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Power BI Training in Bangalore

Join the Power BI Training Institute in Bangalore to Master Data Analysis and Business Intelligence Skills.
Our Power BI Course in Bangalore Covers Power Query, DAX, Power Pivot, Data Modeling and Interactive Dashboards.
Learn at Your Convenience with Flexible Options: Weekday, Weekend or Fast-track Batches.
Gain Hands-on Experience by Working on Real-world Scenarios Guided by Power BI Experts.
Earn a Globally Recognized Power BI Certification with Placement Assistance.
Receive Expert Guidance in Building a Strong Resume and Excelling in Interviews.

WANT IT JOB

Become a Power BI Developer in 3 Months

Freshers Salary

3 LPA

8 LPA

Quality Training With Affordable Fees in Bangalore!

INR ~~₹33000~~

INR ₹30680

9598+

(Placed)

Freshers To IT

4582+

(Placed)

NON-IT To IT

7198+

(Placed)

Career Gap

3189+

(Placed)

Less Then 60%

550+ Students Placed Every Month Be The Next!

Our Hiring Partners

Overview of the Power BI Course

Our Power BI Training in Bangalore is designed for freshers to learn data analysis and business intelligence from scratch. You will get hands-on experience with Power BI tools, dashboards and reports. The course includes real-time projects and Power BI Internships in Bangalore to build practical skills. We provide complete guidance for Power BI Placement opportunities in top companies. You will also learn to handle data modeling, DAX and interactive visualizations with ease. By the end of the course, freshers will be confident in using Power BI for real-world business problems.

What You'll Learn From Power BI Certification Course

Master the core features of Power BI, including data visualization, dashboards and reporting techniques for real-world business use.

Gain hands-on experience in connecting, transforming and modeling data from multiple sources efficiently.

Work on live projects and case studies to understand practical business scenarios and enhance analytical skills.

Learn advanced Power BI functions like DAX, Power Query and data automation to streamline reporting.

Develop expertise in interpreting data insights and making data-driven decisions with confidence, including Power BI Training in Bangalore.

Earn a globally recognized certification and prepare for career opportunities with guidance on placements and interview readiness.

Additional Info

Course Highlights

Start your Power BI journey in Bangalore by mastering data modeling, DAX, Power Query, report building and interactive dashboards in one comprehensive course.
Receive dedicated job support with Power BI Placement opportunities from top companies hiring skilled professionals.
Join thousands of students trained and successfully placed through our strong network of industry partners in Bangalore.
Learn from expert instructors with over 10 years of experience in Power BI, analytics and business intelligence.
Benefit from beginner-friendly lessons, hands-on projects and complete career guidance to support your learning at every stage.
Choose flexible batch timings, affordable fees and full placement assistance, designed specifically for freshers and career changers in Bangalore.

Benefits You Gain from an Power BI Course in Bangalore

Easy Data Visualization – Power BI helps you turn complex data into clear charts, graphs and dashboards, making it easy to spot trends and patterns. Its interactive visuals allow users to explore and understand data without technical expertise. This saves time and improves decision-making. Businesses can quickly grasp insights and act effectively.
Real-Time Insights – Power BI connects to live data sources, providing real-time updates on business performance. Users can track key metrics and respond instantly to changes or opportunities. This ensures decisions are accurate and timely. Teams can stay informed and act proactively on important business matters.
Data from Multiple Sources – Power BI is capable of combining data from various sources, like databases, Excel files, cloud apps and more. This provides a complete view of business operations in one place. Users no longer need to switch between tools or files. Reporting becomes faster, simpler and more efficient.
Advanced Analytics – DAX, Power Query and AI visualizations are some of the elements that Power BI provides for more in-depth data analysis. Users can quickly determine patterns, forecast outcomes and compute trends. Effective data analysis and interpretation is something that even novices can learn. This aids companies in making data-driven confident decisions.
Easy Sharing and Collaboration – Power BI makes it simple to share dashboards and reports with your team securely. Everyone can access the same data anytime, anywhere, improving collaboration. Teams can plan and communicate better using accurate information. Decisions are always based on the latest and most reliable data.

Important Tools Covered in Power BI Training

Power BI Desktop – Power BI Desktop is primary application for creating reports and dashboards on your computer. It allows to connect to multiple data sources and transform raw data into meaningful insights. You can build interactive visuals, charts and graphs easily. This tool is essential for preparing data before publishing it online.
Power BI Service – The cloud-based platform for publishing, sharing and working together on reports is called Power BI Service. Teams can access dashboards anytime and anywhere through a web browser. It allows real-time updates and collaboration for better decision-making. This makes it easy to share insights with colleagues or clients securely.
Power BI Mobile – Power BI Mobile is an app for smartphones and tablets that lets view dashboards and reports on the go. You can get real-time notifications and stay updated with key metrics anywhere. It ensures you never miss important business insights while away from your desk. This tool is perfect for managers and business users who travel frequently.
Power Query – Power Query is a tool within Power BI used to extract, clean and transform data before analysis. Without scripting, you may mix data from numerous sources and customize it to meet your specific requirements. It saves time and reduces errors in preparing data. Clean and organized data helps create accurate reports and dashboards.
Power Pivot – Power Pivot is used to create advanced data models and perform calculations on large datasets. It allows you to analyze data from different tables using relationships and DAX formulas. This tool helps in performing complex calculations easily. Businesses can make better data-driven decisions using insights from Power Pivot.

Top Frameworks Every Power BI Should Know

Microsoft Power Query Framework – Power Query is the data preparation framework in Power BI that helps you extract, transform and load data from multiple sources. It allows you to clean and shape raw data without complex coding. Users can automate repetitive tasks and combine datasets efficiently. This framework ensures that your data is accurate and ready for analysis.
DAX (Data Analysis Expressions) Framework – DAX is a formula and calculation framework used in Power BI for data modeling and analysis. It helps create custom calculations, aggregations and business metrics. Learning DAX allows you to analyze large datasets quickly and generate meaningful insights. This framework is essential for advanced reporting and decision-making.
Power BI Service Framework – The Power BI Service framework enables cloud-based collaboration and sharing of reports and dashboards. It allows multiple users to view, interact and comment on data in real time. Users can schedule data refreshes and access insights from anywhere. This framework is key for team-based reporting and decision-making.
Power BI Visuals Framework – The Visuals framework in Power BI provides a library of interactive charts, graphs and visuals. Users can customize and create visuals to represent data in the most meaningful way. It supports third-party visuals to enhance reporting capabilities. This framework makes data presentation more engaging and easy to interpret.
Power BI Data Modeling Framework – The Data Modeling framework allows you to define relationships between tables and create structured datasets. It helps organize and store data efficiently for analysis. Using this framework, you can perform complex calculations and gain deeper insights. It is fundamental for building accurate and high-performing Power BI reports.

Essential Skills You’ll Learn in a Power BI Training in Bangalore

Data Visualization Skills – In Power BI, you’ll learn how to create charts, graphs and interactive dashboards that make complex data easy to understand. You can present insights in a visually appealing way for managers and stakeholders. This skill helps communicate trends, patterns and business metrics effectively. Strong data visualization ensures faster and clearer decision-making.
Data Modeling Skills – Power BI teaches you how to organize and structure data using tables, relationships and hierarchies. You can combine multiple datasets and create a unified view of your business information. This skill is essential for accurate analysis and reporting. Data modeling helps you prepare data for deeper insights and advanced calculations.
DAX and Advanced Analytics Skills – You’ll gain proficiency in DAX (Data Analysis Expressions) to perform calculations, aggregations and create business metrics. Advanced analytics skills allow you to forecast trends and identify patterns in large datasets. This skill helps in making data-driven decisions confidently. Even beginners can quickly learn to perform complex analyses.
Data Transformation and Cleaning Skills – Power BI trains you to clean, filter and transform raw data using Power Query and other tools. This ensures that your data is accurate, consistent and ready for reporting. You can handle errors, missing values and combine data from multiple sources efficiently. Clean data leads to reliable and professional-quality dashboards.
Report Sharing and Collaboration Skills – You will discover how to use Power BI Service to safely share dashboards and reports with teams and stakeholders. This ability facilitates real-time cooperation and enhances departmental communication. You can guarantee that everyone sees the most recent insights, schedule updates, and offer access control. Better teamwork and quicker decision-making are guaranteed by collaborative reporting.

Key Roles and Responsibilities of Power BI Profession

Power BI Developer – Creating interactive dashboards and reports is the responsibility of a Power BI developer. They establish connections with various data sources and convert unprocessed data into insightful knowledge. Making graphics that aid stakeholders in comprehending business performance is part of the job description. Additionally developers improve reports for usability and speed.
Data Analyst – A Data Analyst uses Power BI to interpret business data and identify trends, patterns and anomalies. They prepare and clean data, ensuring it is accurate and consistent for reporting. Analysts provide actionable insights that support strategic business decisions. Collaboration with teams ensures data-driven strategies are implemented effectively.
Business Intelligence (BI) Consultant – BI Consultants guide organizations on how to use Power BI for improved decision-making. They analyze business requirements, design dashboards and recommend reporting solutions. The role involves ensuring data aligns with business goals and provides maximum value. Consultants also train teams to use BI tools effectively.
Power BI Administrator – Power BI Administrators manage the Power BI environment, including user access, data security and system updates. They ensure dashboards and reports are available to the right users at the right time. Administrators also monitor performance and troubleshoot any issues. Their work maintains smooth operation and data integrity across the organization.
Data Modeler – Within Power BI a data modeler defines linkages, hierarchies and computed metrics to organize data. They guarantee that datasets are arranged for precise reporting and analysis. Creating data models to support intricate business problems is part of this job. Teams can provide insights more rapidly and make well-informed decisions when modeling is done correctly.

Why Power BI is the Smart Choice for Freshers

High Demand for Power BI Professionals – Power BI specialists are in high demand since businesses in many sectors rely on data to make decisions. There are numerous options for newcomers with Power BI training to enter this expanding profession. Businesses seek experts who can transform data into insights that can be put to use. Because of this, Power BI abilities are extremely valuable in today's workforce.
Strong Salary Potential – Power BI professionals often earn competitive salaries, even at entry-level positions. Knowledge of dashboards, data visualization and analytics can lead to higher-paying roles. Employers are willing to invest in skilled candidates who can improve business decisions. This makes it an attractive career option for freshers seeking growth.
Opportunity to Work Across Industries – Proficiency in Power BI is useful in a variety of industries, including IT, retail, healthcare, and finance. Without being restricted to a single field, new hires can investigate positions in many businesses. Career options that are versatile offer stability and long-term progress. Professionals can encounter a variety of business datasets and difficulties.
Hands-On Learning and Real Projects – Live projects and internships are common components of Power BI training, giving students practical experience. Newcomers can use their knowledge to solve practical business issues. This useful information increases self-assurance and equips people for professions in the workforce. Employers find applicants with practical skills more attractive.
Path to Advanced Analytics Careers – Learning Power BI offers the way to higher positions such as data analyst, BI consultant and data scientist. It builds a solid platform for data visualization, modeling and reporting. Freshers might gradually gain experience and specialize in analytics or business intelligence. This career path provides long-term development and learning possibilities.

Landing Remote Jobs with Power BI Skills

Work with Cloud-Based Tools – Power BI enables professionals to view dashboards and insights from anywhere via the cloud. This freedom allows you to operate remotely without being bound to a physical office. Businesses can track and communicate on data in real time. Cloud-based tools make remote work more productive and convenient.
High Demand for Data Skills – Power BI specialists are needed by businesses all around the world to analyze data and produce insights. Professionals with the necessary skills can work for companies anywhere in the world. The increased dependence on data-driven decision-making has led to an increase in remote roles. Possibilities beyond local labor markets are made possible by proficiency with Power BI.
Independent Reporting and Analysis – Individuals that are skilled with Power BI can prepare, analyze and visualize data independently. Reports and dashboards can be generated and shared without ongoing oversight. This autonomy is appropriate for remote work contexts in which self-reliance is essential. Employers respect experts who can perform independently.
Collaboration Across Teams – Dashboards and results can be securely shared among team members thanks to Power BI Service. Professionals can interact and exchange ideas with colleagues virtually. Even when teams are geographically separated, this feature allows for seamless collaboration. When working remotely, productivity is increased through effective teamwork.
Opportunity for Freelance and Contract Work – Power BI skills allow professionals to take up freelance or contract projects from clients globally. Remote jobs can include creating dashboards, analyzing datasets and providing actionable insights. Flexible work arrangements suit those looking for career growth outside a traditional office. Strong Power BI expertise increases credibility with clients worldwide.

What to Expect in Your First Power BI Jobs

Learning Company Data and Systems – The first job usually involves understanding the company’s data sources, business processes and reporting systems. New employees spend time exploring datasets and getting familiar with existing dashboards. This foundation is important to create accurate and meaningful reports. Learning the company’s system ensures smoother workflow and better analysis.
Creating and Updating Dashboards – A major responsibility is building new dashboards and updating existing ones. Power BI skills are used to visualize key metrics and track performance. Dashboards need to be accurate, interactive and user-friendly. This helps teams and management make informed decisions efficiently.
Handling Data Cleaning and Preparation – Preparing raw data for analysis is a key part of the job. This includes removing errors, transforming data and combining multiple sources. Clean data ensures reports are reliable and insights are correct. Effective data preparation saves time and supports better decision-making.
Collaborating with Teams – Working with other departments to understand their reporting needs is common in the first job. Collaboration helps gather requirements and ensures dashboards meet business objectives. Power BI makes it easier to share insights and work together online. Team coordination improves the overall quality of reports and analysis.
Learning Advanced Features and Best Practices – The first role provides opportunities to explore advanced Power BI features like DAX, Power Query and automation. Employees also learn best practices for data modeling, visualization and performance optimization. Gaining expertise gradually prepares for more complex projects. Continuous learning helps in career growth and confidence in reporting tasks.

Leading Companies are Hiring for Power BI Professionals

Accenture – Accenture works on consulting, technology and analytics projects for clients across many industries. They regularly hire Power BI developers to build dashboards and BI solutions that support large enterprise clients. Working here means getting exposure to diverse business problems and learning to deliver data-driven insights at scale. Its a good fit for people who want to grow in a consulting‑driven analytics environment.
Tata Consultancy Services (TCS) – TCS offers large‑scale IT and analytics services globally and often has openings for Power BI, BI Consultant and data analyst roles. Employees get to work with big datasets and varied client requirements, which builds strong skills in data handling and reporting. Joining TCS can give a fresh graduate wide exposure to enterprise‑level projects and a stable career platform.
Infosys – Infosys is a major IT and consulting company that hires Power BI professionals for analytics and business intelligence roles. The work often involves transforming business data into insights, dashboards and visual reports that help decision‑making. Its a good place for freshers to learn from experienced teams and gain exposure to national and international clients.
Capgemini – Capgemini regularly hires Power BI developers and BI analysts and offers consulting, technology and outsourcing services. The company handles projects across domains which means working on different types of data and business problems. For someone starting out, Capgemini offers a chance to work in a collaborative environment and build a good foundation in BI and analytics.
Deloitte – Deloitte combines consulting, finance and enterprise advisory and uses Power BI for data analytics and reporting solutions for many of its clients. Roles here could involve working on business intelligence for finance, consulting or operations. Such a setting helps build strong analytical, problem‑solving and data‑visualization skills that are valuable across industries.

Upcoming Batches For Classroom and Online

Weekdays

08 - Dec - 2025

08:00 AM & 10:00 AM

Weekdays

10 - Dec - 2025

08:00 AM & 10:00 AM

Weekends

13 - Dec - 2025

(10:00 AM - 01:30 PM)

Weekends

14 - Dec - 2025

(09:00 AM - 02:00 PM)

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INR ₹30680

INR ~~₹33000~~

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Who Should Take a Power BI Training

IT Professionals

Non-IT Career Switchers

Fresh Graduates

Working Professionals

Diploma Holders

Professionals from Other Fields

Salary Hike

Graduates with Less Than 60%

Job Roles For Power BI Training in Bangalore

Power BI Developer

Business Intelligence (BI) Analyst

Data Analyst

Data Engineer

Power BI Consultant

BI Architect

Data Scientist

Reporting Analyst

Tools Covered For Power BI Course in Offline

What’s included ?

📊 Free Aptitude and Technical Skills Training

Learn basic maths and logical thinking to solve problems easily.
Understand simple coding and technical concepts step by step.
Get ready for exams and interviews with regular practice.

🛠️ Hands-On Projects

Work on real-time projects to apply what you learn.
Build mini apps and tools daily to enhance your coding skills.
Gain practical experience just like in real jobs.

🧠 AI Powered Self Interview Practice Portal

Practice interview questions with instant AI feedback.
Improve your answers by speaking and reviewing them.
Build confidence with real-time mock interview sessions.

🎯 Interview Preparation For Freshers

Practice company-based interview questions.
Take online assessment tests to crack interviews
Practice confidently with real-world interview and project-based questions.

🧪 LMS Online Learning Platform

Explore expert trainer videos and documents to boost your learning.
Study anytime with on-demand videos and detailed documents.
Quickly find topics with organized learning materials.

Power BI Course Syllabus

🏫 Classroom Training
💻 Online Training
🚫 No Pre Request (Any Vertical)
🏭 Industrial Expert

This Power BI Training in Bangalore offers complete syllabus for beginners and aspiring data professionals. You’ll learn core Power BI concepts, data modeling, DAX, report building and interactive dashboard creation. Gain practical experience through Power BI Internships and real-time projects. The course also covers data transformation, visualization and basic analytics techniques. Plus dedicated placement support helps with resume building and interview preparation.

Introduction to Power BI – Begin with the essentials of Power BI, including data visualization, data modeling, DAX formulas and creating interactive reports.
Advanced Analytics and Techniques – Deepen your skills with advanced topics like Power Query, complex calculations and automation.
Hands-On Project Experience – Apply your learning through live projects such as interactive dashboards, data-driven reports and business intelligence solutions.
Power BI Tools and Deployment – Learn to publish and share reports on Power BI Service, manage datasets and collaborate using cloud platforms and tools.

Power BI Foundamentals

Data Loading and Transformation

Data Modeling

DAX (Data Analysis Expressions)

Data Visualization Techniques

Power BI Service and Publishing

Security and Advanced Features

Understand the basics of Power BI and how it helps in data analysis:

Power BI Overview – Learn what Power BI is and why its used
Power BI Interface – Explore the layout and components of Power BI Desktop
Types of Power BI Tools – Desktop, Service and Mobile overview
Installation – Install Power BI Desktop and set up the environment
Connecting Data – Connect to Excel, CSV and other file formats

Learn to bring in data and make it ready for reporting using Power Query:

Power Query Editor – Explore the user interface for data transformation
Data Cleaning – Remove errors, blank rows and fix data formats
M Language Basics – Understand the scripting behind Power Query
Column and Row Operations – Add, remove, split and merge columns
Append and Merge Queries – Combine data from multiple sources

Organize your data for efficient reporting and performance:

Relationships – Create and manage relationships between tables
Star and Snowflake Schema – Understand data modeling structures
Calculated Columns – Add new data fields using expressions
Hierarchies – Create drill-down levels in your data
Data Categories – Tag columns as location, web URL or images

Use DAX to perform advanced calculations and metrics:

DAX Syntax – Learn DAX formulas are written
Calculated Measures – Create KPIs like total sales, profit margin, etc.
Aggregation Functions – Use SUM, AVERAGE, COUNT, etc.
Time Intelligence – Work with YTD, MTD, QTD calculations
Filter Functions – Use CALCULATE, FILTER, ALL for dynamic analysis

Create insightful visuals and dashboards:

Basic Charts – Bar, Column, Line, Pie and Donut charts
Advanced Visuals – Maps, Matrix, Waterfall, Funnel and Gauge charts
Slicers and Filters – Add interactivity to your reports
Tooltips and Bookmarks – Improve the user experience
Custom Visuals – Import visuals from Power BI marketplace

Learn to share, schedule and manage reports online:

Power BI Service – Navigate the cloud based platform
Workspaces – Organize and manage report access
Report Publishing – Upload dashboards to the Power BI Service
Dashboard vs Report – Understand the difference and use cases
Data Refresh – Schedule automatic updates for your data

Protect your data and explore advanced options:

Row-Level Security – Control who sees what data
Q and A Visual – Enable natural language queries in reports
Drill-through and Drill-down – Enable deeper data exploration
Performance Analyzer – Optimize your report speed
Export and Embed – Share reports via PDF, PowerPoint or websites

🎁 Free Addon Programs

Aptitude, Spoken English.

🎯 Our Placement Activities

Daily Task, Soft Skills, Projects, Group Discussions, Resume Preparation, Mock Interview.

Get Hands-on Experience in Power BI Projects

Project 1

Sales Dashboard

Create an interactive sales dashboard using Power BI Desktop, DAX calculations and visualizations to track revenue, trends and KPIs for real-time business insights.

Project 2

Customer Analytics

Build a customer analytics report using Power Query, data modeling and slicers to analyze customer behavior, segmentation and purchase patterns.

Project 3

Inventory Management

Develop an inventory tracking dashboard using Power BI, tables, charts and DAX formulas to monitor stock levels, reorder points and supply trends.

Project 4

Financial Performance

Make a financial report using Power BI, calculated measures and interactive visuals to track expenses, revenue and profit margins over time.

Project 5

Marketing Campaign Analysis

Create a marketing dashboard with Power BI, custom visuals and filters to analyze campaign performance, ROI and lead generation across channels.

Placement Support Overview

Today's Top Job Openings for Power BI Professionals

Power BI Developer

Company Code: MOA124

Bangalore, Karnataka

₹25,000 – ₹40,000 per month

B.E. / B.Tech / B.Sc. or equivalent in Computer Science

Exp 0–1 year

We are looking for freshers to join as Power BI Developers. Role involves preparing data models, creating dashboards, reports and visualizations using Power BI Desktop and Power BI Service. Analysts will transform raw data into actionable insights for business stakeholders.

Easy Apply

Business Intelligence Analyst

Company Code: SJB802

Bangalore, Karnataka

₹30,000 – ₹50,000 per month

B.Sc. / B.Com / B.A. / B.Tech or similar with strong numerical/analytical skills

Exp 0-1 year

Now accepting applications for BI Analysts skilled in Power BI. Responsibilities include collecting and cleaning data, building reports and dashboards for key performance indicators, and helping teams make data-driven decisions.

Easy Apply

Data Visualization Specialist

Company Code: JAG249

Bangalore, Karnataka

₹35,000 – ₹55,000 per month

B.A. / B.Sc. / B.Com / B.Tech in relevant fields

Exp 0–2 year

We’re hiring a Data Visualization Specialist with Power BI expertise. Role involves designing interactive charts, graphs and dashboards, formatting data visuals, and converting data sets into easy-to-understand visual insights for business teams.

Easy Apply

Junior BI Consultant

Company Code: LTA974

Bangalore, Karnataka

₹30,000 – ₹45,000 per month

B.Tech / B.Sc. / BBA / BCA or equivalent

Exp 0–1 year

We are seeking a Junior BI Consultant to assist in designing reporting solutions using Power BI. Tasks include gathering requirements, creating basic dashboards, data mapping and assisting senior consultants a great start for freshers in BI consulting.

Easy Apply

Data Analyst (Power BI Report Developer)

Company Code: MTY101

Bangalore, Karnataka

₹28,000 – ₹45,000 per month

Any Degree

Exp 0–2 year

We are hiring Data Analysts skilled with Power BI to clean and transform data, build data models, create reports and dashboards, and support business teams in interpreting analytics. Good fit for freshers who like data and reporting work.

Easy Apply

BI Report Developer

Company Code: GRI214

Bangalore, Karnataka

₹32,000 – ₹48,000 per month

Bachelor’s degree in IT / Computer Science / Business / Statistics

Exp 0–1 year

Now accepting applications for BI Report Developers with basic Power BI skills. Responsibilities include building and maintaining dashboards, working with data from multiple sources, and generating periodic business reports.

Easy Apply

Business Insights Analyst

Company Code: SRA664

Bangalore, Karnataka

₹30,000 – ₹50,000 per month

B.A. / B.Sc. / Economics / Statistics / Business / IT

Exp 0-2 yr

We are looking for a Business Insights Analyst using Power BI to analyze business data, generate insights, and produce visualization-driven reports for clients. Role helps freshers understand business metrics and contribute to strategic decisions.

Easy Apply

Entry-level BI Developer

Company Code: DIM224

Bangalore, Karnataka

₹30,000 – ₹42,000 per month

B.Tech / BCA / B.Sc. / B.Com / Maths / Stats or related

Exp 0–1 year

We’re hiring Entry-level BI Developers for building reports and dashboards in Power BI. Tasks include data extraction, transformation, creating models, writing basic DAX measures, and delivering dashboards for internal stakeholders.

Easy Apply

Highlights for Power BI Internships in Bangalore

Real Time Projects

1. Gain hands-on experience by working on live Power BI-based applications.
2. Understand real-world problem-solving through scenarios.

Book Session

Skill Development Workshops

1. Participate in focused sessions on trending technologies and tools.
2. Learn directly from industry experts through guided practical exercises.

Book Session

Employee Welfare

1. Enjoy benefits like health coverage, flexible hours, and wellness programs.
2. Companies prioritize mental well-being and work-life balance for all employees.

Book Session

Mentorship & Peer Learning

1. Learn under experienced mentors who guide your technical and career growth.
2. Collaborate with peers to enhance learning through code reviews and group projects.

Book Session

Soft Skills & Career Readiness

1. Improve communication, teamwork, and time management skills.
2. Prepare for interviews and workplace dynamics with mock sessions and guidance.

Book Session

Certification

1. Earn recognized credentials to validate your Power BI skills.
2. Boost your resume with course or project completion certificates from reputed platforms.

Book Session

Sample Resume for Power BI (Fresher)

1. Simple and Neat Resume Format
– Use a clean layout with clear sections like summary, skills, education, and projects.
2. List of Technologies You Know
– Mention Skills like Power BI Desktop, DAX, Power Query, Data Modeling, Report Designing, Power BI Service, Row-Level Security.
3. Real-Time Projects and Achievements
– Add 1–2 real-time projects with a short description and the tools used.

0 to 1 yr 0 to 2 yrs 0 to 3 yrs Non IT To IT Career Gap to IT Diploma to IT

Company-Specific Interview Questions from Top MNCs

1. How would you describe Power BI and its main parts?

Ans:

A Microsoft analytics tool called Power BI was created to make it simple for businesses to share insights and view data. Its major components include Power BI Desktop for creating reports, Power BI Service for cloud-based sharing and collaboration and Power BI Mobile for accessing dashboards on handheld devices. Together these components deliver a smooth and unified reporting experience.

2. How can data be connected and imported from different sources into Power BI?

Ans:

Data can be linked from sources such as Excel, SQL databases, cloud platforms and web-based APIs using the Get Data option in Power BI Desktop. After selecting the desired source type, a connection is established and the data can be either imported into the model or accessed directly. This setup enables flexible data handling based on business requirements.

3. What is DAX and how is it different from Power Query?

Ans:

DAX or Data Analysis Expressions, is a formula language used to create custom calculations after data is loaded into the Power BI model. Power Query, on the other hand, is used before loading to clean, shape and transform raw data. In simple terms, Power Query manages data preparation while DAX handles analysis and computation within the model.

4. How are calculated columns and measures distinct in Power BI?

Ans:

As part of the data model, calculated columns are generated row by row and saved as ordinary fields that can be utilized for additional logic or visualizations. Measures are effective for big datasets because they are dynamic formulas that only compute values when a visual or filter demands them. While measures concentrate on real-time aggregations, this distinction enables computed columns to store data.

5. What is row-level security in Power BI and how is it applied?

Ans:

Users can only view data that is assigned to their particular role or permission level thanks to row-level security (RLS), which restricts data visibility. In Power BI Desktop, RLS is set up by setting roles and using filters to limit table data. Users in Power BI Service are then given these responsibilities, guaranteeing safe and regulated access throughout the report.

6. What are some techniques to enhance the performance of Power BI reports?

Ans:

Simplifying intricate DAX statements, improving data models, and eliminating superfluous columns can all enhance report speed. Limiting the quantity of photos on a website and employing aggregations can also result in smoother performance. The underlying data source can manage transformations more effectively when query folding is enabled in Power Query.

7. What types of filters can be used in Power BI?

Ans:

Power BI provides several filtering levels to customize the data shown in reports. Visual-level filters apply to a single chart, page-level filters influence all visuals on a specific page and report-level filters affect the entire report. Slicers offer an additional interactive option, allowing users to adjust the displayed data dynamically while exploring insights.

8. Why is a Power BI Gateway used?

Ans:

The Power BI cloud platform and on-premises data sources are connected securely by a Power BI gateway. By enabling Power BI to retrieve data without transferring it outside of the company's local network, it guarantees that scheduled and real-time refreshes go seamlessly. This keeps dashboards current while safeguarding private information.

9. How does Power BI handle data refresh operations?

Ans:

Data refresh ensures that reports remain updated by retrieving the latest information from source systems. Automatic refreshes can be scheduled in Power BI Service and a gateway is required when dealing with on-premises data. Power BI supports both full refreshes, which replace all data and incremental refreshes, which update only new or modified records.

10. What distinguishes Import, DirectQuery and Live Connection modes in Power BI?

Ans:

Import mode loads data directly into Power BI, offering fast performance but requiring scheduled updates. DirectQuery keeps data at the source and sends live queries during interaction, allowing real-time access with possible performance delays. Live Connection links to external Analysis Services models, providing live data interaction without importing it into the Power BI model.

1. Why is Power BI used and what makes it valuable for business intelligence?

Ans:

Power BI serves as a dynamic analytics and visualization platform that transforms raw information into clear, interactive dashboards and reports. It is crucial for business intelligence because of its capacity to gather data from various sources, evaluate it fast and provide useful insights. With seamless integration across Microsoft tools, it supports organizations in spotting trends, tracking performance and making informed strategic decisions.

2. How can Power BI be linked to different data sources?

Ans:

Power BI connects to various sources such as databases, spreadsheets, cloud platforms and APIs through the Get Data feature. After choosing the source type, credentials are added to establish the link, allowing data to be imported or accessed in real time. Users can work with a variety of datasets according to project requirements because to this flexibility.

3. How do Power Query and DAX differ in Power BI?

Ans:

Power Query is used in the early stage to extract, cleanse and transform data before loading it into the model. DAX, on the other hand, is applied after data is loaded and is used to build calculations, metrics and dynamic expressions. While Power Query prepares the data structure, DAX enhances analytical depth within the final reports.

4. When should calculated columns and measures be used in Power BI?

Ans:

Calculated columns are helpful when fixed values are needed since they create new fields using row-level logic and stay stored inside the data model. Measures carry out computations in real time that change in response to user input, slicers, and filters. While measures facilitate dynamic and aggregate reporting, columns are better suited for static row-based outputs.

5. How is row-level security (RLS) configured in Power BI to restrict data visibility?

Ans:

Roles are created and filter rules are assigned to regulate which records each role can access in order to achieve row-level security. Users or groups are allocated to these roles after the report is published to the Power BI Service. By ensuring that people only see information that is pertinent to their permissions, this configuration improves security and privacy.

6. What methods are available for refreshing data in Power BI?

Ans:

Datasets can automatically update at predetermined intervals thanks to Power BI's support for both scheduled and manual refresh. Gateways guarantee constant connectivity by enabling refreshes for on-premises data sources. While incremental refresh improves efficiency for large datasets by updating just new or updated records, full refresh reloads all of the data.

7. How can performance and responsiveness be improved in Power BI reports?

Ans:

Performance is enhanced by optimizing the data model, such as removing unused tables or columns to reduce size. Simplifying DAX expressions, using aggregations and limiting visuals also improves report speed. Enabling query folding ensures transformations are processed by the source system, reducing load time in Power BI.

8. What role do bookmarks play in enhancing Power BI reports?

Ans:

Bookmarks enable users to quickly return to a particular view by capturing the current layout of a report, including images, filters and slicers. In order to facilitate interactive report flows, storytelling and guided navigation, they are frequently combined with buttons. As a result, end users get a more engaging and intuitive overall experience.

9. How do DirectQuery and Import mode differ in Power BI?

Ans:

Import mode stores data directly in Power BI, enabling fast performance and offline access but requiring refresh schedules for updates. DirectQuery keeps data at the source and fetches results in real time, supporting live insights but sometimes affecting performance. The choice between them depends on data size, update frequency and system capabilities.

10. How are table relationships managed within Power BI?

Ans:

Relationships are created by linking key columns across tables to build a connected data model. Setting cardinality, defining cross-filter directions and managing active or inactive links ensure accurate data flow. Proper relationship configuration helps visuals and calculations reflect results correctly across the entire report.

1. How can Power BI be described and in what ways does it support business reporting?

Ans:

Power BI is a data analytics and visualization platform that converts raw information into interactive dashboards and reports. It enables users to pull data from multiple sources, refine it and build meaningful visual insights. With Power BI Desktop for report creation, the cloud-based Power BI Service for sharing and Power BI Mobile for viewing, the tool streamlines modern business reporting across devices.

2. What does DAX represent in Power BI and what makes it significant?

Ans:

DAX, short for Data Analysis Expressions, is a specialized formula language used to build calculations and analytical expressions in Power BI. It supports the creation of measures, calculated columns and custom tables through functions related to aggregation, filtering and logical operations. This language strengthens data models by enabling deep, dynamic and customized analysis.

3. What types of table relationships can be built in Power BI?

Ans:

One-to-one, one-to-many, and many-to-many relationships between tables can be created using Power BI. One-to-many relationships allow one row to map to multiple rows in another table, whereas one-to-one relationships link individual rows between two tables. Multiple matches across both tables are possible in many-to-many relationships, which frequently need a bridge table to ensure accuracy.

4. How do Import mode and DirectQuery mode differ in Power BI?

Ans:

Import mode stores data inside Power BI, offering fast performance and allowing reports to operate offline, though scheduled refreshes are needed to keep data current. DirectQuery leaves information in the source system and retrieves it live during report interactions, ensuring real-time updates but sometimes slowing performance. Choosing between them depends on data volume, speed needs and system capacity.

5. What are KPIs in Power BI and how do they function?

Ans:

KPIs or Key Performance Indicators, are visuals that display how a business metric is performing compared to its target. They typically show the current value, the expected goal and a visual indicator signaling progress or deviation. These visuals help organizations quickly identify performance trends and understand whether objectives are being achieved.

6. What categories of data sources can Power BI connect to?

Ans:

Numerous data sources, including cloud platforms like Azure, Snowflake and BigQuery as well as conventional databases like SQL Server, Oracle and MySQL are integrated with Power BI. It also supports files such as Excel, CSV, XML and JSON, along with APIs and services like SharePoint and Dynamics 365. This broad compatibility makes it adaptable to diverse data environments.

7. How does Power BI assist in monitoring performance using KPIs?

Ans:

Power BI tracks performance by visualizing actual results against defined targets through KPI visuals. These visuals highlight progress using indicators such as symbols or color coding, making trends easy to interpret. By instantly revealing whether metrics are on track, underperforming or exceeding expectations, KPIs enhance business monitoring and decision-making.

8. What is the purpose of Power Query Editor in Power BI and how is it used?

Ans:

Power Query Editor serves as the environment for connecting to, cleaning and shaping data before loading it into the report model. It supports operations like adjusting data types, removing duplicates, filtering records and combining columns. Through its user-friendly, code-free interface, the tool streamlines data preparation and ensures clean, structured datasets for reporting.

9. What are hierarchies in Power BI and why are they beneficial?

Ans:

Hierarchies organize data into layered levels that allow users to drill down from summary views to detailed insights. For example, time-based hierarchies may include Year → Quarter → Month → Day, while location data may follow Country → State → City. These structures improve report navigation and enhance interactivity by enabling smooth exploration of complex datasets.

10. What data connectivity options does Power BI provide?

Ans:

Power BI supports Import mode, DirectQuery and Live Connection as its primary connectivity methods. Import mode loads data into Power BI for fast querying, while DirectQuery maintains live connections to source systems. Live Connection works specifically with SQL Server Analysis Services models, enabling real-time analysis without importing data into Power BI.

1. In what ways does Power BI differ from Excel for performing data analysis?

Ans:

Power BI provides a more advanced environment for creating visual reports and interactive dashboards compared to Excel’s spreadsheet-based approach. It is designed to manage larger datasets, integrate multiple data sources and deliver highly dynamic analytics. With features like automated refresh, real-time updates and seamless sharing, Power BI offers a modern business intelligence experience not possible in Excel.

2. How does Power BI carry out data extraction and transformation using Power Query?

Ans:

Power Query functions as Power BI’s ETL engine, enabling users to connect to data sources, refine the data and prepare it for reporting. Through its interface, tasks such as filtering, merging, splitting and reshaping data can be completed without coding. Once the transformation steps are applied, the prepared data is loaded into the data model, ensuring it is structured and ready for analysis.

3. What is DAX in Power BI and which functions are used most frequently?

Ans:

DAX or Data Analysis Expressions, is Power BI’s formula language for building customized calculations like measures and calculated columns. It extends Excel-like logic but with more analytical power for dynamic modeling. Common DAX functions include SUM for totals, AVERAGE for averages, CALCULATE for advanced filtering and IF for conditional expressions, all of which enhance the intelligence of reports.

4. How are table relationships created and managed within Power BI?

Ans:

Power BI forms relationships by linking tables through shared fields such as IDs or codes, allowing data to interact seamlessly across the model. It supports one-to-one, one-to-many and many-to-many relationship types depending on the dataset structure. Once established, these connections allow multiple tables to feed a single report without manually merging records, resulting in accurate and consistent analysis.

5. What distinguishes Import mode from DirectQuery mode in Power BI?

Ans:

Import mode stores data directly inside Power BI, enabling fast performance and offline usage, though periodic refreshes are needed. DirectQuery avoids storing data and instead retrieves information directly from the source in real time during report interactions. Import mode is ideal for speed and flexibility, while DirectQuery is useful for massive or frequently updated datasets requiring live access.

6. How are slicers added and used to filter data within Power BI reports?

Ans:

Slicers act as interactive filters that let users control what information appears in visuals. Adding a slicer involves placing a field into a slicer visual, after which users can select items to instantly filter the entire report. This feature allows viewers to explore data intuitively without modifying the report’s actual structure.

7. What is row-level security in Power BI and how is it implemented?

Ans:

Row-level security (RLS) restricts data visibility so users only see the portion of data assigned to their role. Implementing RLS involves creating roles, setting filter conditions in Power BI Desktop and assigning users to those roles in the Power BI Service. This framework ensures sensitive or region-specific information is accessed only by authorized individuals.

8. What steps can be taken when a Power BI report experiences performance issues?

Ans:

Improving Power BI performance can involve reducing data model size, removing unnecessary fields and simplifying complex DAX expressions. Limiting visuals on a page, enabling query folding and using aggregation tables can also enhance speed. Performance Analyzer provides insights into slow visuals and helps optimize loading times effectively.

9. How can Power BI reports be published and shared with other users?

Ans:

Reports are published from Power BI Desktop to the Power BI Service, where they can be shared with individuals or added to collaborative workspaces. Users can be granted direct access and reports can also be embedded in platforms like Teams or SharePoint. Automated email subscriptions further ensure that report consumers receive updates effortlessly.

10. What features does Power BI Service provide and how does it differ from Power BI Desktop?

Ans:

Power BI Service offers a cloud-based environment for hosting, sharing and managing reports created in Power BI Desktop. While Desktop focuses on building and designing reports, the Service handles scheduling refreshes, controlling access and enabling collaboration. It ensures dashboards can be viewed from any location, serving as the distribution and interaction layer for the analytics ecosystem.

1. How can Power BI be described and what main components enable its functionality?

Ans:

Power BI is a Microsoft analytics platform designed to connect data sources, prepare data and generate interactive dashboards for business intelligence. Its major elements include Power BI Desktop for building reports, the Power BI Service for publishing and collaboration and Power BI Mobile for accessing insights on portable devices. Together, these components create a complete environment for data analysis.

2. In what ways does Power Query help prepare and transform data inside Power BI?

Ans:

Power Query serves as Power BI’s primary tool for shaping raw data into a structured format suitable for reporting. It allows users to link a number of sources and perform transformations such as filtering, cleaning, dividing, merging and modifying data types using a simple interface. This ensures the data model is accurate, consistent and ready for visualization.

3. What role does DAX play in Power BI and how does SUM differ from SUMX?

Ans:

DAX (Data Analysis Expressions) is the calculation language used in Power BI to create sophisticated measures, calculated columns and tables. While SUM performs a straightforward total of values within a single column, SUMX evaluates each row in a table and then computes the sum based on an expression. This makes SUMX useful for more detailed and dynamic calculations.

4. What is meant by a data model in Power BI and why is it an essential part of reporting?

Ans:

A data model in Power BI represents the organized structure of tables, relationships and calculations that define how data interacts across the report. It enables information from different sources to function together in a unified analytical framework. A well-designed model improves performance, accuracy and the overall effectiveness of reporting.

5. How are relationships established between different tables within Power BI?

Ans:

Relationships link tables based on shared or matching fields, such as IDs or codes, enabling data to flow correctly across the model. These connections can be created manually or detected automatically by Power BI. Most scenarios use one-to-many relationships, where a single entry in one table connects to multiple entries in another, ensuring consistent cross-table analysis.

6. What are calculated columns in Power BI and how do they differ from measures?

Ans:

Calculated columns are added to tables using DAX and are evaluated row-by-row, then stored within the data model for later use. Measures differ because they are not stored; instead, they compute results dynamically during visual interactions, making them ideal for aggregations and summary-level insights. This distinction affects performance and how the calculations behave within reports.

7. What are the differences between Power BI Service and Power BI Desktop and what functions does each perform?

Ans:

Power BI Desktop is used on a local computer to connect data, prepare datasets and design interactive visuals. Power BI Service operates in the cloud, enabling users to publish reports, set refresh schedules, manage permissions and collaborate with teams. While Desktop focuses on report creation, the Service is designed for distribution, monitoring and teamwork.

8. How can Power BI limit access so users only view the data intended for them?

Ans:

Power BI implements restricted access using Row-Level Security (RLS), which applies filters to control the visibility of specific data for different user roles. By defining security rules in the data model, users only see information related to their region, department or assigned category. This ensures sensitive data is viewed only by authorized individuals.

9. How do Import mode and DirectQuery mode differ and when is each option most suitable?

Ans:

Import mode loads data directly into Power BI, enabling faster performance and offline usage but requiring scheduled refreshes to stay current. DirectQuery retrieves information directly from the source in real time, making it ideal for very large or rapidly changing datasets, though response times may depend on source system performance. The choice depends on data size, update frequency and speed expectations.

10. Describe a situation involving a complex dashboard and the methods used to improve its performance.

Ans:

A complex dashboard with multiple datasets and visuals can experience slow performance due to heavy model size and demanding calculations. Performance improves significantly by reducing unnecessary visuals, removing unused columns, streamlining DAX expressions and introducing aggregation tables. These optimizations help the report load faster while maintaining analytical accuracy.

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What different types of certifications can someone pursue in Power BI?

PL-300: Microsoft Power BI Data Analyst Associate
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Does earning a Power BI certification improve your chances of getting hired?

A Power BI certification often strengthens job applications for data-focused roles, as it verifies your technical knowledge and practical understanding of analytics. Employers see certified candidates as more prepared and committed to their professional development. When certification is paired with hands-on practice and real project experience, it can significantly boost your visibility and competitiveness in the hiring process.

How long does it usually take to prepare for and earn a Power BI certification?

The preparation timeline varies based on your familiarity with data analytics. Beginners typically require around two to four months of study and practice to feel prepared for the exam. Learners who already understand Power BI or analytical concepts may need only three to six weeks. Regular practice, working with real datasets and reviewing official exam content help speed up the learning process.

What key advantages does a Power BI certification offer?

Key advantages of obtaining a Workday HCM certification include:

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What are the most effective ways to prepare for a Power BI certification exam?

Effective preparation methods include:

Study the official Microsoft PL-300 exam outline and learning objectives
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Power BI Course FAQs

1. What are the basic requirements to begin Power BI training?

Starting Power BI requires only fundamental computer skills and logical thinking ability. Having some background in Excel or simple data concepts can make learning smoother, but its not mandatory. Even newcomers with zero data experience can quickly adapt through structured and guided lessons.

2. Is Power BI a reliable career option for the future?

Power BI continues to be a top choice for long-term career growth due to its widespread use across industries like finance, healthcare, marketing and IT. Companies rely heavily on data-driven insights, increasing the need for Power BI professionals. This demand ensures strong job stability and growth opportunities.

3. What subjects are usually included in a Power BI training program?

Most Power BI courses begin with importing, cleaning and shaping data using Power Query, then move into data modeling techniques. Learners explore visual creation, dashboards and report building, followed by advanced areas like DAX, security settings, performance improvement and Power BI Service for sharing and collaboration.

4. Are hands-on projects included in the Power BI training?

Practical projects are a central part of learning Power BI, offering experience with real or simulated datasets. These activities help create meaningful dashboards and insights that mirror real business scenarios. Such work strengthens understanding and helps build a portfolio that showcases practical abilities.

5. Is resume support provided during the Power BI program?

Most training institutes offer resume guidance to help students highlight their technical skills, project experience and certifications effectively. This support improves visibility to recruiters and strengthens job prospects by presenting Power BI capabilities in a professional manner.

1. Who can enroll in a Power BI training course?

Power BI training is open to anyone interested in analytics, whether a student, beginner or working professional seeking upskilling. The course prepares learners for roles in reporting, business intelligence and data analysis across multiple sectors.

2. Is a college degree required to become a Power BI specialist?

A formal degree is not compulsory for building a successful Power BI career. Practical knowledge, hands-on projects and certification often matter more than academic background, enabling learners from various fields to enter BI and analytics roles.

3. What basic knowledge should learners have before joining a Power BI course?

Only essential computer knowledge and logical thinking skills are needed to get started. Awareness of Excel or databases may provide a small head start, but the course is structured to help even complete beginners progress confidently.

4. Is any programming experience needed before learning Power BI?

Power BI is intended to be user-friendly, allowing learners without coding experience to get started quickly. Although advanced tasks may involve DAX formulas, the course introduces these concepts gradually, making them accessible to all learners.

1. Does Power BI training include placement assistance?

Many Power BI programs offer comprehensive placement support, which includes resume enhancement, interview preparation and career counseling. Some institutes also partner with hiring companies or organize recruitment drives to help learners secure suitable roles.

2. Will the training include projects that can be shown to employers?

Hands-on projects form a key part of Power BI training, enabling learners to build dashboards and reports that reflect real business requirements. These projects can be exhibited in a portfolio, allowing employers to evaluate practical problem-solving abilities.

3. Can top companies be approached after completing Power BI training?

With solid understanding of Power BI, practical project exposure and relevant certification, learners can confidently apply to well-known companies. Organizations in fields such as IT, finance, retail and healthcare actively hire Power BI professionals.

4. Is placement support available for beginners with no experience?

Beginner-friendly assistance is widely provided, offering foundational training, project practice, career guidance and interview coaching. This support structure helps freshers transition smoothly into analytics and BI roles.

1. Will a certificate be provided after completing the Power BI course?

A recognized certificate is usually awarded upon course completion, confirming your Power BI knowledge and practical training. This credential enhances professional credibility and makes your profile more appealing to employers.

2. Is learning Power BI a worthwhile step for career advancement?

Power BI is a strong tool for converting raw data into meaningful insights, making it extremely useful in today's data-driven world. Learning it opens doors to numerous opportunities in analytics, reporting and decision-support roles.

3. What should learners know before beginning Power BI training?

No technical background is required; basic computer handling and reasoning skills are enough. The training gradually introduces each concept, ensuring learners without analytics or programming experience can follow comfortably.

4. How does completing Power BI training improve career prospects?

Power BI training provides essential skills used in real industry scenarios, supported by live projects and certification. This combination boosts employability and helps candidates qualify for roles in BI, data analysis and related domains.

5. What topics are included in a Power BI certification course?

A complete Power BI curriculum covers data loading and transformation via Power Query, data modeling, visual creation, DAX for calculations, row-level security, publishing through Power BI Service and performance enhancement techniques.

1. Is placement assistance available after paying the course fees?

Most institutes offer full placement support after course completion, including resume preparation, interview simulations and job search guidance. This ensures learners receive professional help while entering the job market.

2. Why do Power BI course fees differ between training institutes?

Training fees differ across institutes depending on the level of content, teaching approach, availability of study materials and the type of support provided. Centers that offer extensive practical sessions, modern tools and well-designed learning pathways often have higher pricing compared to standard programs.

3. Is Power BI training budget-friendly for new learners?

Power BI courses are generally priced to remain accessible while still delivering strong practical value. Many institutes also provide installment options or flexible payment structures to support beginners.

4. Do course fees remain the same across different cities?

Training centers usually maintain consistent pricing across locations to provide equal opportunities to learners everywhere. This helps ensure uniform access to quality Power BI education regardless of region.

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