Exploring Data with Python: NumPy and Pandas Basics
Welcome to Video 8 of the Applied AI & ML Course (Free, 6 Months) by Gudsky Research Foundation.
In this practical hands-on session, we’ll learn how to explore and manipulate data in Python using two essential libraries: NumPy and Pandas. These tools form the foundation of data science and machine learning projects.
💡 In this video, you will learn:
Introduction to NumPy arrays
Array creation, indexing, slicing & reshaping
Mathematical operations with NumPy
Introduction to Pandas DataFrames & Series
Loading datasets into Pandas
Data selection, filtering & transformations
Descriptive statistics with Pandas (mean, median, describe)
Hands-on coding with real examples
🎯 Why this video matters:
Before building AI/ML models, you must learn how to handle, explore, and analyze datasets. NumPy and Pandas are the most widely used tools for data preparation in ML pipelines.
📅 Course Duration: 6 Months (24 Weeks, 96 Videos)
🌐 Completely Free | Offered by Gudsky Research Foundation
👉 Next Video Preview: Data Visualization Fundamentals with Matplotlib
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