Professional Program in Data Analytics with GenAI
Build industry-ready data analytics skills with Excel, SQL, Python, Power BI, and integrated Generative AI tools.
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.
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.
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.
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.
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.
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.
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.
Perform statistical analysis and regression on business datasets.
Tools & Technologies
Explore industry-relevant tools through hands-on learning to master practical, in-demand skills.
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.
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.
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.
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.
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.
Select Designation
Salary Growth
Annual PackagesCurrently Hiring Companies for this role
400+ Companies







Industry-Recognized Certification
Certificate of Completion
This is to certify that
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.
Placement Assistance Policy
Dedicated placement assistance with leading industry hiring partners. Refer to the FAQ and T&C sections for placement eligibility details.
Our Hiring Network
800+ Top Recruiting Companies



















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.
Success Stories
Hear from our graduates about their transformative journey with NIIT.
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.
Tell us your preferred slot
Custom Schedule Assistance
Investment Plan
Secure your future today
Exclusive of 18% GST
Secure your seat with a token booking fee of ₹1,500 today.
Exclusive of 18% GST

