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Microsoft

Microsoft Power BI Certification Training

47,171 Ratings

Become a Power BI expert by working on real-world case studies in just 1.5 months!

  • Get Microsoft certification from this Power BI course
  • Power BI Certification training helps you to clear the PL-300 exam
  • Get placement assistance upon course completion
  • Master Data Visualizations, Reports, Charts, and Maps through Real-World Projects

Power BI Training Key Highlights

24 Hrs Instructor Led Training
16 Hrs Self-paced Videos
30 Hrs Project & Exercises
Certification
Job Assistance
Flexible Schedule
Lifetime Free Upgrade
Mentor Support
Trustpilot 3109
sitejabber 1493
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Power BI Certification Course Overview

What will you learn in this Power BI Training?

As a part of this online Power BI Certification Course:

  • You will master the technique of creating visually appealing and insightful charts, graphs, and reports by deploying this tool in real business scenarios.
  • Use Salesforce Data, Azure SQL Database, and SQL Server analysis tabular data.
  • You will be working on real-time projects designed by industry experts.

Here are some Power BI jobs that are available after getting certified in a Power BI Course, along with their job profiles and salary trends:

Job Title Average Salary (USD) 2023-2024 Trend
Power BI Developer $115,500 10% increase
Power BI Analyst $93,500 10% increase
Power BI Consultant $132,000 10% increase
Power BI Architect $165,000 10% increase
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Everything is going to be connected to cloud and data. All of this will be mediated by software. - Satya Nadella, Microsoft CEO
Data is a precious thing and will last longer than the systems themselves. - Tim Berners-Lee, Inventor of the World Wide Web

Power BI Certification Training Career Transition

55% Average Salary Hike

$1,30,000 Highest Salary

12000+ Career Transitions

300+ Hiring Partners

Career Transition Handbook

*Past record is no guarantee of future job prospects

7+ Skills Covered

Connecting to data

Transforming data

Creating a data model

Working with DAX

Visualizing data

Power BI cloud

Building line graphs, bar charts, and dashboards

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Power BI Course Fees

One on One Training

  • Duration - 20 Hrs
  • Lifetime access for recorded session
  • Interview preparation

$1,299

Online Classroom Preferred

  • Everything in self-paced learning
  • 24 Hrs of instructor-led training
  • One-to-one doubt resolution sessions
  • Attend as many batches as you want for a lifetime
  • Job assistance
Weekend (Sat-Sun)

24 Nov 2024 08:00 PM - 11:00 PM
Weekday (Tue-Fri)

26 Nov 2024 07:00 AM - 09:00 AM
Weekend (Sat-Sun)

30 Nov 2024 08:00 PM - 11:00 PM
Weekday (Tue-Fri)

03 Dec 2024 07:00 AM - 09:00 AM
$ 399 $299 10% OFF Expires in

Corporate Training

  • Customized Learning
  • Enterprise Grade Learning Management System (LMS)
  • 24x7 Support
  • Enterprise Grade Reporting

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Power BI Course Syllabus

Live Course

Module 1 - Introduction to Power BI

In the first module of this Course, you will learn the basics of Power BI

1.1 Introduction to business intelligence (BI)
1.2 Stages of business intelligence (BI)
1.3 Use cases of BI
1.4 Various BI tools
1.5 Overview of data warehouse and concepts
1.6 Introduction to Power BI
1.7 Why Power BI?
1.8 Power BI components
1.9 Power BI pricing structure
1.10 Building blocks of Power BI
1.11 Architecture of Power BI
1.12 Power BI vs Tableau vs QlikView
1.13 Introduction to Power BI desktop
1.14 Installation of Power BI desktop
1.15 The key features of Power BI workflow
1.16 Process of creating reports in Power BI

Hands-on Exercise –

  1. Demo of building a Power BI dashboard
  2. Source data from the web
  3. Publish to the cloud
  4. Create power tables
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In the second module of this Certification, you will learn the basics of data extraction

2.1 Overview of Power BI desktop
2.2 Data sources in Power BI
2.3 Using files (excel, pdf, csv, etc.) as a data source
2.4 Using SaaS connectors
2.5 Extracting data from folders, and databases
2.6 Working with Azure SQL database and database sources
2.7 Connecting to Analysis Services
2.8 Other data sources (OData, web, SharePoint, etc.)
2.9 Python R script in Power BI
2.10 Introduction of power query editor
2.11 Advance editor
2.12 Query dependency editor

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
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3.1 Shaping data using Power Query Editor
3.2 Formatting data
3.3 Transformation of data
3.4 Understanding of Data types
3.5 Data profiling for data quality check
3.6 Naming conventions and best practices to consider
3.7 Identify and create appropriate keys for joins
3.8 Working with Parameters
3.9 Merge Query
3.10 Append Query
3.11 Group by of data (aggregation of data)
3.12 Applied steps (query settings)
3.13 Duplicate and reference tables
3.14 Transpose of data
3.15 Fill
3.16 Pivot & Un-pivot of data
3.17 Custom columns
3.18 Conditional columns
3.19 Replace data from the tables
3.20 Split columns values
3.21 Move columns and sorting of data
3.22 Detect data type, count rows, and reverse rows
3.23 Promote rows as column headers
3.24 Hierarchies in Power BI
3.25 M query

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
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4.1 Introduction to relationships
4.2 Creating relationships
4.3 Cardinality
4.4 Cross-filter direction
4.5 Use of inactive relationships
4.6 Introduction of DAX
4.7 Why is DAX used?
4.8 DAX syntax
4.9 DAX functions
4.10 Context in DAX
4.11 Calculated columns using DAX
4.12 Measures using DAX
4.13 Calculated tables using DAX
4.14 Learning about table, information, logical, text, iterator,
4.15 Time intelligence functions (YTD, QTD, MTD)
4.16 Cumulative values, calculated tables, and ranking and rank over groups
4.17 Date and time functions
4.18 Identify poorly performing measures, relationships, and visuals
4.19 DAX advanced features

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 calculating columns, tables, and measures
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5.1 Deep dive into Power BI data visualization
5.2 Understanding Power View and Power Map
5.3 Data visualization techniques
5.4 Page layout and formatting
5.5 Power BI Desktop visualization
5.6 Formatting and customizing visuals
5.7 Visualization interaction
5.8 Custom visualization in Power BI
5.9 Top-down and bottom-up analytics
5.10 Drill down
5.11 Drill through
5.12 Page navigations
5.13 Bookmarks
5.14 Selection pane to show/hide visuals
5.15 Comparing volume and value-based analytics
5.16 Combinations charts (dual axis charts)
5.17 Filter pane
5.18 Slicers
5.19 Use of Hierarchies in drill down analysis
5.20 Theme for corporate standards
5.21 Power BI template for design reusability
5.22 Mastering the best practices
5.23 Performance analyzer in Power BI for monitoring performance of report
5.24 Power BI Q&A (Natural Language Query visual)
5.25 Sync slicers
5.26 Tooltips and custom tooltips
5.27 Tables and matrix
5.28 Conditional formatting on visuals
5.29 Waterfall chart, KPI, Donut chart, Scatter chart
5.30 Geographical data visualization using Maps

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
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6.1 Introduction to Power BI service
6.2 Introduction of workspaces
6.3 Dashboard
6.4 Creating and configuring dashboards
6.5 Dashboard theme
6.6 Reports vs Dashboards
6.7 Building workspace apps
6.8 Sharing reports and dashboards
6.9 configure subscriptions and data alerts
6.10 Paginated report
6.11 Introduction to Power Q & A
6.12 Ask questions about your data using natural query language
6.13 Getting answers in the form of charts, graphs, and data discovery methodologies
6.14 Configure custom questions for Q&A like FAQ
6.15 Ad-hoc analytics building
6.16 Power Q&A best practices
6.17 Quick Insights
6.18 Subscribe, alerts, usage statics, related content
6.19 Design reports on Power BI service
6.20 Collaboration using Power BI service
6.21 Row level security (RLS)
6.22 Introduction of paginated reports
6.23 Introduction of Power BI report server

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 the dashboard
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7.1 Understanding Power BI desktop settings
7.2 Aggregating data from multiple data sources
7.3 Power BI service settings
7.4 Power BI admin portal
7.5 Administration activities
7.6 Power BI usage analysis
7.7 Introduction of Office 365 admin activities
7.8 Introduction of Data Gateway
7.9 Installation and configuration of data gateways
7.10 Scheduling auto data refresh
7.11 Managing groups, row-level security, datasets, reports, and dashboards
7.12 Real-time data analysis using direct connectivity
7.13 Direct query vs import mode

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
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8.1 Introduction to embedded Power BI
8.2 Create embedded code
8.3 Manage embedded code
8.4 Integration of Power BI in SharePoint
8.5 Introduction of Power BI API
8.6 Power BI embedded playground
8.7 Introduction to Power BI Mobile
8.8 Creating mobile-based reports and dashboards
8.9 Optimizing report for Power BI mobile app
8.10 Features of Power BI mobile app
8.11 Introduction of integrating Power BI & Excel
8.12 Power BI Analyze in Excel

Hands-on Exercise –

  1. Design Power BI reports for mobile app
  2. Power BI embedded demo
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Coming to the last module of this Power BI Certification Course, you will learn advanced Power BI and Power BI Premium.

Hands-on Exercise –

  1. Demo of data flow
  2. Demo of deployment pipelines
  3. Demo of incremental load of data in Power BI
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Power BI Training Projects

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What is the PL-300 Exam used for?

The PL 300 Exam assesses candidates’ proficiency in identifying business requirements, cleansing and transforming data, creating data models, and providing actionable insights. Also, it analyzes proficiency to execute self-service analytics and deploy solutions for consumption using Power BI. After completing the online training and clearing the PL-300 Certification Exam, you will have the capability to collaborate with key stakeholders and deliver quality service based on business requirements.

The cost of Exam PL-300: Microsoft Power BI Data Analyst is $165 USD for the US and ₹4800 INR for India.

The PL-300 Power BI Certification Exam will be valid for one year. After that, your Microsoft Data Analyst certification will not be valid anymore and will require renewal. However, the certificate you get after the course completion from Intellipaat is in line with Microsoft and is valid for a lifetime.

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FAQs

What is Power BI?

Power BI is a business intelligence tool used for the purpose of data visualization, creating immersive dashboards, and generating reports for an organization. It has intuitive tools that enable the professional to represent the data in a user-friendly way. These tools allow you to share data with other people in the form of reports or dashboards. Learn more about its concepts through this online Power BI Certification.

Yes, Power BI Training is definitely worth it. It helps you gain the necessary skills to create stunning visualizations and perform data analysis efficiently. Plus, it opens doors to numerous career opportunities in the fields of Data Analytics and Business Intelligence.

Learning Power BI online from Intellipaat provides a distinct edge with industry-relevant content, expert instructors, and hands-on projects. This Power BI Certification course focuses on practical skills, ensuring you can apply your knowledge in real-world scenarios, making you job-ready upon completion.

No, this course is designed to accommodate learners of all levels. With this online Power BI Training, structured curriculum, hands-on labs, and expert guidance, even beginners can grasp concepts easily.

Several organizations are actively recruiting Power BI professionals, such as Microsoft,  Dell, Google, Adobe, Oracle, Salesforce, and many more. These companies value Power BI skills for data visualization and business intelligence.

To enroll in this Microsoft Power BI Course, you need to visit the Intellipaat website, choose the Power BI Training, and follow the simple enrollment process online.

Intellipaat offers certification programs in Business Intelligence such as Business Intelligence Masters, Tableau, MSBI, ETL, Informatica, Cognos, Qlikview, SSIS, SSRS, MicroStrategy, SSAS, Data Warehousing, OBIEE, Oracle Hyperion, Pentaho, Jaspersoft, Tibco Spotfire, Talend, SQL, Salesforce, Selenium, etc.

The course fee does not include the PL-300 Certification Exam. In the course fee, you only pay for Microsoft Power BI Training and not for the Power BI Certification Exam.

You should get access to the Training as soon as possible after signing up. The exact duration may vary depending on the course and your enrollment status.

Intellipaat has plenty of free online learning materials to help you understand the basics of Power BI before joining the course, such as: What is Power BI, Power BI tutorial, and Power BI interview questions.

There are 3 technical 1:1 sessions per month that will be allowed during this Power BI Certification.

Intellipaat offers query resolution, and you can raise a ticket with the dedicated support team at any time. You can avail yourself of email support for all your queries. We can also arrange one-on-one sessions with our support team If your query does not get resolved through email. However, 1:1 session support is given for 6 months from the start date of your course.

Intellipaat provides placement assistance to all learners who have completed the training and moved to the placement pool after clearing the PRT (Placement Readiness Test). More than 500+ top MNCs and startups hire Intellipaat learners. Our alumni work with Google, Microsoft, Amazon, Sony, Ericsson, TCS, Mu Sigma, etc.

No, our job assistance is aimed at helping you land your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and find a well-paid job, matching your profile. The final hiring decision will always be based on your performance in the interview and the requirements of the recruiter.

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