📌 Dataset & Pandas in Data Science | Data Handling with Python Pandas

In this video, you’ll learn how datasets are used in Data Science and how to work with them efficiently using Python Pandas. From loading raw data to cleaning, transforming, and analyzing it, this session covers everything you need to get started with real-world data.

This tutorial is perfect for beginners, freshers, and aspiring Data Scientists who want hands-on experience with datasets using Pandas.

🔍 Topics Covered in This Video:

✔ What is a Dataset in Data Science?
✔ Types of datasets (CSV, Excel, JSON, SQL)
✔ Importing datasets using Pandas
✔ Understanding DataFrames & Series
✔ Data inspection (head, tail, info, describe)
✔ Handling missing values & duplicates
✔ Data filtering, sorting & indexing
✔ Basic data analysis with Pandas
✔ Real-time dataset examples

🚀 Why Learn Datasets & Pandas?

Pandas is one of the most powerful libraries for data manipulation and analysis. Learning how to handle datasets properly is a core skill required for Data Analysts, Data Scientists, and Machine Learning Engineers.
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