Data Science & Machine Learning
Master end-to-end Data Science, Statistical Modeling, Machine Learning pipelines, and Deep Learning using Python, Scikit-Learn, and TensorFlow with industry capstones.
Curriculum Announcement & Pre-Registration Notice
This program is launching in our upcoming cohort. The comprehensive 2026 syllabus is currently being finalized by our technical steering team. Pre-register below to receive early-bird syllabus access upon release.
Course Overview
This comprehensive Data Science program prepares you for high-impact roles in Data Science, Machine Learning Engineering, and Predictive Analytics. You will master data wrangling with Pandas and NumPy, exploratory data analysis, statistical modeling, supervised/unsupervised machine learning algorithms, deep neural networks, and model deployment via REST APIs.
Quick Facts
Who Should Join
Target Audience
- Aspiring Data Scientists, ML Engineers, and Data Analysts
- Software developers seeking to transition into AI and Data Science
- Fresh graduates and STEM professionals with analytical aptitude
Expected Baseline Knowledge
- Basic understanding of high school mathematics (Linear Algebra, Calculus, Statistics basics)
- Basic programming curiosity (Python fundamentals taught from scratch in Module 1)
- Laptop/desktop with internet access for Jupyter/Colab notebooks
What You Will Learn
Curriculum (Updating Soon)
Cohort Launching SoonDetailed Module Curriculum Under Final Review
Our industry architects and trainers are fine-tuning the 2026 hands-on lab exercises, practical project milestones, and tools for this track. The complete week-by-week syllabus will be updated shortly before batch launch.
Planned Hands-On Projects (Preview)
High-level preview of portfolio projects being built for this cohort.
Practice Project: Predictive Real Estate Valuation Engine
Problem Addressed: Predict housing market prices using multi-feature geospatial and economic datasets.
Feature engineering pipeline + tuned Random Forest & Ridge Regression models with cross-validation.
- Jupyter notebook analysis
- Evaluated ML model pipeline
- Feature importance chart
Simulated Business Project: Enterprise Credit Risk Assessment Platform
Problem Addressed: Financial institutions need automated loan default prediction to minimize non-performing assets.
End-to-end credit scoring pipeline with imbalanced data handling (SMOTE), XGBoost, and FastAPI deployment.
- Production REST API
- Model drift report
- Docker container image
Class Experience & Learning Environment
Live Sessions
Live instructor-led interactive weekend/evening sessions with instant doubt resolution.
Recordings & Access
Full 1080p HD recordings uploaded within 2 hours of class completion.
Assignments & Work
Hands-on coding notebooks and dataset challenges with automated grading.
Doubt & Support
Dedicated Slack support channel and weekly mentor 1-on-1 office hours.
Lead Industry Trainer
Senior Staff Data Scientist
AI/ML Lead Architect & Analytics Specialist
11+ Years in Enterprise Data Science & Predictive Systems
Schedule & Transparent Fees
Upcoming Cohort — Pre-Registration Open
Weekends: 7:00 PM – 9:00 PM IST | Weekdays: 8:00 AM – 9:30 AM IST
Early Bird Scholarship Available (Pay in 2 Easy Installments)
Pre-register now to reserve your seat with zero upfront commitment.
360° Career Assistance Scope
Substantiated referral assistance and technical preparation without misleading promises.
Custom ATS-optimized data science resume highlighting real-world predictive models and code repos.
2 Technical mock interviews covering Python algorithms, statistics, and ML system design.
Repository of 250+ top Data Science interview questions and coding challenges.
Direct profile sharing with top tech startups, GCCs, and enterprise analytics hiring teams.
Support Duration: 6 Months dedicated career counseling and placement assistance.
- Complete all lab assignments
- Submit and present capstone project
- Attend mock evaluations