UG Certification in Microsoft Power BI Data Analyst
This programme is offered by TheSSML in collaboration with the Continuing Technology and Interprofessional Education (CTIPE).
About the Programme
The UG Certification in Microsoft Power BI Data Analyst is a comprehensive one-year program designed for undergraduate students who aim to develop expertise in data analysis using Microsoft Power BI. This program covers the fundamental concepts of data analysis, including data cleaning, modeling, visualization, and reporting, all through the Power BI platform. Students will gain proficiency in transforming raw data into meaningful insights by creating interactive dashboards, applying DAX functions, and utilizing Power Query for data transformation.
The curriculum is designed to provide hands-on experience with real-world datasets, ensuring that learners can immediately apply their skills in professional settings. Additionally, the program offers personalized mentorship and practical assignments to help students build a strong portfolio. Upon successful completion, students will be equipped to work as data analysts, leveraging Power BI to drive business intelligence and data-driven decision-making. With dedicated placement support and a limited batch size, the program ensures a focused and high-quality learning experience.
Key Skills Developed
Who is the programme for?
The UG Certification in Microsoft Power BI Data Analyst is designed for undergraduate students, recent graduates, and aspiring professionals who wish to pursue a career in data analysis and business intelligence. This program is ideal for individuals interested in mastering Power BI to analyze and visualize data, create insightful reports, and support data-driven decision-making. It is particularly beneficial for those with a background in fields like business, economics, computer science, or engineering, as well as anyone looking to transition into the data analytics field. No prior experience in data analysis is required, making it accessible to both beginners and those looking to expand their skills in the growing field of data analytics.
4o mini
How will you study?
The UG Certification in Microsoft Power BI Data Analyst program follows a blended learning approach, combining theoretical concepts with practical, hands-on training. The study structure is designed to help you build real-world skills step by step through:
- Live instructor-led sessions for in-depth understanding and real-time doubt solving
- Pre-recorded video lectures for flexible, self-paced learning
- Hands-on labs and assignments using real datasets to build your Power BI skills
- Project-based learning, including a capstone project to demonstrate your expertise
- Peer collaboration and discussion forums to enhance teamwork and problem-solving
- 1:1 mentorship and expert guidance for personalized feedback and career advice
- Internship opportunities for practical industry exposure
- Placement support with resume reviews, mock interviews, and job referrals
This structured yet flexible learning model ensures that you gain both the technical skills and professional readiness to succeed as a data analyst.
Accreditation and Collaboration at TheSSML
The Standard School of Machine Learning is proud to announce its accreditation and strategic collaborations with prestigious institutions and organizations, including the Ambaincip School of Business, Narsamma School of Finance and Blockchain, Monappa School of Quantum Computing, Kamber School of Researchers, and BlackwellAi - LaB Innovation.
This partnership network signifies a unified effort to advance the frontiers of knowledge in machine learning, artificial general intelligence (AGI), and multidisciplinary research. By leveraging expertise across finance, blockchain, quantum computing, and AI-driven innovation, the collaboration aims to foster cutting-edge developments and impactful applications. Additionally, the program aligns with global standards such as AGI and MACUL, ensuring academic excellence and real-world relevance.
Location
Hybrid Mode
Duration
1 Year
Intakes
25 (Jan, May, Nov)
Tuition Fees
Rs 45,000/ -
The UG Certification in Microsoft Power BI Data Analyst is a one-year, industry-focused program designed to equip students with the essential skills required to become proficient data analysts. Centered around Microsoft Power BI, one of the most widely used business intelligence tools, the program covers the full data analysis lifecycle—from data preparation and transformation to visualization and reporting.
Students will learn how to connect and clean data from various sources, build data models, apply DAX formulas, and create interactive dashboards that provide actionable insights. The curriculum is structured to balance theory and practice, with real-world projects, hands-on exercises, and a final capstone project to showcase learned skills.
Delivered through a mix of live sessions, self-paced content, and practical assignments, the program also includes internship opportunities and dedicated placement support. With a limited batch size for focused mentorship, this program prepares students for entry-level roles in data analysis, business intelligence, and data-driven decision-making across industries.
Programme Structure and Electives
The UG Certification in Microsoft Power BI Data Analyst is a carefully designed, career-focused program tailored for undergraduate students aiming to build strong foundational and practical skills in data analysis using Microsoft Power BI. Spanning 12 months, the program blends comprehensive instruction with hands-on experience to ensure students are well-prepared for real-world analytics roles. During the first six months, students receive structured training in key areas including data modeling, data visualization, DAX (Data Analysis Expressions), Power Query, and the development of interactive dashboards. Through industry-based case studies and guided projects, learners develop critical thinking and analytical skills essential for modern data roles. The program also emphasizes data storytelling and effective communication of insights, enabling students to support data-driven decision-making in any business environment.
Core Periods Modules
The UG Certification in Microsoft Power BI Data Analyst is a carefully designed, career-focused program tailored for undergraduate students aiming to build strong foundational and practical skills in data analysis using Microsoft Power BI. Spanning 12 months, the program blends comprehensive instruction with hands-on experience to ensure students are well-prepared for real-world analytics roles. During the first six months, students receive structured training in key areas including data modeling, data visualization, DAX (Data Analysis Expressions), Power Query, and the development of interactive dashboards. Through industry-based case studies and guided projects, learners develop critical thinking and analytical skills essential for modern data roles. The program also emphasizes data storytelling and effective communication of insights, enabling students to support data-driven decision-making in any business environment.
- Period 0
Preparing Data for Analysis with Microsoft Excel
During this period, you will learn how to effectively prepare data for analysis using Microsoft Excel, one of the most widely used tools for data management and analysis. The focus will be on mastering essential techniques such as data cleaning, organizing, and formatting to ensure data is structured and ready for meaningful analysis
- Period 1
Harnessing the Power of Data with Power BI
During this phase, you will learn how to harness the power of data using Power BI, a leading business intelligence tool. You will explore its capabilities in data visualization, modeling, and creating interactive reports and dashboards. The focus will be on transforming raw data into actionable insights, leveraging Power BI’s advanced features such as Power Query and DAX.
- Period 2
Extract, Transform and Load Data in Power BI
In this phase, you will learn how to extract, transform, and load (ETL) data in Power BI. You will explore Power BI’s Power Query tool to connect to various data sources, clean and transform the data, and load it into the model for analysis.
- Period 3
Data Modeling in Power BI
In this phase, you will learn the fundamentals of data modeling in Power BI. You will explore how to design and structure data models to create meaningful relationships between tables, ensuring data integrity and accuracy. The focus will be on using key modeling concepts like star schema, normalization, and building calculated columns and measures using DAX.
- Period 4
Data Analysis and Visualization with Power BI
In this phase, you will focus on data analysis and visualization using Power BI. You will learn how to create interactive and insightful dashboards, using various visualization techniques such as charts, tables, and maps. The emphasis will be on analyzing complex datasets, identifying trends, and presenting data in a clear and actionable format.
- Period 5
Industry Work Experience (6 Months), 2 Electives
The continuation of the work experience allows participants to deepen their expertise and apply their learning in more complex business scenarios. With additional electives, participants refine their understanding.
Electives
To further tailor your learning, TheSSML offers the following electives as part of the Executive Strategic AI for Business Leaders Programme. These electives will help you specialize in areas that align with your professional interests and career aspirations.
- Profile Building++
- Decision Sciences
- Entrepreneurship & Family Enterprise
- Responsible AI and Ethical Considerations
- AI-Driven Customer Experience
- Emerging AI Technologies and Trends
- AI in Product Development
- Building AI Products
Your Future Career at TheSSML
Professionals will be equipped with the strategic and technical expertise required to lead AI initiatives across industries. As AI continues to play an increasingly pivotal role in business transformation, participants will be well-positioned for career opportunities in top technology companies, consulting firms, and multinational corporations that are integrating AI into their core operations.
Furthermore, TheSSML provides comprehensive career support, including personalized coaching, exclusive networking opportunities, and access to premium job openings within its global network. Professionals will also be eligible for opportunities with the Ambaincip School of Business, where they can apply their AI expertise to lead and innovate in high-growth, business-driven environments.
Secure Your Job at Ambaincip School of Business After Completing UG Certification in Microsoft Power BI Data Analyst at TheSSML
Upon successful completion of the Professional Programme at TheSSML, you will gain exclusive access to rewarding career opportunities at Ambaincip School of Business. This collaboration provides professionals with a unique opportunity to apply AI-driven business strategies and leadership skills within a fast-paced, growth-oriented business environment.
Ambaincip School of Business is dedicated to empowering graduates by placing them in influential leadership roles where they can lead AI-driven transformations, shape business strategies, and drive innovation within organizations. With the advanced expertise gained through the program, you will be well-prepared to assume senior roles, manage AI-driven projects, and contribute significantly to the success and growth of leading businesses.
Secure Your Job at Ambaincip School of Business
TheSSML: Your Gateway to Innovation
At TheSSML, we cultivate a culture of curiosity, creativity, and collaboration, empowering individuals to solve complex real-world problems and contribute meaningfully to the advancement of technology. Whether you are a student, professional, or researcher, TheSSML is your gateway to mastering the skills and insights needed to lead in the rapidly evolving world of artificial intelligence and machine learning.
Fees & Admissions
Entry Requirements
Entry Requirements
Company Experience
- A minimum of 1 years of experience at a company is required, particularly in roles where you have gained exposure to AI or technology-driven projects.
- Experience in driving strategic business initiatives, AI implementations, or related fields is highly valuable.
Academic Qualifications
- A strong honours degree or its equivalent from a recognised institution.
- A compelling personal statement that showcases
- A pronounced interest in business.
- Theambition to explore beyond the confines of their initial degree discipline.
- Anaptitude for working within a multidisciplinary environment
Tuition Fees
National Applicants: Rs 45,000/ -
International Applicants: 525.10/ - USD
We offer a range of savings and funding options. For a full breakdown of all our fees, visit our fees and funding page below.
Our Application Process at TheSSML
At TheSSML, we have simplified the application process to ensure a smooth and efficient entry into our academic community. Our clear, step-by-step application process is designed to help you prepare and submit your application with ease.
For those who might not meet the aforementioned academic criteria for the Executive Programme, consideration will be based on individual merit. Additionally, candidates who do not meet the set academic or language standards may still be eligible for entry upon successful completion of TheSSML Executive Premasters Award.
How to ApplyTop-Tier Education at TheSSML
Double Your Reach
Gain exclusive access to TheSSML's extensive alumni network, alongside global connections, enhancing your professional prospects and career opportunities.
Accredited and Recognized
TheSSML is dedicated to providing high-quality education with internationally recognized certifications, ensuring that you gain a competitive edge in the global job market.
Post-Study Career Opportunities
International students at TheSSML may benefit from career development programs and assistance in securing job placements or internships, offering valuable industry experience after graduation.
Global Partnerships
TheSSML collaborates with leading industry players, including tech giants and global corporations, to provide students with access to cutting-edge technologies, real-world learning experiences, and exciting career prospects.
Learn From the Very Best at TheSSML
At TheSSML, you will be taught by distinguished faculty members who are leaders in their fields. Our professors bring a wealth of experience from renowned global institutions and top-tier companies such as Amazon, the United Nations, IBM, Deloitte, Accenture, and Microsoft. Their extensive industry knowledge and academic expertise will provide you with the insights and practical skills needed to thrive in the dynamic world of machine learning and AI.
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TheSSML Partners with AICTSD And MACUL
At The Standard School of Machine Learning (TheSSML), our programmes are enhanced through prestigious accreditations and partnerships with leading organizations such as MACUL (Michigan Association for Computer Users in Learning) and AICTSD (All India Council for Technical Skill Development). These collaborations ensure our courses meet global industry standards and incorporate cutting-edge advancements in artificial intelligence and machine learning. The partnership with MACUL brings a rigorous framework for curriculum quality and academic excellence, while AICTSD fosters skill development and practical exposure through workshops, certifications, and real-world projects. By aligning with these esteemed bodies, TheSSML guarantees that students receive industry-recognized training, preparing them for leadership roles in a rapidly evolving AI landscape.
TheSSML Alumni Survey
At TheSSML, we are dedicated to equipping our students with the knowledge and skills needed to launch successful careers in the AI and machine learning industries. Our alumni are well-prepared to make a meaningful impact in the professional world, with many securing positions at leading global companies.
Alumni Survey (2022)
91%
of ourgraduates secured employment within six months of graduation
84%
of students received job offers before completing their programme
72%
of our alumni hold managerial or senior positions in prominent organisations
79%
of our graduates earn a competitive salary ranging from ₹8 lakhs to ₹12 lakhs per annum