Power BI Training - London, UK

1. Microsoft Power BI tool fundamentals
2. Analyzing and visualizing data
3. Power BI installation and configuration
4. Sharing data and benefitting from information
5. Connecting to Salesforce, Azure, and SQL data
6. Deploying data gateway for data transfer
7. Working 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.

London is the top business and financial capital of the world. The Power BI tool is extensively used in this city. Due to this, there are huge number of job opportunities in London for professionals who are trained and certified in Power BI.

The Power BI market in London is growing at an astonishing rate, thanks to the need to extract valuable insights from diverse sets of data. If you are a trained professional in Power BI, then you can benefit from this Power BI market boom in London.

• 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

One of the defining features of Power BI is that it can extract value from any type of data and convert it into valuable insights. Intellipaat is offering an industry-designed training in Power BI that can be taken up by professionals to get the best jobs in the Business Intelligence and Analytics 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