Power BI Training - Chicago, USA

1. Introduction to Power BI tool
2. Various components of Power BI
3. Creating visualization, reports, and charts
4. Sharing insights and collaborating with stakeholders
5. Deriving insights from Excel sheet and local database
6. Working with data from Salesforce, Azure, and SQL Server

• Individuals looking for a job profile as a Business Analyst, Business Development Manager, etc.
• Statisticians aiming to implement their statistics skills to derive business insights
• Marketing, Finance, Sales, and other domain Professionals who need extensive Business Intelligence

You don’t need any prior knowledge to benefit from this Power BI training.

Chicago is a top destination for organizations from all around the world to base their businesses in and expand their operations. Due to the powerful nature of the Power BI tool, there is a huge deployment of this tool among enterprises in Chicago, and hence the job opportunities are huge and lucrative making it highly worthwhile to master this technology.

The Power BI market in Chicago, Illinois, is very hot right now, thanks to a huge number of organizations who have heavily invested in this tool from the Microsoft stable. If you are trained and certified in Microsoft Power BI, then you can make the best use of this booming market trend in Chicago, the United States.

• Worldwide Business Intelligence and Analytics market to grow to $22.8 billion in revenue in the next two years – Gartner
• 70 percent of the leading companies say that Analytics is integral to how they make decisions – IBM Survey
• A Senior Business Intelligence Analyst can earn $89,000 in the United States – PayScale

Learning Power BI will help you get ahead in your career since this technology is hugely deployed in the real-industry scenarios, and there is a huge shortage of qualified professionals in this domain. Intellipaat offers a comprehensive training in Power BI that will give you hands-on experience in mastering this top tool and get the best jobs in the domain of Business Intelligence.

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.

In this project, You have to create a Power BI Report. You will get hands-on experience on Tabular Visualization, Matrix Visualization, Funnel chart, Pie chart, Scatter plot, Sand dance plot

Project:  In United States, there are many stores in which a survey was conducted based on students i.e. How much they are spending on different kinds of purchases like Video games, Indoor games, Toys, Books, Gadgets, etc. Create a Power BI Report to demonstrate Tabular Visualization, Matrix Visualization, Funnel Chart, pie chart, scatter plot, sand dance plot. Also Restrict data access for the given users in User mapping table. Publish the report on Power BI cloud service and Design the Master Dashboard consisting of Funnel chart and scatter plots. Then create a schedule refresh for six times in every 4 hours for the Dashboard in a day.

Topics: Basic Calculation using DAX, Data Transformations, Advanced Visualisations, Advanced features of Power BI Cloud Service, Context, Gateway and Schedule Refresh, Creation of Report, Sand-Dance and Percentile, Row Level Security

Highlights:

• Tabular Visualization
• Matrix Visualization
• Funnel chart
• Pie chart
• Scatter plot
• Sand dance plot
• Advanced features of Power BI Cloud Service
• Row Level Security

Case Study 1: Power BI Desktop, Cloud Service and End to End Workflow

Problem Statement: Design dashboard with basic set of visualizations and deploy to Power BI Cloud Service. Show top level brief overview of Transport Corp data using aggregated KPIs, Trends, Geo Distributions and Filters.

Topics: Creation of Report, Publishing to Cloud

Highlights:

• Key Performance Indicator
• Creation of Report
• Publishing to Cloud

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

Problem Statement: Design dashboard to make use of Power BI DAX formulas to perform calculations. Analyze scheduled deliveries of loads. Use correlations across measures. Implement drill downs and reference lines.

Topics: DAX Introduction

Highlights:

• Enable Drill Down / Drill Up Capabilities
• DAX

Case Study 3: Combination Visualizations for Correlated Value Columns

Problem Statement: Design dashboard to make use of Power BI DAX formulas and perform calculations. Create Bucketed Categories to represent value measures on categories axis. Use scatter plot to identify outliers or outperformers.

Topics: Basic Calculation using DAX, Measures on Category Axis

Highlights:

• Calculation using DAX
• Measures on Category Axis

Case Study 4: Data Transformations

Problem Statement: Design an audit dashboard. Make use of Power Query. Use Query Editor to perform data modeling by apply transformations. Manage relationships

Topics: Data Transformations

Highlights:

• Query Editor
• Data Transformations

Case Study 5: Data Transformations -Cont.

Problem Statement: Design a dashboard to analyze the trend of admissions into state universities. Use Query Editor to perform data modeling by apply transformations like append data, split data, column Formatting, fill columns, transpose table, pivot/unpivot, merge join, conditional columns, index columns, summary tables.

Topics: Designing a Dashboard, Transformations

Highlights:

• Data modeling
• Append data
• Split data
• Column Formatting
• Transpose table
• Pivot/unpivot
• Merge join
• Conditional columns
• Index columns
• Summary tables.

Case Study 6: Advanced Visualizations

Problem Statement: Design a dashboard to analyze the trend of admissions into state universities. Use expressions and filters to build custom visualizations.

Topics: Advanced Visualizations

Highlights:

• Advanced Visualizations
• Expressions and filters
• Custom visualizations

Case Study 7: Advanced features of Power BI Cloud Service

Problem Statement: Knowledge check on Ad hoc analytics with Power BI Q&A, Dashboard Notifications and Alerts, get Data from Google Analytics and Customize Pre Loaded Visualizations

Topics: Advanced features of Power BI Cloud Service

Highlights:

• Ad hoc analytics with Power BI Q&A
• Dashboard Notifications and Alerts
• Google Analytics
• Customize Pre Loaded Visualizations

Case Study 8: Advanced features of Power BI Desktop Client

Problem Statement: Knowledge check on Advanced features of Power BI Desktop Client (Integrate Custom Visualizations and Create Sand Dance Visualization).

Topics: Advanced features of Power BI Desktop Client

Highlights:

• Integrate Custom Visualizations
• Create Sand Dance Visualization

Case Study 9: Top Down and Bottoms Up Analysis to identify Shipping Costs Leakages

Problem Statement: Build a set of visualizations to identify underlying outliers and flip the same set of visualizations to perform bottoms up analysis.

Topics: Power Bi Dashboard(Top Down and Bottom Up Analysis)

Highlights:

• Top Down and Bottom Up Analysis

Case Study 10: Value & Volume based analysis on hospital records to analyze Charges vs. Patients Inflow

Problem Statement: Build a set of visualizations linked to dynamic measures to flip analytics on user demand

Topics: Value and Volume based analysis

Highlights:

• Value and Volume based analysis