Power BI Training Course

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Power BI is a profoundly new instrument in the possession of business undertakings who are overpowered with the measure of information nearby and as of recently didn’t have a savvy apparatus to extricate bits of knowledge from it. Upon the finishing of this Power BI course on the web, as a prepared proficient, you can begin utilizing this BI instrument, which is a bunch of devices and applications that let you remove information from numerous disconnected sources and convert it into a conveniently oversaw and cognizant arrangement of data, outwardly engaging bits of knowledge, intelligent information, diagrams, charts, and reports, and so forth Further, you will get official Power BI affirmation study material gave by Microsoft for Analyzing Data with Power BI.

What will you learn in this Power BI certification?

  1. An in-depth understanding of this BI tool and how it works in different scenarios
  2. Three vital components: Power BI Service, Desktop and Mobile Apps
  3. Visualize and analyze data and derive insights from Excel spreadsheets or local databases
  4. Create compelling reports and visualizations, derive real-time insights, and deploy them on demand
  5. Create, share, collaborate, and benefit from business information with purpose-built dashboards
  6. Get the work done without being a Business Intelligence professional
  7. Use Salesforce Data, Azure SQL Database, and SQL Server analysis tabular data
  8. Deploy content packs to work with QuickBooks online and Adobe Analytics
  9. Work on live projects to get hands-on experience.

Who should take up this Power BI Certification exam?

Below is the list of professionals who can sign up for our Power BI course:

  • Individuals looking for jobs as Business Analysts, Business Development Managers, etc.
  • Statisticians aiming to implement their statistics skills to derive business insights
  • Marketing, finance, sales, and other domain professionals who need extensive Business Intelligence

What are the prerequisites for taking up this Power BI online training?

You do not need any prior knowledge to benefit from this Microsoft Power BI training.

Why should you take up this Power BI developer course?

  • Worldwide Business Intelligence and Analytics market to grow to US$22.8 billion in next 2 years – Gartner
  • 70% of leading companies say that analytics is integral to how they make decisions – IBM Survey
  • A Senior Business Intelligence Analyst can earn US$89,000 in the United States – PayScale

Today, all business enterprises and departments need extensive business insights, and this Business Intelligence tool puts the power in your hands. You can easily work with multiple sources of data, convert the data into a report, graph, or data visualization as needed. By deploying Power BI, you get real-time insights and can deploy them faster than any other BI tool available in the market. It is open-source and highly intuitive and does not need technical knowledge or IT support. Our Power BI Microsoft certification classes will prepare you for the top-paying jobs in the market and will help you grow your career at a rapid pace.

Module 1 – Introduction to Power BI

1.1 Introduction to Microsoft Power BI
1.2 The key features of Power BI workflow
1.3 Desktop application
1.4 Power BI service
1.5 File data sources
1.6 Sourcing data from web (OData, Azure)
1.7 Building dashboard
1.8 Data visualization
1.9 Publishing to cloud
1.10 DAX data computation
1.11 Row context
1.12 Filter context
1.13 Analytics Pane
1.14 Creating columns and measures
1.15 Data drill down and drill up
1.16 Creating tables
1.17 Binned tables
1.18 Data modeling and relationships
1.19 The Power BI components like Power View, Map, Query, Pivot
1.20 Power Q & A
1.21 Understanding advanced visualization

Hands-on Exercise –

  1. Demo of building a Power BI dashboard
  2. Source data from web
  3. Publish to cloud
  4. Create power tables

Module 2 – Extracting Data

2.1 Learning about Power Query for self-service ETL functionalities
2.2 Introduction to data mashup
2.3 Working with Excel data
2.4 Learning about Power BI Personal Gateway
2.5 Extracting data from files, folders and databases
2.6 Working with Azure SQL database and database source
2.7 Connecting to Analysis Services
2.8 SaaS functionalities of Power BI

Hands-on Exercise –

  1. Connect to a database
  2. Import data from an excel file
  3. Connect to SQL Server
  4. Analysis Service
  5. Connect to Power Query
  6. Connect to SQL Azure
  7. Connect to Hadoop

Module 3 – Power Query for Data Transformation

3.1 Installing Power BI
3.2 The various requirements and configuration settings
3.3 The Power Query
3.4 Introduction to Query Editor
3.5 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
3.6 Filters & Slicers
3.7 Index and Conditional Columns
3.8 Summary Tables
3.9 Writing custom functions and error handling
3.10 M advanced data transformations

Hands-on Exercise –

  1. Install Power BI Desktop and configure the settings
  2. Use Query editor
  3. Write a power query
  4. Transpose a table

Module 4 – Power Pivot for Data Modeling and Data Analysis Expression – DAX Queries

4.1 Introduction to Power Pivot
4.2 Learning about the xVelocity engine
4.3 Advantages of Power Pivot
4.4 Various versions and relationships
4.5 Strongly typed datasets
4.6 Data Analysis Expressions
4.7 Measures, Calculated Members, Row, Filter & Evaluation Context, Context Interactions, Context over Relations, Schema Relations
4.8 Learning about Table, Information, Logical, Text, Iterator, Table, and Time Intelligence Functions
4.9 Cumulative Charts, Calculated Tables, ranking and rank over groups
4.10 Power Pivot advanced functionalities
4.11 Date and time functions
4.12 DAX advanced features
4.13 Embedding Power Pivot in Power BI Desktop

Hands-on Exercise –

  1. Create a Power Pivot Apply filters
  2. Use advanced functionalities like date and time functions
  3. Embed Power Pivot in Power BI Desktop
  4. Create DAX queries for calculate column, tables and measures

Module 5 – Data Visualization with Analytics

5.1 Deep dive into Power BI data visualization
5.2 Understanding Power View and Power Map
5.3 Power BI Desktop visualization
5.4 Formatting and customizing visuals
5.5 Visualization interaction
5.6 SandDance visualization
5.7 Deploying Power View on SharePoint and Excel
5.8 Top down and bottom up analytics
5.9 Comparing volume and value-based analytics
5.10 Working with Power View to create Reports, Charts, Scorecards, and other visually rich formats
5.11 Categorizing, filtering and sorting data using Power View
5.12 Hierarchies
5.13 Mastering the best practices
5.14 Custom Visualization
5.15 Authenticate a Power BI web application
5.16 Embedding dashboards in applications

Hands-on Exercise –

  1. Create a Power View and a Power Map
  2. Format and customize visuals
  3. Deploy Power View on SharePoint and Excel
  4. Implement top-down and bottom-up analytics
  5. Create Power View reports, Charts, Scorecards
  6. Add a custom visual to report
  7. Authenticate a Power BI web application
  8. Embed dashboards in applications
  9. Categorize, filter and sort data using Power View
  10. Create hierarchies
  11. Use date hierarchies
  12. Use business hierarchies
  13. Resolve hierarchy issues

Module 6 – Power Q & A

6.1 Introduction to Power Q & A
6.2 Intuitive tool to answer tough queries using natural language
6.3 Getting answers in the form of charts, graphs and data discovery methodologies
6.4 Ad hoc analytics building
6.5 Power Q & A best practices
6.6 Integrating with SaaS applications

Hands-on Exercise –

  1. Write queries using natural language
  2. Get answers in the form of charts, graphs
  3. Build ad hoc analytics
  4. Pin a tile and a range to dashboard

Module 7 – Power BI Desktop & Administration

7.1 Getting to understand the Power BI Desktop
7.2 Aggregating data from multiple data sources
7.3 How Power Query works in Power BI Desktop environment
7.4 Learning about data modeling and data relationships
7.5 Deploying data gateways
7.6 Scheduling data refresh
7.7 Managing groups and row level security, datasets, reports and dashboards
7.8 Working with calculated measures
7.9 Power Pivot on Power BI Desktop ecosystem
7.10 Mastering data visualization
7.11 Power View on Power BI Desktop
7.12 Creating real world solutions using Power BI

Hands-on Exercise –

  1. Configure security for dashboard Deploy data gateways
  2. Aggregate data from multiple data sources
  3. Schedule data refresh
  4. Manage groups and row level security, datasets, reports and dashboards
  5. Work with calculated measures

Module 8 – Microsoft Course

8.1 Analyzing Data with Power BI