FLAGSHIP CHAMPIONSHIP PROGRAM • 2026 COHORT

DATA SCIENCE
CHAMPIONSHIP PROGRAM

A 24-week applied curriculum to make you industry ready. Master Statistics, Python, SQL, Exploratory Data Analysis, Machine Learning, MLOps, and Generative AI through our dual-track curriculum.

Duration
24 Weeks
Structured Roadmap
Commitment
10 Hrs / Week
192 Total Hours
Projects
6+ Portfolio
Production Ready
Mentorship
1-on-1 Live
Weekly Code Reviews
View Brief Overview
Next Cohort Starts
Upcoming Monday
Seats Filling Fast
₹44,999₹75,00040% OFF
₹3,750/month (No-cost EMI)
Full 24-Week Applied Championship Curriculum
Dual-Track Access (Foundations & Professional)
1-on-1 Dedicated Senior Industry Mentor
Weekly Code Reviews & 24/7 Doubt Resolution
6+ Production Projects & Verified Capstone
PROGRAM OVERVIEW

Engineered for Serious Aspirants. Not Passive Viewers.

The Gurukul Data Science Championship Program is an intensive, mentor-led 24-week mastery experience engineered to transform ambitious learners from foundational fundamentals to job-ready, elite Data Science professionals.

Our dual-track pedagogy adapts to your current level: beginners receive comprehensive scaffolding in analytical foundations, while working professionals dive straight into advanced enterprise ML pipelines, business problem framing, and MLOps deployment.

Program Highlights

24 Weeks of Comprehensive, Structured Learning
Dual-Track Specialization: Foundations & Professional Paths
192 Total Learning Hours with 10 Hours/Week Flexible Commitment
Weekly Tests, Coding Quizzes & Milestone Gating Assessments
Live 1-on-1 Mentor Code Reviews & Mock Technical Interviews
Portfolio of 6+ Production-Grade Projects & Industry Capstone
Recognized Gurukul Championship Certificate & Lifetime Career Network

Who Should Join?

  • College Students & Fresh Graduates seeking high-impact data careers with premium starting packages
  • Working Professionals (Software Engineers, QA, System Admins, Analysts) transitioning to Data Science & AI
  • Business & Financial Analysts wanting to master Python, Statistical ML, and Automated Analytics
  • Entrepreneurs & Product Managers aiming to leverage data-driven decision making and GenAI

Prerequisites & Eligibility

  • Foundations Track: No prior programming or advanced math background required. Week 0 covers all fundamentals.
  • Professional Track: Basic spreadsheet/analytics exposure. Week 0 placement assessment routes you into the optimal stream.
TAILORED PEDAGOGY

Dual-Track Specialization (Weeks 13–20)

Whether you are starting from zero or have tech experience, our tailored streams ensure maximum career acceleration.

Track A • For Students & Career Starters
No prior coding expected

Machine Learning Fundamentals & Guided Projects

Focus on intuitive algorithmic understanding, step-by-step Scikit-Learn workflows, extensive exploratory exercises, and building confidence through structured, mentor-guided implementations.

Key Focus Areas

Linear Regression, Logistic Classifiers, Decision Trees, K-Means Clustering, Feature Preprocessing

Milestone Outcome

2 Complete End-to-End Predictive Web Apps hosted on Streamlit Cloud with GitHub repositories

DETAILED SYLLABUS

Complete 24-Week Curriculum

9 comprehensive modules designed to take you from foundational syntax to industry-grade machine learning systems.

Master the statistical intuition that separates real data scientists from tool-runners: distributions, hypothesis testing, p-values, and Bayesian reasoning.

Key Topics Covered:
Descriptive Statistics & Central Tendency
Probability Distributions (Normal, Poisson, Binomial)
Hypothesis Testing & A/B Testing Mathematics
Confidence Intervals & Central Limit Theorem
Tools & Libraries:PythonSciPyStatsmodelsJupyter
INDUSTRY TECH STACK

Tools & Technologies You Will Master

Python(Language)
SQL(Database)
Pandas(Analytics)
NumPy(Computation)
Scikit-Learn(Machine Learning)
XGBoost(Machine Learning)
FastAPI(Deployment)
Docker(DevOps)
Git & GitHub(Version Control)
PostgreSQL(Database)
Tableau / PowerBI(Visualization)
OpenAI API(Generative AI)
MLflow(MLOps)
Streamlit(App Framework)
PORTFOLIO READY

Featured Production Projects

Every project is built from raw data, reviewed by senior engineers, and showcased in your hiring portfolio.

Mini Project

Project-Oriented Learning

Build an automated forecasting engine that predicts demand and recommends real-time pricing to maximize margins.

Simulated profit-uplift benchmark
Interactive pricing dashboard
PythonProphetPandasFastAPI
Checkpoint Project

Project-Oriented Learning

Train and validate a classification pipeline with advanced feature engineering to flag at-risk customers before they churn.

High-accuracy predictive benchmark
Explainable AI feature importance report
Scikit-LearnXGBoostSHAPStreamlit
Capstone Project

Project-Oriented Learning

A full-stack production platform that ingests real documents, runs sentiment analysis, and serves predictions through deployed REST endpoints.

Deployed live containerized app
Complete portfolio case study
FastAPIDockerPostgreSQLLangChainOpenAI
EXPERT GUIDANCE

Learn from Silicon Valley & Fortune 500 Mentors

RV

Rahul Verma

Lead Mentor & Senior Data Scientist
Amazon9+ Years in Enterprise ML & Big Data

Ex-Microsoft, currently leading pricing intelligence pipelines at Amazon. Mentored 1,500+ successful data science candidates.

DAS

Dr. Ananya Sen

Statistical AI Specialist
Ex-Google ResearchPh.D. in Applied Statistics & Machine Learning

Published author in NeurIPS & ICML. Specializes in making complex mathematical principles intuitive and applicable.

FREQUENTLY ASKED QUESTIONS

Got Questions? We Have Answers.

Yes, absolutely! The Foundations Track is specifically engineered from the ground up for beginners. Week 0 and Phase 1 start with core foundational logic and Python basics with heavy mentor guidance before moving to advanced algorithms.
BECOME A CERTIFIED CHAMPION

Your Hard Work Will Pay Off. Start Today.

Join the next cohort of the Data Science Championship Program. Limited seats available per mentor batch.

Talk to Admissions Advisor