Data Science · Offline

Data Science with Python

Go beyond dashboards — learn Python, statistics, machine learning workflows, and how to turn raw data into predictive insight.

5–6 Months Offline Beginner → intermediate

Who this is for

Learners who want a deeper analytics path into Data Science roles. Suitable after basics or for motivated beginners ready for a longer offline program.

What you’ll learn

Python programming for data science
Statistics and exploratory data analysis
Feature engineering and classical ML models
Model evaluation, validation, and practical pitfalls
End-to-end projects: from dataset to insight presentation

Curriculum structure

Module 1Python & data wrangling

Module 2Statistics & EDA

Module 3Supervised & unsupervised ML

Module 4Model evaluation & project delivery

CapstoneFull data science case study

How you’ll learn

Offline lectures plus coding labs. You build multiple projects, present findings, and get mentor feedback on both code quality and business communication.

Career outcomes

Data Scientist (junior), ML Analyst, Analytics Engineer (entry), Data Science associate roles.