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Course PreviewLearning Format
Online Bootcamp
Live Classes
11 Months
Certification by
iHub IIT Roorkee
Campus Immersion at
iHUB, IIT Roorkee
Hiring Partners
3100+
EMI Starts
at ₹5500/month*
3109
1493
24542
This program, offered by iHUB DivyaSampark at IIT Roorkee, builds job-ready skills across business analytics, cloud data, predictive modeling, Generative AI, and Agentic AI.
About iHub Divya Sampark
iHUB DivyaSampark at IIT Roorkee, established under the National Mission on Interdisciplinary Cyber-Physical Systems (NM-ICPS) by the Department of Science and Technology (DST), focuses on fostering innovation in advanced technologies such as AI, ML, and more. The hub plays a pivotal role in technology development, incubation, and startups, particularly in areas like Healthcare,Read More..
Upon the completion of this program, you will:
Program in Collaboration with Microsoft
Benefits for students from Microsoft:
Data Engineer | Morgan Stanley
By mastering in-demand data skills through Intellipaat, Raj advanced from Data Analyst to Data Engineer, transforming his career and achieving a remarkable 150% increase in salary.
Data Analyst
Data Engineer
55% Average Salary Hike
$127,000 Highest Salary
45 LPA Highest Salary
800+ Career Transitions
3100+ Hiring Partners
Career Transition Handbook
*Past record is no guarantee of future job prospects
Clean, analyze, and visualize data using Excel, SQL, Python, and Power BI to support business decisions.
Translate stakeholder requirements into analytical questions, KPIs, reports, and actionable recommendations.
Build governed semantic models, DAX measures, executive dashboards, and self-service reporting solutions.
Analyze funnels, campaigns, customer behavior, activation, retention, and conversion to improve growth.
Prepare reliable, AI-ready datasets across databases, cloud warehouses, Python workflows, and BI platforms.
Build practical models for propensity, churn, risk, segmentation, and demand forecasting, and explain their limitations.
Skills to Master
Advanced Excel
SQL
Data Wrangling
Power BI
DAX
Predictive Analytics
Forecasting
Agentic AI
Workflow Automation
Power Query
Python Data Analysis
Statistics
A/B Testing
Business Analytics
Product Analytics
Generative AI
RAG
Cloud Data Warehousing
Tools to Master
Dr. Sudeb Dasgupta is currently working as a Professor at IIT Roorkee. He has completed his Ph.D. from Banaras Hindu University in Electronics Engineering and has more than 20 years of teaching experience.
Dr. Balasubramanian is a Professor & HOD of the Computer Science Department at IIT Roorkee. He completed his Ph.D. from IIT Madras in Mathematics and Computer Science and brings over 20 years of experience to his field.
Prof. Sushanta Karmakar, Associate Professor at IIT Guwahati, holds a Ph.D. in Computer Science from IIT Kharagpur. With 15+ years of experience, his research focuses on distributed systems, cybersecurity, and wireless sensor networks.
Madhu Babu is an AI and Deep Learning expert with 20 years of experience. As lead AI scientist at Intel, he builds scalable ML solutions and will guide learners through real-world AI applications using TensorFlow in this course.
Anurag Singh works at Schneider Electric Hub as a principal AI architect. He started as a software engineer in 2007 and has been working as a data scientist since 2018. He specializes in big data, data science, machine learning, and AI system architecture.
Phaneendra Akula is currently working at Sunrise Biztech Systems Private Limited. He has more than nine years of experience in data science and has worked in prestigious companies like Genpact, TCS, and Tesco.
Nishkam Shivam is a senior data scientist in analytics and AI at Bristlecone. He has more than nine years of experience in this field and has also worked in companies such as Accenture, Walmart, Emeritus, and many more.
Vishwath Parthasarathy is a data scientist-III at InMobi. He has also worked at Amazon and PipeCandy. His expertise extends to machine learning, deep learning, MLOps, and algorithmic trading. He has been working as a data scientist since 2017.
Understand how modern analytics teams collect, transform and use data to solve real-world business problems.
Hands-on Activity: AI-Assisted Analysis of a Business Dataset
Automate business reporting and transform raw operational data into refreshable management insights.
Hands-on Project: Automated Monthly Sales and MIS Performance Report
Build advanced SQL and cloud-data skills to prepare reliable, well-structured and AI-ready datasets.
Cloud Data Warehousing
AI-Ready Data Preparation
Hands-on Project: E-commerce Customer and Revenue Intelligence using SQL and Cloud Data
Use modern Python to clean data, automate analytics and build reusable data applications.
Hands-on Project: Automated Business Data-Cleaning and Analytics Pipeline
Apply statistical reasoning and experimentation to validate business decisions and discover meaningful patterns.
Hands-on Project: Product Conversion and Customer Engagement A/B Test
Build enterprise-grade dashboards, governed semantic models and AI-powered self-service analytics solutions.
Power Query
Data Modelling and Semantic Layers
DAX
Dashboard and Self-Service Analytics
Power BI Service, Fabric and Copilot
Hands-on Project: Executive Revenue, Customer and Profitability Dashboard
Translate data into business actions across finance, marketing, product, sales and operations.
Business Problem-Solving
Financial Analytics
Marketing and CRM Analytics
Product and Customer Analytics
Operations and Supply-Chain Analytics
Data Storytelling
Hands-on Project: Executive Business Performance Review and Recommendation Deck
Use practical Machine Learning to predict business outcomes, identify risks and improve decision-making.
Industry Project Options
Use Generative AI to automate analysis, generate business insights and build intelligent analytics applications.
Hands-on Project: AI-Powered Business Analytics Copilot with OpenAI APIs
Build intelligent analytics agents and automated workflows that can plan, use tools and complete multi-step analytical tasks.
Hands-on Project: Agentic Data Analytics Assistant and Automated Reporting Workflow
Build an automated MIS dashboard to analyse sales, profitability, regional performance, business targets, and monthly revenue trends for executive reporting.
Analyse customer transactions to identify peak hours, bestselling products, spending patterns, and store performance to improve business decisions.
Analyse content performance, genres, and viewing behaviour to uncover audience trends and support smarter content investment decisions.
Build an analytics solution to measure customer behaviour, product performance, repeat purchases, and regional revenue growth across categories.
Analyse campaign performance using impressions, clicks, conversions, acquisition costs, and ROAS to improve marketing effectiveness and ROI.
Analyse ride demand, cancellations, waiting time, surge pricing, and driver utilisation to improve operational efficiency and customer experience.
Evaluate booking experiments to measure conversion improvements, user engagement, and booking value using statistical hypothesis testing.
Build predictive models to identify customer propensity, churn risk, and financial opportunities while generating explainable business insights.
Forecast product demand across stores and categories to optimize inventory planning, reduce stock-outs, and improve supply chain efficiency.
Develop an AI assistant that queries business data, analyses CRM performance, generates reports, and automates executive business insights.
I am happy to be able to complete this certification from Intellipaat. I appreciate the entire team for providing me with an amazing learning experience through real-world projects and case studies.
Intellipaat provides a great learning environment inclusive of new-age technologies. I worked on many data science tools through live training and self-paced videos. The trainers are very supportive.
After much research and pondering, I started learning from Intellipaat. Given the great tutorials and trainers, with quick query resolution, the decision proves to be best. The experience was wonderful.
Since data science is a booming industry, learning it from Intellipaat has been the wisest decision. The curriculum covers all the current topics with efficient trainers and an effective support team.
Admission Details
The application process consists of three simple steps. An offer of admission will be made to selected candidates based on the feedback from the interview panel. The selected candidates will be notified over email and phone, and they can block their seats through the payment of the admission fee.
Submit Application
Tell us a bit about yourself and why you want to join this program
Application Review
An admission panel will shortlist candidates based on their application
Admission
Selected candidates will be notified within 1–2 weeks
Total Admission Fee
EMI Starts at
We partnered with financing companies to provide very competitive finance options at 0% interest rate
Financing Partners
Admissions close once the required number of students is enrolled for the upcoming cohort. Apply early to secure your seat.
| Date | Time | Batch Type | |
|---|---|---|---|
| Program Induction | 8th Aug 2026 | 08:00 PM - 11:00 PM IST | Weekend (Sat-Sun) |
| Regular Classes | 8th Aug 2026 | 10:00 AM - 01:00 PM IST | Weekend (Sat-Sun) |
Others Cohorts
| Date | Time | Batch Type | |
|---|---|---|---|
| Program Induction | 11th Aug 2026 | 07:00 AM - 09:00 AM IST | Weekday (Tue-Fri) |
After completing the required projects, and quizzes, you will receive a joint certificate from Intellipaat and iHUB DivyaSampark.
Intellipaat offers career services that include 3 guaranteed interviews for all learners enrolled in this course upon movement to the placement pool. Learners will be moved to the placement pool once they clear the PRT (Placement Readiness Test).
The Executive Post Graduate Certification in Data Analytics from iHUB DivyaSampark and Intellipaat is taught by Industry experts & IIT faculty. Its AI-first curriculum covers Advanced Excel, SQL, Python, Power BI, cloud data warehousing, statistics, business analytics, predictive modeling, Generative AI, RAG, Agentic AI, and workflow automation through hands-on projects.
The program combines live learning, real-world projects, career support, and campus immersion. Top performers may receive a monthly stipend, while eligible startup ideas may be considered for incubation and funding by iHUB DivyaSampark.
All candidates applying for this course are eligible for equity-based seed funding and incubation support from iHUB DivyaSampark, IIT Roorkee, for their startup ideas. Eligible learners may pitch their startup ideas. Selected proposals may receive equity-based funding of up to ₹50 lakh, subject to iHUB DivyaSampark’s evaluation and terms.
Additionally, candidates who are currently enrolled in a degree program and have their startup idea approved may also receive a monthly fellowship/scholarship of ₹8,000 during the early phase of their project to encourage and support innovation.
If you are unable to attend one of the live lectures, you will receive a copy of the recorded session within the next 12 hours. If you have any further questions beyond that, you can contact our course advisors or ask them in our community.
To be included in the placement pool, the learner must complete the course and submit all projects and assignments. He/she must then pass the PRT (Placement Readiness Test) to be accepted into the placement pool and gain access to our job portal and career mentoring sessions.
You will undergo the following sessions:
Please note that the course fee is non-refundable and we will be at every step with you for your upskilling and professional growth needs.
Yes, Intellipaat certification is highly recognized in the industry. Our alumni work in more than 10,000 corporations and startups, which is a testament that our programs are industry-aligned and well-recognized. Additionally, the Intellipaat program is in partnership with the National Skill Development Corporation (NSDC), which further validates its credibility. Learners will get an NSDC certificate along with Intellipaat certificate for the programs they enroll in.
The total duration of the program is 11 months and out of which 2 months will be for project work.
AI-assisted coding helps data analysts work more efficiently by generating SQL queries, Python scripts, Excel formulas, Power BI DAX measures, and data visualizations faster. In this program, you’ll learn how to use tools like ChatGPT, GitHub Copilot, and Microsoft Copilot while validating AI-generated outputs using industry best practices.
Yes. Along with core Data Analytics concepts, you’ll learn Generative AI, Retrieval-Augmented Generation (RAG), OpenAI APIs, LangChain, AI-powered analytics assistants, and Agentic AI workflows. You’ll also build intelligent analytics solutions that automate reporting, data analysis, and business decision-making.
AI enables Data Analysts to automate repetitive tasks, generate insights faster, build predictive models, create intelligent dashboards, and answer business questions using natural language. By combining analytics skills with AI, professionals can solve complex business problems more efficiently and deliver greater business value.
Yes. The curriculum includes 50+ industry projects and case studies, where you’ll build AI-powered business analytics solutions using Python, SQL, Power BI, OpenAI APIs, LangChain, RAG, and Agentic AI workflows across domains such as e-commerce, finance, CRM, marketing, and operations.
After completing this program, you can pursue roles such as Data Analyst, Business Analyst, Business Intelligence Analyst, Analytics Engineer, Product Analyst, Marketing Analyst, and Predictive Analytics Analyst. The addition of Generative AI and Agentic AI skills also prepares you for emerging AI-enabled analytics roles.
What is included in this course?
