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Data Science with Python
Learn data cleaning, exploration, statistics and machine learning foundations with Python.
Admissions Open
₹24,999 Indicative fee — update before production launch
Duration14 Weeks
FormatOnline / Classroom
LevelIntermediate
ScheduleWeekday / Weekend batches
Course overview
Build a practical data science workflow using Python. Learn notebooks, NumPy, Pandas, visualisation, statistics, feature preparation and introductory machine learning with clear project communication.
What you will be able to do
✓Prepare and explore datasets
✓Use Pandas and NumPy effectively
✓Visualize and interpret data
✓Build baseline ML models
✓Communicate data-science findings
Curriculum
Python for Data2 Weeks
NumPy
Pandas
Jupyter workflow
Data Cleaning & EDA3 Weeks
Missing data
Feature exploration
Visualization
Statistics for Data Science2 Weeks
Distributions
Sampling
Hypothesis concepts
Machine Learning Foundations4 Weeks
Regression
Classification
Model evaluation
Capstone3 Weeks
Problem framing
Modeling and interpretation
Presentation
Projects you can build
Customer Churn Analysis
Explore churn patterns and build a classification baseline.
Demand Forecasting Study
Analyse historical demand and build a regression-based forecast.
Frequently asked questions
Do I need prior experience?
The entry requirement depends on the course level. Beginner courses start from fundamentals; intermediate tracks expect basic programming or domain knowledge.
Will I build projects?
Yes. Every course includes practical labs and one or more projects designed to help you demonstrate the skills you learn.
Is a certificate included?
Yes. A completion certificate can be issued after meeting attendance, assessment and project requirements.
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