Professional Certificate Program in Data Science

    Masterclasses by IIT Jammu Faculty and Subject Matter Experts

    1:3 Monthly Mentorship with Industry Professionals

    Certification by IIT Jammu

    100% Placement Assistance by upGrad

    3 Years career portal access by upGrad

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WHAT YOU WILL GET

Learn. Apply. Grow.

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Work on Live Industry Projects & Capstone Projects

Build End-to-End Data Science Solutions

Build Interactive Dashboards with Power BI & Tableau

Build Predictive Models for Real Business Problems

1:3 monthly Mentorship with Industry Professionals

Certification by IIT Jammu

IIT Jammu Data Science Course
Built and Offered by IIT Jammu Through I3C-IIT Jammu in Collaboration with upGrad X
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LEARNER STORIES

What 6 Months Looks Like When You Stop Overthinking It.

WHO THIS IS FOR

Built for Ambitious Learners

Get certified by IIT Jammu

HOW WE COMPARE

The Offline Edge, Side by Side.

Doubt Resolution

Mentorship

Hands-on Practice

Peer Network

Learning Environment

Industry Leader Access

Placement Opportunities extended by upGrad

This Program

Resolved instantly, in person

Real classrooms. Real faculty. Real-time guidance.

Live projects with real-time feedback

Daily interaction, real collaboration

Structured, distraction-free campus setting

CXO, MNC mentor & industry leader sessions

100% placement support through upGrad + 3 years career support

Other Programs (Online)

Submitted as a query, answered later

Limited to scheduled video calls

Self-paced, minimal guidance

Limited to online forums

Flexible, but distraction-prone

Trainer-led sessions only

Limited or none

ABOUT THIS COURSE

Program Highlights

PROGRAM CURRICULUM

Five Modules. Five Milestones. A Career You Can Build On.

  • Query Business Data: SQL fundamentals, filtering, sorting, aggregations, GROUP BY, HAVING, CASE statements, and business KPI queries.
  • Work Across Complex Databases: JOINs, subqueries, Common Table Expressions (CTEs), string/date functions, and multi-table analysis.
  • Advanced Analytical SQL: Window functions including ROW_NUMBER, RANK, DENSE_RANK, LEAD, and LAG for real-world analytical problems.
  • Performance & Modern Data: Query optimization, indexes, EXPLAIN concepts, JSON/semi-structured data, and connecting SQL databases with analytical workflows.
  • Industry Mini-Project: BharatPe – Customer, Transaction & Business Performance Analysis using SQL.
  • Python for Data Applications: Variables, data structures, conditions, loops, functions, comprehensions, file handling, exception handling, modules, and JSON.
  • Data Analysis with NumPy & Pandas: Numerical computing, DataFrames, data cleaning, transformation, aggregation, merging, filtering, and KPI calculation.
  • Exploratory Data Analysis: Identifying patterns, relationships, anomalies, and business drivers through distributions, correlation, outlier analysis, and feature exploration.
  • Data Visualization & Storytelling: Building analytical visualizations using Matplotlib and Seaborn and translating analysis into meaningful business insights.
  • Industry Mini-Projects:
    • QuickCart: Python Business Process & Reporting Automation
    • Olist: End-to-End Exploratory Data Analysis & Business Insights
  • Descriptive Statistics: Mean, median, variance, standard deviation, percentiles, distributions, skewness, kurtosis, and outlier analysis.
  • Probability for Data Science: Probability concepts, conditional reasoning, probability distributions, Z-scores, and statistical foundations for modelling.
  • Statistical Inference: Sampling, confidence intervals, hypothesis testing, p-values, significance levels, and Type I & Type II errors.
  • Statistics for Business Decisions: Correlation vs. causation, A/B testing, customer behaviour analysis, and using statistical evidence to validate business decisions.
  • Applied Business Case: Designing and evaluating an A/B test, interpreting statistical significance, and converting results into a data-backed business recommendation.
  • Build Predictive Models: Linear & Multiple Regression, Logistic Regression, K-Nearest Neighbours, and Decision Trees for real-world prediction problems.
  • Ensemble & Unsupervised Learning: Random Forest, Gradient Boosting concepts, Naïve Bayes, and K-Means clustering for classification and customer segmentation.
  • Feature Engineering & Model Preparation: Missing-value treatment, categorical encoding, scaling, feature creation, feature selection, outlier handling, and data leakage prevention.
  • Evaluate & Operationalize Models: Cross-validation, MAE, RMSE, accuracy, precision, recall, F1-score, and ROC-AUC; connecting MySQL with Python and building end-to-end ML workflows with basic deployment.
  • Industry Mini-Project: Olist – End-to-End Machine Learning for Customer Segmentation & Predictive Business Analytics.

HOW ADMISSION WORKS

A Simple, Guided Process to Find The Right Fit.

Please find below the detailed steps to be followed as a part of the admission process.

Start Your Application

Follow the below application process to begin your enrollment process. 

Book your visit at upGrad X Centre

Meet our experts, explore programs in detail, and see how our blended learning approach helps you achieve real career growth.

Schedule your Visit

Mentored by Top Professionals

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Faculty Members

All Your Questions, Answered

This Data Science program is offered by IIT Jammu through I3C-IIT Jammu in collaboration with upGrad X. It blends classroom learning with live industry mini-projects from brands like Hindustan Unilever and BharatPe. Learners gain a recognised IIT Jammu certificate, CXO-led masterclasses, and hands-on exposure to real business datasets across five structured modules.

Disclaimer

  1. The above statistics depend on various factors and individual results may vary. Past performance is no guarantee of future results.

  2. The student assumes full responsibility for all expenses associated with visas, travel, & related costs. upGrad does not .