Hybrid (Live + Recorded) · Next batch: May 1, 2026
Python for Data Science
Master Python for data analysis, visualization & ML foundations. Beginner-friendly with 15+ real datasets.
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Hours
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Students
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Projects
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Rating
Python 3.11Pandas 2.2NumPy 2.0Matplotlib 3.9Seaborn 0.13Scikit-Learn 1.5
What You'll Master
Zero coding required
15+ real datasets
Weekly live coding
5+ portfolio projects
Full Curriculum
1.1 Python Setup & Environment (Anaconda, Jupyter, VS Code)
1.2 Variables, Data Types & Type Casting
1.3 Operators & Expressions
1.4 Control Flow - if/elif/else, match-case
1.5 Loops - for, while, break, continue, pass
1.6 Functions, *args/**kwargs & Lambda
1.7 List, Tuple, Set & Dictionary Mastery
1.8 File I/O & Exception Handling
Real-World Projects
★Multiple Major projects (portfolio-ready, deployed)·● 10+ Mini projects (concept reinforcement)
★ Major Project
Stock Analysis Dashboard
Pandas + Plotly + Streamlit
★ Major Project
Healthcare Data Pipeline
Data cleaning + EDA + insights
● Mini Project
Sentiment Analysis Tool
Text processing + ML classifier
Certification
Certified Python Data Analyst
Complete all modules, quizzes, and projects to earn your verified certificate - recognized by top companies and shareable directly to your LinkedIn profile.
LinkedIn ShareablePDF DownloadBlockchain VerifiedIndustry Recognized
Frequently Asked
Your next move
Don't Learn.
Master.
Join thousands who turned their skills into careers. Your portfolio, your certificate, your future - starts here.