Learn Data Science
From Zero to Portfolio
Master Python, statistics, machine learning and AI with practical, mentor-led courses designed to take you from beginner to job-ready data professional.
What's Included in the Data Science Track
A complete learning journey from core foundations to advanced machine learning, with mentorship and real-world projects at every step.
Data Science Foundations
Python, statistics, probability and core analytical thinking
Exploratory Data Analysis (EDA)
Hands-on projects using Pandas, NumPy and real-world datasets
Machine Learning & AI
Supervised, unsupervised learning and model deployment basics
SQL & Data Engineering Basics
Work with SQL, relational databases and data pipelines
Data Visualization & BI
Tell stories with data using Matplotlib, Seaborn and dashboards
Mentorship & Career Support
Live doubt-solving, mock interviews and portfolio guidance
Your Data Science Learning Path
Follow a clear, 4-step roadmap designed to take you from basics to building production-ready machine learning projects.
Foundations
Get comfortable with Python, statistics and working with raw data.
Projects & EDA
Analyze real datasets, clean messy data and extract insights.
Machine Learning
Build, train and evaluate ML models for real-world problems.
Portfolio & Career
Deploy projects, build your portfolio and prepare for interviews.
Why Learn Data Science With Us?
Get a structured path, practical training, and the support you need to actually complete projects and feel confident with data.
Who Is This For?
Ideal profiles for our Data Science & AI programs
Tools & Technologies You'll Master
Work with the same tools used by data scientists in top companies – from Python and SQL to cloud platforms and BI tools.
Python Stack
Python, NumPy, Pandas, Scikit-Learn
Databases & SQL
MySQL, PostgreSQL, basic data modeling
Visualization & BI
Matplotlib, Seaborn, dashboard tools
Cloud & Deployments
Intro to cloud & model deployment concepts
Ready to Start Your Data Science Journey?
Join a structured, mentor-led learning experience and build the skills, projects and confidence you need to work with data and AI.