Python for Data Science (NumPy, Pandas, Matplotlib, Seaborn)
Statistics & Probability
Data Cleaning & Exploratory Data Analysis (EDA)
SQL & Data Handling
Machine Learning Basics (Regression, Classification, Clustering)
Data Visualization
Introduction to AI & Generative AI (optional)
Real-world Projects & Case Studies
Students & fresh graduates
Working professionals (IT / Non-IT)
Anyone interested in data, analytics, or AI
No prior coding experience required (for beginner level)
Data Analyst
Data Scientist
Business Analyst
Machine Learning Engineer (with advanced learning)
1 Subject
19 Courses • 2 Students
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