Power BI Training - New York, USA

1. Introduction to Power BI tool
2. Desktop, Service, and Mobile Apps in Power BI
3. Visualizing and analyzing data from Excel
4. Creating, sharing, and collaborating with dashboards
5. Using data from Salesforce, Azure, and SQL Server
6. Working exclusively with Quick Books and Adobe Analytics

• 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.

Power BI is a top tool that is finding increased acceptance in a city like New York due to the large number of organizations that are exclusively deploying this tool for mission-critical applications. If you are trained and certified in Power BI, then you can make the best of this exclusive job opportunity in Power BI in New York City.

Power BI is growing at a fascinating rate in the financial capital of the world, New York City. Due to some very good inherent advantages that Power BI is offering, the future for this tool in New York City is very bright. If you get trained in Power BI, then you can make the best of this growing Power BI market in New York City.

• 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

There is an urgent need among organizations to make sense of all raw data at their disposal. Hence, Power BI is steadily gaining a huge customer base among some of the top corporate clients. Intellipaat offers the most comprehensive training in Power BI that includes working on real-industry projects. Upon the completion of the training, you can apply for some of the best jobs in the Business Intelligence domain.

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.

Highlight :

• Building a Power BI dashboard
• Power BI top down analysis
• Creating Power BI visualizations.

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.

Highlights :

• Working with Power BI dashboard
• Creating Reports & visualization
• Top down & bottom up analysis