Pandas GroupBy, Aggregation & Merging Explained | Python for Beginners

Learn how to group, aggregate, and merge data using Python Pandas in this beginner-friendly tutorial! These techniques are essential for analyzing datasets, summarizing information, and combining data from multiple sources. In this video, you'll learn how to: Use Pandas `.groupby()` to group data based on specific columns Apply aggregation functions such as `sum()`, `mean()`, `count()`, `min()`, and `max()` Summarize datasets and extract meaningful insights Combine multiple DataFrames using Pandas `merge()` Understand how to work with related datasets for data analysis Whether you're learning Python for beginners, exploring data science, or preparing for machine learning, these Pandas skills will help you work with real-world data more effectively. What you'll learn next:Keep building your Python and data analysis skills with The Computer Layer, where we explain Python, data science, machine learning, artificial intelligence, generative AI, AI agents, large language models (LLMs), and computer science concepts in a simple, accessible way. Subscribe to The Computer Layer for more beginner-friendly programming tutorials and tech explainers! #pandas #python #groupby #pandasgroupby #aggregation #aggregatefunctions #pandasmerge #mergedataframes #dataframes #dataanalysis #datamanipulation #pythonforbeginners #learnpython #learnpandas #pythonprogramming #datascience #pythonfordatascience #dataanalytics #numpy #machinelearning #ml #artificialintelligence #ai #generativeai #aiagents #llm #llms #computerscience #codingforbeginners #techexplained