Data Science Foundation Course - Complete Data Science Course for Beginners| Pandas Library | Sheryians AI School

Instructor in this video – Akarsh Vyas Welcome to the Complete Pandas Course! In this 2.5-hour full tutorial, we’ll take you from absolute beginner to mastering Pandas — the go-to library for Data Analysis and Data Manipulation in Python. What you’ll learn in this course: ✅ Introduction to Pandas and why it’s essential for data analysis ✅ Series and DataFrames explained in simple terms ✅ Data cleaning: handling missing values, duplicates ✅ Filtering, sorting, and selecting data ✅ Data aggregation and groupby operations ✅ Merging, joining, and concatenating datasets ✅ Real-world mini projects to apply Pandas skills ✅ And much more to make you ready for data-driven roles! 🔥 Source Code & Notebooks – https://github.com/AkarshVyas/Pandas-Youtube Whether you’re diving into Data Science, Machine Learning, or Data Analytics, this video will equip you with practical Pandas skills that professionals use every day. 🚀 📌 Don’t forget to like, share, and subscribe for more full courses on Data Science, AI, Machine Learning, and beyond! #PandasCourse #LearnPandas #PandasTutorial #PythonDataAnalysis #SheryiansAISchool #PythonForDataScience #FreePandasCourse #sheryianscodingschool 00:00 - 00:25 - Intro 00:25 - 02:24 - Origin story of Pandas 02:24 - 03:32 - Table of content 03:32 - 11:27 - Pandas Series 11:27 - 35:20 - Dataframes in Pandas 35:20 - 45:33 - Missing Data 45:33 - 57:46 - Merging Joining and concatination 57:46 - 01:08:02 - GroupBy and Aggregation 01:08:02 - 01:17:20 - Pivot Tables 01:17:20 - 01:24:47 - Operations 01:24:47 - 01:27:58 - Finding Data 01:27:58 - 01:56:19 - Feature Extraction Project 01:56:19 - 02:23:16 - Data Capstone Project 02:23:16 - 02:23:37 - Outro