managing groups and row level security, datasets, reports and dashboards, working with calculated measures, Power Pivot on 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 dashboard Deploy data gateways, Aggregate data from multiple data sources, Schedule data refresh Manage groups and row level security, datasets, reports and dashboards, Work with calculated measures
Analyzing Data with Power BI.
Project 1 : Top down and Bottoms up analysis to identify shipping costs leakages
Industry : Shipping
Problem Statement : How to deploy visualization and analytics to plug the shipping costs
Topics : In this Power BI project you will do the analysis of shipping cost leakages by building stellar BI visualizations. You will identify the outliers in the data pattern using top down analysis and flip some of the visualization data in order to perform bottom up analysis.
Project 2 – Value & Volume based analysis on hospital records to analyze Charges vs. Patients Inflow
Industry : Healthcare
Problem Statement : How to analyze the billing per patient admitted
Topics – This Power BI project is involved with working on Country wide hospital inpatients records in order to analyze the billing charges vs. the number of patient admissions. You will build a set of visualizations that is linked to the dynamic measures in order to flip some analytics from top down to bottom up on demand in order to get the desired insights.
Intellipaat is the master among Business Intelligence tools trainings. Power BI is a powerful Business Intelligence tool from Microsoft that lets you extract data from multiple and varied data sources and convert it into business insights. You will master the technique of creating visually appealing and insightful charts, graphs and reports by deploying Power BI in real business scenarios. Upon successfully completing the training, you will be awarded the Intellipaat Power BI Certification.
You will be working on real-time projects and step-by-step assignments that have high relevance in the corporate world, and the course curriculum is designed by industry experts. Upon the completion of the training course, you can apply for some of the best jobs in top MNCs around the world at top salaries. Intellipaat offers lifetime access to videos, course materials, 24/7 support and course material upgrading to the latest version at no extra fee. Hence, it is clearly a one-time investment.
This course is designed for clearing the Microsoft 70-778 Analyzing and Visualizing Data with Microsoft Power BI exam. You will also receive course completion certificate by Microsoft for “Analyzing Data with Power BI”.
As part of this training, you will be working on real-time projects and assignments that have immense implications in the real-world industry scenarios, thus helping you fast-track your career effortlessly. At the end of this training program, there will be quizzes that perfectly reflect the type of questions asked in the certification exam and help you score better marks.
Intellipaat Course Completion Certificate will be awarded upon the completion of the project work (after the expert review) and upon scoring at least 60% marks in the quiz. Intellipaat certification is well recognized in top MNCs like Ericsson, Cisco, Cognizant, Sony, Wipro, Standard Chartered, TCS, Genpact, Tata Communication, etc.