Best Power BI Course in Anna Nagar Learn Data Visualization | Updated 2025

Power BI Course for All Graduates, NON-IT, Diploma & Career Gaps — ₹30,680/- only.

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Power BI Course in Anna Nagar

  • Join Our Best Power BI Institute Training in Anna Nagar Master Data Visualization & BI.
  • Our Power BI Training in Anna Nagar Covers Data Modeling, DAX & Interactive Dashboard.
  • Get Hands-on Experience on Real-time Projects with Expert Mentorship
  • Pick from Flexible Learning Options: Weekday, Weekend, or Fast-track Batches.
  • Achieve a Recognized Power BI Certification in Anna Nagar with 100% Placement Support.
  • Receive Guidance in Resume Creation, Interview Preparation, and Career Advancement.

WANT IT JOB

Become a Power BI Developer in 3 Months

Freshers Salary

3 LPA

To

8 LPA

Quality Training With Affordable Fees in Anna Nagar!
INR ₹33000
INR ₹30680

11405+

(Placed)
Freshers To IT

5110+

(Placed)
NON-IT To IT

7412+

(Placed)
Career Gap

4412+

(Placed)
Less Then 60%

Our Hiring Partners

Overview of Power BI Course

Our Power BI Course in Anna Nagar is specially designed for freshers who want to easily learn data visualization and analytics. The Power BI Training in Anna Nagar covers all key concepts such as data modeling, report creation, and dashboard building. You will gain practical experience by working on real-time projects to strengthen your skills. Upon successful completion, you will earn a Power BI Certification recognized by leading companies. We also provide dedicated Power BI Placement Support to help you kickstart your career.

What You'll Learn From Power BI Training

Master Key Power BI Tools Like Data Modeling, Dax Formulas, Report Creation and Dashboard Design to Analyze Data Effectively.

Understand the Basics of Data Visualization, Data Transformation and Connecting Multiple Data Sources for Comprehensive Insights.

Explore Advanced Features Such as Power Query, Custom Visuals and Power BI Service for Real-time Data Collaboration.

Work on real-world business scenarios and live projects to get practical experience and develop your skills.

Learn to Create Interactive Reports That Help Drive Smart Business Decisions and Improve Overall Performance.

Finish the Power BI Course in Anna Nagar and Earn a Globally Recognized Certification that Opens Exciting Career Opportunities.

Additional Info

Course Highlights

  • Kickstart Your Power BI Course in Anna Nagar: Learn data modeling, DAX, report building, Power Query and dashboard creation in one complete course.
  • Get dedicated job support with placement opportunities from leading companies hiring Power BI professionals.
  • Join over 11,000 students trained and placed through our strong network of 350+ hiring partners.
  • Learn from expert instructors with more than 10 years of industry experience in data analytics and business intelligence.
  • Enjoy beginner-friendly lessons, real-time projects and full career guidance to support your learning every step of the way.
  • Benefit from affordable fees, flexible batch schedules and 100% placement assistance perfect for freshers and career changers.

Benefits You Gain from a Power BI Course in Offline

  • Easy Data Visualization: Power BI helps you turn complex data into clear and colorful charts and graphs. This makes it simple to understand patterns and trends. You don’t need to be an expert to create these visuals. It helps everyone see important information quickly.
  • Real-Time Data Access: Power BI allows to connect live data sources and update reports automatically. This means always see latest information without manual work. It helps businesses make faster decisions based on current data. You can trust your reports are always up to date.
  • User-Friendly Interface: Power BI is designed to be easy for beginners. You can drag and drop to build reports without coding skills. For new users, this lowers the learning curve and saves time. Even freshers can quickly start analyzing data and creating dashboards.
  • Integration with Multiple Sources: Power BI connects with many data sources like Excel, databases and cloud services. This lets combine data from different places in one report. It gives a complete view of your business information. You don’t have to switch between tools to get insights.
  • Strong Community and Support: Power BI has large user community and lots of learning resources. You can find tutorials, forums and expert advice easily. This helps to solve problems and learn new features quickly. You’re never alone when working with Power BI.

Top Tools Used in Power BI Training in Anna Nagar

  • Power BI Desktop: Power BI Desktop is a free tool used to create reports and dashboards. You can import data, clean it and design visuals all in one place. It’s beginner-friendly and perfect for learning to build interactive reports. This is the main tool you’ll use in the course.
  • Power Query: Power Query is used to clean and prepare your data before creating reports. You can remove errors, change column names, filter rows and more all without coding. It saves a lot of time by automating the data-cleaning process. It’s a must-know tool for any Power BI user.
  • DAX (Data Analysis Expressions): Power BI uses the DAX formula language to carry out computations. You can create new columns, measures and advanced metrics with simple formulas. It helps you dig deeper into your data and get meaningful insights. Learning DAX improves the power of your reports.
  • Power BI Service: The web platform Power BI Service allows to share your dashboards and results. After creating them in Power BI Desktop, you can publish them online. Teams and companies can view and interact with reports from any device. It also supports automatic data refresh.
  • Power BI Mobile App: Dashboards and reports may be seen on your phone or tablet with the Power BI Mobile App. Its useful for people who need to check data while on the go. The app is easy to use and keeps you connected to your insights anytime. It makes data access flexible and convenient.

Top Frameworks Every Power BI Developer Should Know

  • Data Modeling Framework: Data modeling is the foundation of every Power BI report. It involves organizing your data into tables and setting relationships between them. A strong data model makes reports faster and easier to understand. This framework helps to manage complex data smoothly.
  • DAX Framework: The DAX (Data Analysis Expressions) framework is used to write formulas and calculations in Power BI. It helps create custom measures, KPIs and calculated columns. Learning this framework allows developers to build smarter and more dynamic reports. It brings deeper insights from data.
  • ETL (Extract, Transform, Load) Framework: ETL is a process used to bring data from different sources, clean it and load it into Power BI. With tools like Power Query, developers can automate this process easily. This framework ensures your data is ready and accurate before creating visuals. It saves time and improves report quality.
  • Visualization Framework: This framework focuses on how data is displayed using charts, graphs and visuals. A good visualization framework helps present information clearly and attractively. It follows practices such choosing the right chart type and keeping dashboards user-friendly. It makes reports easier to understand for everyone.
  • Deployment and Sharing Framework: This framework involves publishing and sharing reports using Power BI Service. Developers use this to manage the access, set permissions and refresh data automatically. It also supports version control and collaboration. This guarantees reports are shared securely and updated in real time.

Essential Skills You’ll Learn in a Power BI Training

  • Data Visualization: You’ll learn to turn raw data into clear, attractive charts, graphs and dashboards. This skill helps you present complex information in a simple and meaningful way. Good data visualization makes it easier for others to understand trends and make decisions. It’s one of the most important skills for any Power BI user.
  • Data Modeling: Power BI teaches you learn to organize and structure data using relationships between tables. Data modeling helps you connect different data sources and build accurate reports. With this skill, your reports will be faster and more reliable. It also reduces errors in calculations and analysis.
  • DAX (Data Analysis Expressions): You’ll gain the ability to write DAX formulas to perform calculations in your reports. DAX allows you to create custom measures, time-based analysis and advanced KPIs. Its similar to Excel formulas but more powerful for large datasets. Mastering DAX makes reports smarter and more interactive.
  • Data Cleaning and Transformation: Using Power Query you’ll learn to clean and prepare data before using it in reports. This includes removing duplicates, fixing errors and organizing data into a usable format. Accurate reporting starts with clean data. This skill ensures your insights are based on reliable information.
  • Report Sharing and Collaboration: Learn to share your reports with others by publishing them to the Power BI Service. This includes setting up permissions, scheduling data refresh and allowing team collaboration. This skill helps to deliver reports that are accessible anytime, from anywhere. Its essential for working in real-world business environments.

Key Roles and Responsibilities of Power BI

  • Power BI Developer: A Power BI Developer is responsible for designing, building and maintaining interactive dashboards and reports. They work closely with data sources, create data models and use DAX for calculations. Their primary objective is to transform unstructured data into insightful knowledge.
  • Data Analyst: A data analyst uses Power BI to explore and analyze large datasets in order to find trends and patterns. They create visuals that help businesses make better decisions. Their role involves cleaning data, generating reports and presenting findings to teams. Power BI helps them turn numbers into clear, useful insights.
  • Business Intelligence Analyst: BI Analysts focus on understanding business needs and providing data-driven solutions using Power BI. They gather data from various systems, analyze it and present strategic insights. Their reports help the management to plan and improve business operations. They bridge the gap between data and business goals.
  • Power BI Consultant: A Power BI Consultant works with different clients to implement BI solutions tailored to their needs. They assess data requirements, build custom dashboards and train users on Power BI tools. Their job also includes troubleshooting and optimizing performance. They ensure clients get the most value from their data.
  • Data Engineer (with Power BI skills): Data Engineers prepare and manage large sets of data to be used in Power BI reports. They build data pipelines, integrate sources and ensure data quality. Though their main role is backend-focused, Power BI knowledge helps in building efficient models.

Why Power BI Is the Smart Choice for Freshers

  • High Demand in the Job Market: Many companies are looking for professionals who can work with data and make smart decisions. Power BI is one of the most used tools for data analysis and reporting. Learning Power BI can open doors to many job opportunities. It’s a valuable skill that employers actively search for.
  • Easy to Learn for Beginners: The user-friendly design of Power BI makes learning simple for freshers. You don’t need a coding background to get started. With simple drag-and-drop features and built-in tools, anyone can create powerful dashboards. Its perfect for those new to the tech or data field.
  • Strong Career Growth Opportunities: Starting with Power BI can lead to many advanced roles like Data Analyst, BI Developer, or even Data Scientist. As your skills grow, you can move into higher-paying and more responsible positions. The field of data is growing fast, offering long-term career paths. Its a smart investment for your future.
  • Great Salary Packages: Power BI professionals earn attractive salaries, even at the entry level. As you gain experience and improve your skills, your income can increase quickly. Many companies are willing to pay well for skilled Power BI users. It’s a great way to start a financially rewarding career.
  • Useful Across Industries: Power BI is used in almost every industry like finance, healthcare, retail and marketing. This means you can work in any sector you’re interested in. The skills you learn are flexible and in demand everywhere. It gives more freedom to choose your career path.

Landing Remote Jobs with Power BI Skills

  • High Demand for Data Skills: Companies around the world need professionals who can analyze and visualize data. Power BI is one of the top tools for this and many businesses hire remotely to find the right talent. With Power BI skills, you can apply for jobs in different countries from home. It opens global job opportunities without relocating.
  • Cloud-Based Tool for Easy Access: Accessing reports and data from any location is made possible by Power BI's compatibility with cloud services. This makes it perfect for remote work, where teams are spread across locations. You can build, update and share dashboards without needing to be in the office.
  • Project-Based Freelance Opportunities: Many companies look for freelancers or part time experts to handle data tasks and reporting. With Power BI skills, you can take up short-term or long-term remote projects. Platforms like Upwork and Fiverr offer Power BI gigs regularly. Its a great way to earn from home and build your portfolio.
  • Remote Collaboration Made Simple: Power BI makes it easy to collaborate by sharing dashboards, setting up automatic data refresh and giving team access online. These features help remote teams work smoothly and stay updated. You don’t need to attend meetings in person to share your insights.
  • Fit for Multiple Industries and Roles: Power BI is used in many industries finance, healthcare, sales and marketing all of which hire remote workers. Whether you’re applying as a Data Analyst or a BI Developer, your skills are useful across job types. This flexibility increases your chances of landing a remote job.

What to Expect in Your First Power BI Job

  • Working with Raw Data: In your first Power BI job you'll often start with messy or unorganized data. You'll be expected to clean transform and prepare it using tools like Power Query. This is basic but important step before building any reports. Learning to handle raw data is key to becoming strong Power BI professional.
  • Creating Reports and Dashboards: You’ll spend a lot of time building dashboards and reports that help teams understand their data. Using charts, tables and visuals, you’ll turn numbers into clear insights. Your reports will guide decision-making for your company or clients. Its exciting to see how your work directly supports business goals.
  • Learning Business Requirements: Before creating any report, you’ll need to understand what the team or client wants to see. This means asking the right questions and understanding the business problem. Your job will involve both technical skills and communication.
  • Team Collaboration: Even in a remote setup, you’ll work with data analysts, developers or managers. You might need to share your dashboards, take feedback and make updates regularly. Being able to work as part of a team is just as important as technical knowledge. Expect to join meetings and discuss your progress often.
  • Continuous Learning and Improvement: Power BI is a powerful tool and there’s always something new to learn like DAX formulas or advanced visual features. In your first job, you’ll be expected to improve your skills over time. Your seniors may guide you but self-learning is also important. Staying updated will help you grow quickly in your career.

Leading Companies Hiring for Power BI Professionals

  • Wipro: Wipro frequently recruits professionals from the Power BI Course in Anna Nagar for business intelligence roles. Employees work on global projects across IT, telecom, and retail. They design dashboards and deliver actionable insights.
  • Cognizant: Cognizant hires Power BI specialists trained in the Power BI Course in Anna Nagar for analytics and reporting positions. Professionals work with international clients on data-driven solutions. Roles include creating reports, handling data models, and improving business performance.
  • HCL Technologies: HCL looks for graduates of the Power BI Course in Anna Nagar to join its data analytics teams. Projects span industries like healthcare, finance, and manufacturing. Professionals build BI dashboards and ensure smooth data integration.
  • IBM: IBM recruits Power BI experts from the Power BI Course in Anna Nagar for enterprise-level projects. Professionals develop dashboards and BI solutions for global businesses. They focus on innovation, advanced analytics, and collaboration.
  • Tech Mahindra: Tech Mahindra employs graduates of the Power BI Course in Anna Nagar for roles in analytics, reporting, and BI development. Projects involve digital transformation across telecom, IT, and finance. Professionals create reports that guide smarter decision-making.
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Upcoming Batches For Classroom and Online

Weekdays
15 - Sep- 2025
08:00 AM & 10:00 AM
Weekdays
17 - Sep - 2025
08:00 AM & 10:00 AM
Weekends
20 - Sep - 2025
(10:00 AM - 01:30 PM)
Weekends
21 - Sep - 2025
(09:00 AM - 02:00 PM)
Can't find a batch you were looking for?
INR ₹30680
INR ₹33000

OFF Expires in

Who Should Take a Power BI Course

IT Professionals

Non-IT Career Switchers

Fresh Graduates

Working Professionals

Diploma Holders

Professionals from Other Fields

Salary Hike

Graduates with Less Than 60%

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Job Roles For Power BI Training

Power BI Developer

Business Intelligence (BI) Analyst

Data Analyst

Data Engineer

Power BI Consultant

BI Architect

Data Scientist

Reporting Analyst

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Tools Covered For Power BI Training

Power BI Desktop Power BI Service Power BI Data Gateway Power BI Mobile Apps Power BI Report Builder Power BI Report Server Power Query Power Pivot

What’s included ?

Convenient learning format

📊 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.
Dedicated career services

🛠️ 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.
Learn from the best

🧠 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.
Learn from the best

🎯 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.
Learn from the best

🧪 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

Our Power BI Training in Anna Nagar is structured with a comprehensive syllabus tailored for beginners and aspiring data professionals. In this Power BI Course, you will master data visualization, data modeling, Power Query, DAX formulas, and interactive report building. The curriculum also includes Power BI Service, dashboard publishing, and automated data refresh techniques. Students get practical exposure through Power BI Internships in Anna Nagar and live projects for real-world experience.

  • Introduction to Power BI – Learn the basics of Power BI, including data import, report creation and visualization.
  • Advanced Techniques – Explore DAX, data modeling and Power Query for powerful data analysis.
  • Hands-On Practice – Work with real data to build interactive dashboards and reports.
  • Deployment and Collaboration – Publish reports, schedule refreshes and collaborate using Power BI Service.
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.

Gain Hands-on Experience in Power BI Projects

Placement Support Overview

Today's Top Job Openings for Power BI Professionals

Power BI Developer

Company Code: TSV534

Chennai, Tamil Nadu

₹30,000 – ₹50,000 per month

B.Tech (CSE)/BCA//B.com

Exp 0–1 year

  • Looking for a Power BI Developer to design and build interactive dashboards and reports. Must know Power BI Desktop, DAX, Power Query and data modeling. Basic knowledge of SQL and data visualization principles preferred. Ability to work with teams and learn quickly is a plus.
  • Easy Apply

    Power BI Analyst

    Company Code: DII174

    Chennai, Tamil Nadu

    ₹28,000 – ₹45,000 per month

    Any Degree

    Exp 0-1 year

  • Hiring a Power BI Analyst to analyze business data and create insightful reports using Power BI tools. Should have skills in data visualization, report creation and basic SQL queries. Knowledge of data cleaning and transformation in Power Query is preferred. Strong communication skills required.
  • Easy Apply

    Business Intelligence (BI) Developer(Freshers)

    Company Code: IAT245

    Chennai, Tamil Nadu

    ₹35,000 – ₹55,000 per month

    B.Tech/M.Tech/B.Sc

    Exp 0–1 year

  • Seeking a BI Developer with basic experience in Power BI for creating dashboards and data models. Proficiency in DAX, Power Query and SQL is preferred but not mandatory. Willingness to learn and work with business teams to gather requirements is essential.
  • Easy Apply

    Data Visualization Specialist (Freshers)

    Company Code: BDT359

    Chennai, Tamil Nadu

    ₹30,000 – ₹48,000 per month

    B.Sc (Data Science)

    Exp 0–1 year

  • We’re looking for a Data Visualization Specialist skilled in Power BI to convert data into clear visuals. Must understand basic report designing, DAX formulas and data shaping using Power Query. Experience with multiple data sources is a bonus. Good teamwork and analytical skills are a must.
  • Easy Apply

    Power BI Reporting Analyst

    Company Code: NGS743

    Chennai, Tamil Nadu

    ₹27,000 – ₹43,000 per month

    Any Degree

    Exp 0–1 year

  • We're currently recruiting for Reporting Analyst proficient in Power BI to create and maintain business reports. Skills needed include building dashboards, data transformation and basic DAX knowledge. Familiarity with Excel and SQL is a plus. Being able to meet deadlines and paying attention to details are important.
  • Easy Apply

    Junior Power BI Consultant

    Company Code: VNT831

    Chennai, Tamil Nadu

    ₹32,000 – ₹48,000 per month

    Any Degree

    Exp 0–1 year

  • We're expanding and hiring for a Junior Power BI Consultant to assist in developing BI solutions and analyzing business requirements. Basic skills in Power BI Desktop, report generation and data visualization required. It is essential to have strong problem-solving abilities and be open to learning new skills.
  • Easy Apply

    Power BI Data Analyst

    Company Code: DWT911

    Chennai, Tamil Nadu

    ₹29,000 – ₹47,000 per month

    B.Sc/B.com

    Exp 0-2 yr

  • We have an opening for a Power BI Data Analyst to manage data extraction, cleaning and visualization tasks. Experience with Power Query and DAX preferred. Strong analytical mindset and ability to work with cross-functional teams are important.
  • Easy Apply

    Power BI Junior Developer

    Company Code: CMT698

    Chennai, Tamil Nadu

    ₹28,000 – ₹44,000 per month

    B.Sc IT

    Exp 0–1 year

  • Opportunities available for a Power BI Junior Developer to support the creation of reports and dashboards under senior guidance. Basic understanding of Power BI tools, data modeling and visualization techniques required. Eagerness to learn and improve skills is highly valued.
  • Easy Apply

    Highlights for Power BI Internships in Chennai

    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.

    Top Power BI Interview Questions and Answers (2025 Guide)

    Ans:

    To create a calculated column, open the Data view in Power BI and use the Modeling tab to enter a DAX expression. The formula generates a new column on a row-by-row basis, stored within the table. Like any other field, calculated columns can be used in visuals, relationships, and filters in your data model.

    Ans:

    A measure in Power BI is a dynamic calculation used to perform aggregations like totals, averages or counts based on user interactions. Unlike calculated columns, measures are evaluated only when used in a visual and depend on filters and context. They are written using DAX and are ideal for summarizing data across large tables without increasing the model size significantly.

    Ans:

    A slicer is a visual control in Power BI that allows users to filter the data displayed in a report. For example, you can add a slicer for "Year" or "Region," and when a user selects an option, all visuals on the page adjust accordingly. Slicers provide an interactive way for report viewers to explore data from different angles without modifying the report itself.

    Ans:

    To schedule a data refresh in the Power BI Service, go to the dataset settings after publishing your report. From there, you can specify refresh intervals daily, weekly or multiple times a day. This feature ensures your reports always show up-to-date data. If the data source is on-premises, you’ll need a gateway configured to allow secure access.

    Ans:

    DirectQuery is a connection type where Power BI sends live queries to the underlying database instead of importing data. It’s best used for very large datasets or scenarios requiring near real-time insights. However, performance may be slower compared to Import mode since every interaction triggers queries directly against the source.

    Ans:

    A report in Power BI is a multi-page document that contains various visuals, charts and tables built from a single dataset. A dashboard, on the other hand, is a single page view that aggregates visuals from one or more reports or datasets. Dashboards are ideal for giving a high-level overview while reports offer detailed and in-depth analysis.

    Ans:

    To build a hierarchy, select fields such as Year, Quarter, and Month, then right-click and choose "Create Hierarchy." This creates a structured drill-down path, enabling users to move from a broader level like Year down to Month within visuals. Hierarchies make navigating and analyzing complex datasets more intuitive.

    Ans:

    The Power Query Editor in Power BI Desktop is used for transforming and cleaning data before it enters the data model. It allows you to perform actions like removing duplicates, changing data types, filtering rows and merging tables all without writing code. These steps are applied in a sequence, ensuring consistent and repeatable data transformation.

    Ans:

    A calculated table in Power BI is created using DAX formulas within the Modeling tab. Unlike imported tables, calculated tables are generated based on logic from other tables or columns in the model. They are helpful when you need a table with filtered or aggregated data, or when you're creating relationships that require intermediate tables.

    Ans:

    The Power BI Developer API enables integration of Power BI capabilities into custom applications. Developers can embed dashboards, automate dataset and report management, and control workspaces programmatically. It is especially valuable for organizations aiming to deliver tailored analytics experiences or manage Power BI at scale.

    Company-Specific Interview Questions from Top MNCs

    1. Can you explain what Power BI is and describe its key components?

    Ans:

    Power BI is Microsoft’s business intelligence platform that helps organizations visualize data and share insights. Its key components include Power BI Desktop for creating reports, Power BI Service for cloud-based sharing and collaboration, and Power BI Mobile for accessing reports on smartphones and tablets. These tools work together to deliver a complete analytics solution.

    2. How can you connect to and load data from multiple sources in Power BI?

    Ans:

    Power BI can pull data from sources like Excel, SQL databases, web APIs, and cloud services. Using the Get Data feature in Power BI Desktop, users select the data source, configure the connection, and either import the data into the model or use it in real time, depending on the chosen mode.

    3. What is DAX and how does it differ from Power Query in Power BI?

    Ans:

    After data is put into Power BI, custom calculations and aggregations may be made using the mathematical language known as DAX or Data Analysis Expressions. Power Query, however, is a data transformation tool used before loading data into the model to clean, shape and prepare data. Essentially, Power Query handles ETL tasks, while DAX is for analysis and calculation inside the model.

    4. How do calculated columns differ from measures in Power BI?

    Ans:

    Calculated columns in Power BI are created row-by-row and stored in the data model as new data fields, which can be used in visuals or further calculations. Measures, by contrast, are dynamic calculations that are evaluated on the fly during query execution, often summarizing or aggregating data. This distinction makes measures more efficient for large datasets and interactive reporting.

    5. What is row-level security (RLS) and how can it be implemented in Power BI?

    Ans:

    Row-level security (RLS) restricts data access so that users only see information relevant to their permissions or role. In Power BI, RLS is implemented by defining security roles within Power BI Desktop, applying filter rules to tables and then assigning users to those roles via the Power BI Service. This ensures secure, role-specific data visibility.

    6. What methods are available to improve Power BI report performance?

    Ans:

    To optimize Power BI report performance, users should reduce the data model size by removing unnecessary columns and tables. Simplifying complex DAX calculations and using aggregations can also help. Additionally, minimizing the number of visuals on a page and enabling query folding in Power Query ensures queries run efficiently and reports load faster.

    7. What types of filters does Power BI offer for report customization?

    Ans:

    A variety of filters are available in Power BI to manage the visibility of data in reports. Visual-level filters affect a single visual, page-level filters apply to all visuals on a page and report-level filters impact the entire report. Additionally, slicers provide interactive filtering options that allow users to dynamically select data subsets while viewing reports.

    8. What is the purpose of a Power BI Gateway?

    Ans:

    A Power BI Gateway acts as a safe link between cloud-based Power BI services and on-premises data sources. It enables scheduled or live data refreshes by allowing Power BI to access data stored inside an organization’s local network without moving it to the cloud, ensuring that reports and dashboards display up-to-date information.

    9. How is data refresh managed within Power BI?

    Ans:

    Data refresh in Power BI ensures that datasets stay current by updating data from source systems. Users can schedule automatic refreshes in the Power BI Service and for on-premises data sources, a configured gateway facilitates this process. There are different refresh types, such as full refresh, which reloads all data and incremental refresh, which updates only new or changed data.

    10. Can you explain the differences between Import, DirectQuery and Live Connection modes in Power BI?

    Ans:

    Power BI offers three main connection modes: Import, DirectQuery and Live Connection. Import mode loads data into Power BI for fast querying but requires refreshes to update data. DirectQuery queries the data source live each time, providing real-time data but with potential latency. Live Connection connects directly to Analysis Services models, allowing live data interaction without importing it into Power BI.

    1. What exactly is Power BI and why is it important for business intelligence?

    Ans:

    Power BI is a powerful data visualization and business analytics tool created by Microsoft that helps organizations turn raw data into interactive reports and dashboards. Because it makes it simple to collect data from various sources, analyze it fast and disseminate insights to facilitate improved decision making, it is frequently used in business intelligence. With its user friendly interface and strong integration with other Microsoft tools, Power BI enables businesses to understand trends, monitor performance and uncover new opportunities.

    2. How do you connect Power BI to different kinds of data sources?

    Ans:

    Numerous data sources, including databases, Excel files, cloud services and even online APIs, can be accessed with Power BI. Using the Get Data option in Power BI Desktop, you simply select the source type, provide necessary credentials and establish the connection. Once connected, you can import the data into Power BI for analysis or use live connections depending on your needs, making it flexible for many scenarios.

    3. What is the difference between Power Query and DAX in Power BI?

    Ans:

    Power Query and DAX serve different purposes in Power BI. Power Query is used to extract, clean and transform data before it enters the data model it’s essentially the “data preparation” stage. On the other hand, DAX is a formula language used within the data model to perform calculations and create dynamic aggregations after the data is loaded. So, Power Query shapes your data upfront, while DAX helps analyze and calculate insights within the reports.

    4. What are Power BI's computed columns and measures and when are they appropriate to use?

    Ans:

    Calculated columns add new data fields to your tables by applying row-by-row calculations, which are stored in the model and useful for creating additional data points. Measures, however, are calculations performed on-demand during report interaction, often used for summaries like totals or averages. You use calculated columns when you need static data per row and measures when you want dynamic aggregations that respond to user filters and selections.

    5. How do you set up row-level security (RLS) in Power BI to control data access?

    Ans:

    Depending on their jobs, row-level security (RLS) limits the data that users can view. To implement RLS define security roles and set filter conditions on tables inside Power BI Desktop. After publishing your report to Power BI Service, assign users or groups to these roles. This setup guarantees that each user only views data they are authorized to see, providing secure and personalized reporting.

    6. What are the different ways data can be refreshed in Power BI?

    Ans:

    Data refresh in Power BI can be done manually or automatically. Scheduled refreshes allow datasets to update at set intervals, ensuring reports always reflect the latest data. For on-premises data sources, a gateway must be configured to enable refresh. Additionally, there are full refreshes that reload all data and incremental refreshes that only update new or changed data, which helps improve efficiency for large datasets.

    7. What techniques are available to enhance Power BI reports' responsiveness and speed?

    Ans:

    To speed up Power BI reports, you can reduce the size of your data model by removing unnecessary columns and tables. Simplifying complex DAX formulas and using aggregations instead of detailed calculations helps. Limiting the number of visuals on a page and enabling query folding in Power Query, which pushes transformations back to the data source, also improve performance and reduce loading times.

    8. What are bookmarks in Power BI and how do they help enhance reports?

    Ans:

    With Power BI, bookmarks let you record a report page's current state, complete with filters, slicers and images. They are useful for creating interactive storytelling by guiding users through different views or scenarios within a report. Bookmarks can be combined with buttons and navigation to build customized user experiences, making reports more dynamic and engaging.

    9. What is the difference between DirectQuery and Import modes in Power BI?

    Ans:

    Import mode brings data into Power BI’s internal storage, allowing for fast querying and offline work, but requires scheduled refreshes to stay up-to-date. DirectQuery mode, however, leaves data in the source system and queries it live every time a report is used, providing real-time data but sometimes with slower response times. Choosing between them depends on your data size, freshness needs and performance considerations.

    10. How do you manage relationships between tables in Power BI?

    Ans:

    In Power BI, relationships connect tables so you can build a unified data model. You define these relationships by matching columns (keys) in different tables, often using primary and foreign keys. Properly managing relationships ensures data flows correctly in visuals and calculations, supporting accurate analysis. You can set cardinality, cross-filter direction and manage inactive relationships to control how data interacts across your model.

    1. What is Power BI and how is it used in business reporting?

    Ans:

    Microsoft Power BI is an application for data visualization and business intelligence that assists users in transforming unstructured data into dynamic dashboards and reports. It works by allowing the users to connect a various data sources, transform the data as needed and create visualizations for analysis. The platform includes Power BI Desktop for building reports, the Power BI Service (cloud-based) for sharing and collaboration and Power BI Mobile for viewing reports on the go.

    2. What is DAX in Power BI and why is it important?

    Ans:

    DAX, or Data Analysis Expressions, is a formula language used in Power BI for performing calculations and data analysis. It helps users create custom fields like calculated columns, measures and calculated tables. DAX includes a wide range of functions such as aggregations (e.g., SUM, AVERAGE), filters (FILTER, ALL) and logic-based formulas (IF, SWITCH). It is essential for building powerful, dynamic data models.

    3. What types of relationships can you create between tables in Power BI?

    Ans:

    Power BI supports three main types of relationships between tables: one-to-one, one-to-many and many-to-many. In a one-to-one relationship, each row in one table matches exactly one row in another. One row in one database can relate to several rows in another, a phenomenon known as one-to-many relationships. Many-to-many relationships occur when rows in both tables can match multiple entries in the other, often requiring a bridge or intermediary table.

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

    Ans:

    In Import mode data is fully loaded into Power BI’s internal storage, allowing for fast performance and offline access. However the data needs to be refreshed to stay up to date. DirectQuery mode doesn’t store data in Power BI; instead, it queries the source live each time you interact with a report. While this allows for real-time data access, it may impact performance depending on the source system's speed.

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

    Ans:

    Key Performance Indicators (KPIs) in Power BI are visuals used to track the performance of specific business metrics against set goals. A typical KPI displays the actual value (like revenue), the target value (goal) and an indicator showing progress, often using colors like green for above target and red for below. KPIs help businesses quickly assess whether they are meeting their performance objectives.

    6. What kinds of data sources are compatible with Power BI?

    Ans:

    Power BI can connect to a wide variety of data sources. These include traditional databases like SQL Server, Oracle and MySQL; cloud-based services like Azure, Snowflake and Google BigQuery; and file types such as Excel, CSV, JSON and XML. It can also connect to APIs and online platforms like SharePoint and Dynamics 365, making it highly flexible for different data environments.

    7. How does Power BI help track performance with KPIs?

    Ans:

    Power BI helps track key performance indicators by allowing you to compare actual results with target values in a clear and visual way. A KPI visual displays the metric you're tracking, the goal you want to reach and an icon or color showing how you're progressing. This makes it easy to spot trends and understand whether your performance is improving or falling behind.

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

    Ans:

    Power Query Editor is a tool in Power BI used for connecting to, transforming and cleaning data before its used in reports. It allows users to perform tasks like removing duplicate rows, changing data types, splitting or merging columns and filtering records. Once the data is prepared, its loaded into the Power BI data model for visualization. Power Query simplifies data preparation without needing complex coding.

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

    Ans:

    Hierarchies in Power BI are used to structure data into levels so users can drill down into more detailed information. For example, a Date hierarchy may include Year → Quarter → Month → Day, allowing users to explore trends at different time levels. Similarly, a geographic hierarchy might go from Country → State → City. Hierarchies improve report navigation and enhance user interaction.

    10. What are the different data connectivity options available in Power BI?

    Ans:

    Power BI offers three main data connectivity modes: Import, DirectQuery and Live Connection. Import mode brings data into Power BI for fast performance and offline access. DirectQuery connects to the source in real-time but may be slower. Live Connection is similar to DirectQuery but is used specifically for SQL Server Analysis Services (SSAS) models, allowing live analysis without importing data into Power BI.

    1. How is Power BI different from Excel in terms of data analysis?

    Ans:

    While both Power BI and Excel are used for analyzing data, Power BI is more advanced regarding the creation of graphic reports and interactive dashboards. Unlike Excel, which is spreadsheet-based, Power BI is designed for handling larger datasets, connecting to various sources and providing dynamic, visually rich analytics. Power BI also offers better automation, real-time data refresh and sharing features, making it more suitable for modern business intelligence needs.

    2. How does Power BI handle data extraction and transformation through Power Query?

    Ans:

    Power BI uses Power Query as its ETL (Extract, Transform, Load) tool to prepare data before building reports. First it connects to a data source (extract), then allows users to clean, filter, merge, split or reshape data (transform) using a user-friendly interface. Once the data is ready, its loaded into the Power BI data model (load). This process ensures data is clean, structured and optimized for analysis.

    3. What is DAX in Power BI and what are some commonly used functions?

    Ans:

    In Power BI, unique calculations like measures and calculated columns are created using the mathematical language known as DAX (Data Analysis Expressions). It works similarly to Excel formulas but is more powerful for building dynamic data models. Commonly used DAX functions include SUM() for totals, AVERAGE() for mean values, CALCULATE() for advanced filters and IF() for conditional logic. DAX helps bring intelligence and flexibility to reports.

    4. How are relationships between tables set up in Power BI?

    Ans:

    In Power BI, relationships connect different tables so you can build a unified data model. These relationships are defined by linking common fields, like an ID or code shared between tables. Power BI supports one-to-one, one-to-many and many-to-many relationships. Once relationships are created, you can pull data from multiple tables into a single report without manually combining them, ensuring consistency and accuracy in your analysis.

    5. What is the main difference between Import and DirectQuery modes in Power BI?

    Ans:

    Import mode loads the data directly into Power BI, allowing fast performance and offline access, but it needs to be refreshed periodically. DirectQuery, on the other hand, doesn't import the data it connects live to the data source and fetches data in real-time whenever the report is used. Import is faster for most use cases, while DirectQuery is suitable when working with large, constantly updated datasets.

    6. How do you add and use slicers in Power BI reports?

    Ans:

    Slicers in Power BI are interactive filters that let users control which data is displayed in visuals. To add a slicer, you simply drag a field (like "Region" or "Category") into a slicer visual. Once added, users can click on the options to filter the entire report accordingly. Slicers make it easier for viewers to explore the data themselves without changing the actual report layout.

    7. What is row-level security in Power BI and how do you use it?

    Ans:

    Row-level security (RLS) in Power BI is a feature that restricts data access for users based on their role or identity. It ensures that each user only sees the data relevant to them. You implement RLS by creating roles and defining rules (like filtering data by region or department) in Power BI Desktop. After publishing the report, you assign users to those roles in the Power BI Service.

    8. What can you do if your Power BI reports are running slowly?

    Ans:

    If Power BI reports are slow, several steps can improve performance. You can reduce the size of the data model by removing unnecessary columns or tables, simplify DAX calculations and limit visuals on each report page. Enabling query folding in Power Query and using aggregations or summary tables can also help. It's important to monitor performance using the Performance Analyzer tool in Power BI Desktop.

    9. How do you publish and share Power BI reports with others?

    Ans:

    To share a Power BI report, first publish it from Power BI Desktop to the Power BI Service (cloud platform). From there, you can share the report directly with stakeholders by giving them access or adding it to a shared workspace. You can also embed reports in Microsoft Teams, SharePoint, or even set up automatic email subscriptions, allowing easy access for team members and decision-makers.

    10. What does Power BI Service offer and how is it different from Power BI Desktop?

    Ans:

    Power BI Service is a cloud-based platform used for hosting, sharing and collaborating on reports created in Power BI Desktop. While Power BI Desktop is used for building and designing reports locally, the Service is used to publish those reports, set up scheduled data refreshes, manage user access and view dashboards from anywhere. Essentially, Desktop is for development, while the Service is for distribution and collaboration.

    1. What is Power BI and what are the key parts that make it work?

    Ans:

    Microsoft created Power BI, a business intelligence application that enables users to model and transform data, connect to data sources and produce interactive dashboards and reports. Its core components include Power BI Desktop (used for building and designing reports), Power BI Service (a cloud-based platform for publishing, sharing and collaboration) and Power BI Mobile (for viewing reports on smartphones and tablets).

    2. How is Power Query used to clean and transform data in Power BI?

    Ans:

    Power Query is Power BI’s built-in tool for transforming raw data into structured format suitable for analysis. It lets users connect to different sources and apply transformations like filtering rows, removing duplicates, changing data types, splitting columns and merging tables all without writing code.

    3. What is DAX in Power BI and how is SUM different from SUMX?

    Ans:

    DAX (Data Analysis Expressions) is the formula language used in Power BI to perform custom calculations on your data. It is used for creating measures, calculated columns and calculated tables. SUM() is a basic DAX function that adds up all the values in a single column.

    4. What does a data model mean in Power BI and why is it important?

    Ans:

    A data model in Power BI is the structured representation of your data, including tables, relationships, calculations and metadata. It brings together data from different sources and allows you to organize and analyze it in a connected way.

    5. How do you define relationships between tables in Power BI?

    Ans:

    In Power BI, relationships are used to connect different tables based on common fields such as IDs or keys. You can create these relationships manually or let Power BI detect them automatically. Most commonly, relationships are one-to-many, meaning one record in a table (like "Customer") is linked to many records in another (like "Sales").

    6. What are calculated columns in Power BI and how are they not the same as measures?

    Ans:

    New columns are added to a table using DAX expressions and assessed row-by-row are known as calculated columns. They are stored in the data model and can be used in visuals or for building relationships. Measures, however are dynamic calculations that are only evaluated when you use them in a visual and they summarize or aggregate data.

    7. How is Power BI Service different from Power BI Desktop and what is each used for?

    Ans:

    Power BI Desktop is the tool used on your computer to build and design reports by connecting to data, transforming it and creating visuals. Power BI Service is the online platform where you publish those reports to share them with others, set up data refresh schedules, manage acces and collaborate in workspaces.

    8. How can you restrict users from seeing certain data in Power BI?

    Ans:

    To control what users can see, Power BI offers a feature called Row-Level Security (RLS). With RLS, you define roles and apply filters to your data model so that users in certain role only see data relevant to them for example, a regional manager only seeing sales from their region.

    9. What is the difference between DirectQuery and Import mode and when would you use each?

    Ans:

    In Import mode data is brought into Power BI and stored in the report file, which allows for fast performance but requires scheduled refreshes to stay current. DirectQuery leaves the data in the original source and queries it live every time the report is used, which is better for large or frequently updated data but can be slower.

    10. Can you describe a time you built a complex dashboard and solved performance issues?

    Ans:

    In a project where I built a dashboard with multiple data sources and visuals showing sales, inventory and customer metrics, the report began to lag due to the large volume of data and complex DAX calculations. To improve performance, reduced the number of visuals on each page, optimized the data model by removing unused columns, replaced calculated columns with measures where appropriate and used summary tables with pre-aggregated data.

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    Power BI Course FAQs

    1. What do I need to start learning Power BI Training?

    To begin learning Power BI, you only need basic computer skills and logical thinking. Knowledge of Excel or fundamental data concepts can help but isn’t required. Beginners with no prior experience in data or analytics can quickly learn Power BI through structured training.
    Definitely! Power BI is a widely used business intelligence tool across industries like finance, healthcare, marketing, and retail. Its demand continues to grow as organizations rely more on data-driven decision-making, making it an excellent choice for a stable and evolving career path.
    A typical Power BI course starts with data importing and cleaning using Power Query, followed by data modeling concepts. You will learn to create visuals, dashboards and reports. Advanced topics usually include DAX (Data Analysis Expressions) for custom calculations, row-level security, data refresh and optimization techniques. Training also often covers Power BI Service for sharing and collaboration.
    Yes, practical projects are an important part of Power BI training. You will get to work on real datasets, create interactive dashboards and solve business problems through data visualization. You may apply the topics you've studied and develop a portfolio that shows employers your ability with these practical projects.
    Most Power BI training programs offer resume assistance. Learn how to effectively highlight your Power BI skills, projects and any certifications you earn, in order for hiring managers and recruiters to notice your resume.
    Power BI training is open to anyone interested in data analysis or business intelligence, including beginners, students, and working professionals aiming to upskill. The course prepares learners for roles in reporting, analytics, and business intelligence across multiple industries.
    Not necessarily. While having a degree in a related field like computer science or business can be helpful, you can build a successful career in Power BI through practical skills, project experience and certification, even without a formal degree.
    To get started you only need a basic understanding of computers and logical reasoning. Familiarity with Excel or basic databases can give you a slight advantage, but even complete beginners can catch up quickly with the right training.
    Power BI is designed to be beginner-friendly and does not require coding knowledge. Basic understanding of formulas can help, and advanced topics like DAX are taught step-by-step during the course for deeper analytics.

    1. Does the Power BI training provide job placement assistance?

    Yes, most Power BI courses include job placement support such as resume reviews, interview preparation and career guidance. Some institutes also arrange campus drives or connect students directly with hiring companies.

    2. Will I get to work on projects that I can showcase to employers?

    Definitely. Hands-on projects are a key part of Power BI training. You will create dashboards and reports using real or simulated business data, which you can include in your portfolio to impress potential employers.

    3. Can I apply to top companies after completing Power BI training?

    Yes, with solid Power BI knowledge, project experience, and certification, you can confidently pursue opportunities in leading organizations across sectors like finance, retail, healthcare, and IT.

    4. Is support available for freshers or beginners?

    Yes, most courses provide full support for beginners, including skill-building sessions, project guidance, mock interviews, and career advice to help secure your first role in data analytics or business intelligence.
    Yes you will receive Power BI certificate that verifies your Power BI skills and training completion. This certification can strengthen your resume and boost your credibility with employers.
    Absolutely. Power BI is one of the most widely adopted business intelligence tools, enabling professionals to turn raw data into actionable insights. Learning Power BI opens many career opportunities in data analysis, reporting and decision-making roles across industries.
    No prior experience in programming or analytics is required. Basic computer literacy and logical thinking are enough to get started and the training will guide you through every step.
    Power BI training equips you with industry-relevant skills, hands-on project experience and a certification that improves your job prospects in business intelligence, data analysis and related fields.
    You will master data import and transformation with Power Query, data modeling, creating visuals and reports, using DAX for calculations, securing data with row-level security, publishing reports via Power BI Service and optimizing performance.

    1. Will I get placement assistance after completing the course?

    Yes, most training providers offer full placement support, including resume building, mock interviews and job application guidance to help you find the right opportunity.
    Fees depend on factors such as faculty experience, course duration, resources, placement support and facilities offered. Some premium centers might provide additional perks like personalized mentoring or extra projects, which can affect the cost.
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