Placement AssistanceNCVET AccreditedIndustry Certification by CIITrending

Professional Program in Data Analytics with GenAI

Build industry-ready data analytics skills with Excel, SQL, Python, Power BI, and integrated Generative AI tools.

Rating
4.5/5
Duration
24 Weeks
Mode
Online
Mentor-Led
40 Mn+ Alumni Network
97% of Eligible Learners Placed
Avg. Salary ₹4- ₹9.2 LPA

Program Overview

Program Overview

The Professional Program in Data Analytics with GenAI by NIIT is a future-ready program with placement assistance that equips learners with hands-on skills in data analytics, and AI-driven insights. Master GenAI tools, make data-driven decisions, and advance your career in Data Analytics. This program is accredited by the National Council for Vocational Education and Training (NCVET), with industry certification awarded by the Confederation of Indian Industry (CII). Students can earn Academic Bank of Credits (ABC), gaining nationally recognized credentials that provide flexibility, and open pathways for seamless career progression across institutions and programs.

6+
Projects
380+
LEARNING HOURS
800+
HIRING PARTNERS

Curriculum

Comprehensive curriculum to build in-demand tech skills and real-world expertise.

Excel Fundamentals & Data Analysis

Learn Excel fundamentals, including data cleaning, visualization, PivotTables, and basic statistical analysis.

Data Storytelling & Insights Communication

Apply data storytelling techniques to present insights through clear and engaging narratives.

Module Project

Build interactive Excel dashboards with business-focused storytelling insights.

Database Design & Normalization

Learn to design databases using ER diagrams and apply normalization techniques.

Data Creation & Management in MySQL

Create, update, and retrieve data stored in MySQL (RDBMS) databases.

SQL for Database Operations

Use Structured Query Language (SQL) to perform various operations on the database.

Advanced Database Programming & Transactions

Create triggers and stored procedures while ensuring data consistency through transactional management.

Module Project

Design and query a business database for analytical reporting.

Python Programming & Problem Solving

Learn essential coding skills for problem-solving, automation, and data analysis.

Core Concepts & Data Handling

Cover Python basics, OOP, and data handling, along with libraries like NumPy and Pandas and API usage for GenAI integration.

Applied Python for Data Science & AI

Apply Python in real-world scenarios across data science, automation, and AI use cases.

Module Project

Automate data processing and analysis using Python scripts.

Data Analysis with NumPy & Pandas

Use NumPy and Pandas libraries in Python to perform efficient data analysis.

Database Integration with Python

Connect Python programs to databases to retrieve and manipulate data.

Exploratory Data Analysis & Visualization

Apply best practices of EDA (univariate, bivariate, and multivariate analysis) using statistical concepts and present insights visually.

GenAI-Driven Data Exploration

Use GenAI tools to enhance data exploration and visualization.

Module Project

Conduct comprehensive EDA on real-world datasets using Python.

Data Extraction, Cleaning & Transformation

Extract, clean, and transform data using Power Query and ETL techniques.

Data Modeling & DAX for Insights

Build optimized data models and apply DAX to generate deep business insights.

Interactive Dashboards & Secure Reporting

Create interactive dashboards and secure reports to enable data-driven decision-making.

Module Project

Develop an executive-level interactive Power BI dashboard.

Inferential Statistics with Python

Learn inferential statistics using Python to analyze data confidently and draw meaningful conclusions with real-world applications.

Regression Analysis for Decision-Making

Learn regression techniques to analyze relationships within data and enable informed decision-making.

Module Project

Perform statistical analysis and regression on business datasets.

Tools & Technologies

Explore industry-relevant tools through hands-on learning to master practical, in-demand skills.

Excel
Python
Python
NumPy
NumPy
Pandas
Pandas
Power BI
OpenAI
OpenAI
Gemini
MySQL
MySQL

Projects You'll Build

Build production-ready projects to showcase real-world skills and strengthen your portfolio.

Analyze E-Commerce Sales to Improve Customer Conversion & Retention (RetailTech)

This project analyzes e-commerce transactions and customer data to uncover patterns that influence sales and loyalty. The insights help businesses design better marketing campaigns, optimize pricing strategies, and improve inventory planning for higher profitability.

Microsoft ExcelMySQL (RDBMS)SQLPythonNumPyPandasPower BIDAXGenAI

Assess Fitness App Usage & Calorie Burn Patterns to Drive Personalised Engagement (HealthTech)

The project explores user activity and usage data to identify trends that impact engagement. Findings will help app developers and fitness platforms create personalized features and programs that encourage consistent participation and retention.

Microsoft ExcelMySQL (RDBMS)SQLPythonNumPyPandasPower BIDAXGenAI

Analyze Social Media Engagement to Uncover Brand Performance Insights (SocialTech)

This project analyzes engagement metrics such as likes, shares, comments, and posting frequency to determine what drives audience interaction. The insights help marketing teams refine content strategy, timing, and communication tone to strengthen brand performance online.

Microsoft ExcelMySQL (RDBMS)SQLPythonNumPyPandasPower BIDAXGenAI

Explore Gamer Behaviour & Monetisation Patterns to Optimize In-Game Engagement (GameTech)

This project analyzes playtime duration, in-game purchases, and session data to reveal behavioral trends. The outcomes guide design improvements, in-game offers, and user retention strategies to maximize engagement and monetisation.

Microsoft ExcelMySQL (RDBMS)SQLPythonNumPyPandasPower BIDAXGenAI

Boost Your Career Visibility

Showcasing a professional Capstone Project on your LinkedIn increases recruiter interest significantly. Build production-ready work that speaks for itself.

Learning Outcomes

Develop industry-relevant skills to create real-world solutions and advance your career.

Analyze and visualize data using Excel.

Use SQL to perform data analysis on a database.

Program using Python for automation and analysis.

Perform EDA systematically by applying descriptive statistical techniques and using Python libraries like Pandas and NumPy.

Create interactive dashboards using Power BI, effectively storytelling using data.

Apply statistics for inferential analysis.

Utilize Generative AI tools to improve productivity.

Complete a capstone project demonstrating analytical skills.

Industry Salary Growth

Accelerate your career with strong salary growth across India.

Download Career Report

Select Designation

Salary Growth

Annual Packages
₹4 LPAMin
₹7 LPAAvg
₹10 LPAMax

Currently Hiring Companies for this role

400+ Companies

Industry-Recognized Certification

Certificate of Completion

This is to certify that

Student Name

Has successfully completed the Professional Program in Data Analytics with GenAI

Signature

Date

Earn a trusted NIIT professional certificate.

Industry Certification by CII

Industry-recognized skills validated by Confederation of Indian Industry.

The Academic Bank of Credits (ABC)

Earn transferable academic credits for recognition, flexibility, and career growth.

Career Value with NCVET Accredited Program

Nationally recognized credentials enhancing employability and career growth.

Placement Assistance

Dedicated placement support with industry connections and recruiter interactions.

Up to 3 placement opportunities within 120 days of joining the Placement Bank
Career guidance with personalized counseling and mock interview preparation
Resume building & LinkedIn profile optimization
Client briefings with Git profile development and industry connect sessions
Alumni connect sessions for networking

Placement Assistance Policy

Dedicated placement assistance with leading industry hiring partners. Refer to the FAQ and T&C sections for placement eligibility details.

97%
Placement Rate
800+
Hiring Partners

Our Hiring Network

800+ Top Recruiting Companies
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Data-Driven Learning, Delivered with Quality

Experience a data-driven learning ecosystem with measurable progress.

Structured Learning Roadmap

Clear learning pathways delivered through our LMS with defined milestones and module progression.

Learner Connect Sessions

Regular live mentor interactions to resolve doubts, reinforce concepts, and maintain engagement.

AI Assisted Faculty Quality Monitoring

AI-assisted faculty performance analysis ensures consistent teaching quality and delivery excellence.

Program Performance Report

Track attendance, assignments, assessments, quizzes, and overall performance with structured progress tracking.

Meet Your Mentors

Learn from Industry Experts and Experienced Professionals.

Rohit Kumar

Rohit Kumar

Senior Mentor

NIIT Limited

Rohit Kumar is a Senior Mentor at NIIT with over 13 years of experience in Data Science, Machine Learning, Python, and Full Stack Development. He is known for making complex topics easy to understand and apply in real-world scenarios. His expertise spans across Full Stack Development, Data Analytics, Machine Learning, Big Data, Cloud Computing, Blockchain, and AI-driven applications and he holds multiple globally recognized certifications. He is also an Enterprise Design Thinking Practitioner and a published researcher in image encryption and security algorithms, reflecting his strong analytical and problem-solving skills. Through hands-on projects, real-world datasets, and continuous guidance, he helps learners build confidence and become job-ready technology professionals.

4.8(Excellent reviews)
Komilla Bhatia

Komilla Bhatia

Senior Mentor

NIIT Limited

Komilla Bhatia is a Senior Data Science mentor at NIIT with nearly 20 years of experience in transforming learners into confident, industry-ready professionals. Renowned for her deep expertise in Data Analytics, Machine Learning, Deep Learning, NLP, Large Language Models, and Generative AI, she has delivered over 40,000 hours of impactful learning to thousands of learners across India. Known for her ability to simplify complex concepts, Komilla blends strong technical mastery with a highly engaging teaching approach, empowering learners not just to be skilled, but to pursue their careers with purpose, confidence, and long-term impact

4.8(Excellent reviews)

Success Stories

Hear from our graduates about their transformative journey with NIIT.

Bijayashanti Shukla

Bijayashanti Shukla

4.86
"

"This course is designed in such a way that there is daily practice, hackathons and several projects which was very helpful during my interview. The mentors are very supportive, patient and cooperative with us and helped us a lot to over come all the challenges. Initially I had my doubts regarding this course, but now I can say that I made the right decision. Also the placement team service was very good. There are several grooming sessions, aptitude sessions, mock interviews for us to prepare ourselves for interviews. They provided enough motivation and helped me to be placed in good organization."

Professional Program in Data Analytics with GenAI
Reddipalli Yaswanth Sai​

Reddipalli Yaswanth Sai​

4.85
"

"The course was conducted online by fabulous tutors, and the program structure was excellent. It was designed with the right balance of challenges, and the mentors were always there to guide us through them. Shraddha Ma’am was a constant source of inspiration and support, helping me secure a great placement package."

Professional Program in Data Analytics with GenAI
Veera Venkata Ramakrishna​

Veera Venkata Ramakrishna​

4.7
"

“I would like to thank NIIT for providing me with a platform to upskill myself. My six months of learning at NIIT were truly memorable — full of learning, personal growth, and self-development. The experience gave me the opportunity to meet diverse people and learn from them. I’m deeply grateful to all my mentors and the placement team for helping me enhance my skills and secure a position in a reputed company.”

Professional Program in Data Analytics with GenAI
Baathuku Rishika

Baathuku Rishika

4.94
"

“The course material and mentoring approach were excellent. Collaborating with peers online was a great experience, and the mentors did an outstanding job of communicating and creating a supportive learning environment. It’s a very solid course, and I learned a lot throughout the journey.  Special thanks to all the mentors — Komilla, Lopa, Vinod Raju, Sriraman, and Kshijit — and to the placement team for helping me secure a position. A heartfelt thanks to Shraddha Ma’am for her constant support during the placement process.”

Professional Program in Data Analytics with GenAI
Sri Ranjith Kumar Padrajulu

Sri Ranjith Kumar Padrajulu

Data Engineer @ Hexalytics Business Solutions Pvt. Ltd.

4.8
"

"NIIT has been instrumental in shaping my professional journey. The well-organized curriculum, hands-on learning methodology, and consistent guidance from the faculty enabled me to develop a solid grounding in data analytics. I dedicated myself fully to the course, maintaining discipline and commitment throughout. With focus and patience, I waited for the right career opportunity to come my way. The placement preparation sessions proved invaluable in equipping me for real-world interviews. I'm proud to share that I’ve successfully secured a job, and I owe this achievement to NIIT."

Professional Program in Data Analytics with GenAI
Kalaimani Muthu

Kalaimani Muthu

Data Visualization Trainee @ Hexalytics Business Solutions Pvt. Ltd.

4.9
"

"NIIT is a wonderful platform to build and sharpen your technical skills. The faculty and support system are excellent, and they keep you motivated throughout the learning journey. I would especially like to thank my placement incharge Muralikrishnan Perumal for his continuous support, timely guidance, and excellent communication during the placement process. The placement sessions at NIIT helped me gain confidence and prepare effectively for interviews. With consistent effort, patience, and the support of NIIT, I successfully landed my dream job at Hexalytics."

Professional Program in Data Analytics with GenAI
Himanshu

Himanshu

Business Analyst @ Uneecops Business Solutions

4.7
"

"My journey with NIIT Digital has been extremely rewarding. Throughout the Data Science and ML with Gen AI course, I gained a strong foundation in Python, SQL, EDA, Tableau, and machine learning techniques. The practical projects and guidance from mentors helped me build both technical and problem-solving skills. The placement process was smooth and well-structured. With NIIT's support, I was able to crack interviews and secure a role as a Business Analyst at Uneecops Business Solutions. I am excited to begin this new chapter of my career and grateful to NIIT for their constant support and mentorship."

Professional Program in Data Analytics with GenAI
Sakshi Singaraddi

Sakshi Singaraddi

Trainee software engineer @ Techneplus

4.8
"

"NIIT provided an excellent platform to develop new technical skills. The mentors were friendlyand supportive, helping me overcome - I faced no difficulties completing the course. The NIIT placement team guided me extensively, provided crucial support to clear the interview process, and offered grooming sessions that built my confidence. I'm deeply grateful to my mentor and the entire placement team. Thank you NIIT!!"

Professional Program in Data Analytics with GenAI
Shreya Gangal

Shreya Gangal

Trainee software engineer @ Techneplus

4.7
"

"I completed my Data Science course at NIIT, where I gained a strong foundation in data analysis, Python, SQL, statistics, and visualization tools through both theoretical learning and practical projects. The structured curriculum, hands-on assignments, and guidance from trainers helped me understand real-world problem solving and industry expectations. NIIT also provided good placement support through interview preparation sessions, mock interviews, and resume guidance. With their support, I got placed at Techneplus, which reflects the quality of training and placement assistance provided by NIIT and helped me take my first step into the data science field. Thank you NIIT!!"

Professional Program in Data Analytics with GenAI
Mohan M

Mohan M

Data Annotation Analyst @ Mea Platform

4.8
"

"I want to express my gratitude to NIIT for their excellent training platform. I completed a six-month Data Science and Machine Learning program with them. When I started, I had no coding experience, limited communication skills, and struggled with English. However, through NIIT’s structured learning and support, I was able to develop these skills. A special thanks to Komila Ma’am for her continuous guidance and support throughout the program. Today, I am proud to share that I have been placed at MEA Platform as a Data Annotation Analyst. I highly recommend NIIT to anyone looking to build strong coding and communication skills. It’s a great platform for learning and career growth. Thank you, NIIT!"

Professional Program in Data Analytics with GenAI
Jayesh Sharma

Jayesh Sharma

Data Analyst @ PragMath

4.9
"

"I am truly grateful to NIIT and StackRoute for the opportunity to be part of the Data Science and ML with GenAI – Advanced Program. The curriculum was well-structured, combining strong theoretical foundations with hands-on learning in data science, machine learning, and generative AI. The guidance from experienced mentors played a key role in building my technical and problem-solving skills. I’m happy to share that, thanks to this training, I have secured a position as a Data Analyst at PragMath. A heartfelt thank you to the entire NIIT team for their constant support and for being an essential part of my journey."

Professional Program in Data Analytics with GenAI
Pravin Patil

Pravin Patil

Analyst @ Morning star, Navi Mumbai

5
"

"NllT is a great platform to learn and polish new skills. It has excellent faculty who guide you throughout your journey and keep you motivated. You must work hard, learn continuously, and complete every task on time. Along with your course, you go through NllT's placement sessions, where you learn how to crack interviews. It's important to stay patient while applying to different companies. In the end, I got my dream job with the help of NllT."

Professional Program in Data Analytics with GenAI
Subhadeep Banerjee

Subhadeep Banerjee

AI-Automation Engineer @ Ecowoodies

48
"

"I had a great learning journey with NIIT’s Data Science with ML & GenAI program. The training was practical and industry-focused, which helped me build strong technical and problem-solving skills. The mentors were very supportive and guided me throughout. Thanks to NIIT, I got placed as an AI-Automation Engineer at Ecowoodies, which gave me a perfect start to my career."

Professional Program in Data Analytics with GenAI
Harika

Harika

4.81
"

"This course taught us all the technologies from the basic to advance. The classroom is virtual, but during the training I didn't face any problem while learning. They provided hands-on experience which makes us different and more confident on the technology. By the end of the program, I am able to fully develop the product. Thanks to all the mentors and placement team for helping me to enhance my skills and get placed in a good, reputed company."

Professional Program in Data Analytics with GenAI

Frequently Asked Questions

Find answers to your queries about the program, curriculum, and admissions.

Candidates with a minimum of 50% in Class X, XII, and graduation are eligible to apply. Undergraduates must maintain at least 50% marks through their final year and secure a minimum 50% aggregate upon graduation. The program is open to graduates from BE/B.Tech, BCA, B.Sc, BBA, B.Com, B.A, M.Tech, MCA, M.Sc, MBA, M.A, and MS. Students without a mathematics background are required to take an aptitude and English test during orientation.

Admission to the program is direct. Eligible learners can apply by filling out the online application form, submitting the self-declaration and accepting the terms and conditions, and paying the program fee. Admission is confirmed once the payment is successfully completed. Students without a mathematics background are required to take an aptitude and English test during orientation.

The program follows NIIT’s Mastery Learning methodology, focusing on building one skill at a time through structured, hands-on sprints. Each sprint includes concept introduction through live mentor sessions, individual practice and assignments, mentor review and feedback, and refinement with re-submission of work. Learners typically spend around 4 hours per sprint, with most of the time dedicated to hands-on application and reflection

Graduates of the Professional Program in Data Analytics with GenAI will be prepared for entry-level analytics roles with practical skills in Excel, SQL, Python, Power BI, statistical analysis, and Generative AI-assisted analytics. They will be able to clean and analyze data, perform exploratory data analysis, build dashboards, and communicate insights to support business decision-making. Typical entry roles include Data Analyst, Business Analyst, Business Intelligence Analyst, and Marketing Analyst.

Taking a loan is entirely optional. Loans are facilitated by third-party lenders, and NIIT has no role in the process. Applicants must review the loan terms carefully, including EMIs, interest rates, processing fees, and repayment schedules. All EMI payments and related queries must be handled directly with the lender.

Documents may include PAN Card and Aadhaar Card, last 6 months’ bank statements, 3 months’ salary slips (for employed learners) or ITR proof (for self-employed), and co-applicant details if the learner is under 21 years of age. Incomplete documentation may result in loan rejection.

Learners need a laptop or desktop with Intel i3 or AMD Ryzen 3 (or higher), at least 8 GB RAM, and 50 GB free disk space, along with a functional webcam and microphone. The system should run Windows 10 or macOS (or higher) with the latest Chrome or Edge browser, MS Office or equivalent tools, and a PDF reader installed. A stable Wi-Fi or broadband connection with a minimum speed of 5 Mbps is required, and a backup internet connection is recommended.

Yes, Learners receive a digital certificate after successfully completing the program and meeting all the required conditions (Overall Performance Score, Attendance, Payment Clearence etc).

Placement support is offered based on the learner’s profile and eligibility. Learners eligible for Placement Assistance may receive up to a defined number of selection opportunities within 120 days of joining the Placement Bank, subject to criteria such as minimum 70% overall score, graduation, age below 28 years, and stream eligibility as per the Program Eligibility table. Final year undergraduate learners will become eligible only after completing graduation, where applicable. Support also includes three personalized coaching connects, end-to-end assistance during placement drives, and 7 Placement Preparation Module sessions covering interview preparation, aptitude, digital profile building, corporate etiquette, personality development, industry talks, and alumni talks. Learners aged 28 years or above will be eligible for Career Support, which includes access to relevant lateral opportunities through the Alumni forum for up to 120 days, based on hiring demand and role fit. Final selection depends on the learner’s preparation, participation, and performance in the hiring process.

Hassle-Free Refund Policy

Your satisfaction is our priority. We offer transparent refund terms for your peace of mind.

100% Money-Back Guarantee

Full refund (excluding the booking fee) if you cancel before the batch starts

Quick Refund Review

Eligible refund requests are carefully reviewed within Seven working days

Transparent Refund Timeline

Approved refunds are completed within 45 days for timely settlement

Important: Enjoy a transparent refund policy. Cancel 48 hours before the class start date to be eligible for a refund if you haven’t attended any class.

Duration24 Weeks
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