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Lists & List Manipulation in Python | Data Analytics Course | YouTube Description In this video, you will learn Lists and List Manipulation in Python, one of the most important concepts for Data Analytics. Lists are used to store, manage, and analyze collections of data efficiently, making them essential for real-world analytics tasks. We will start with the basics of Python lists, including how to create lists, access elements, and understand indexing and slicing. Then, we’ll move on to list manipulation techniques such as adding, removing, and updating elements. You’ll also learn how to use built-in list methods and apply loops and conditions to work with list data. By the end of this session, you’ll understand how lists are used in data cleaning, data processing, and data analysis with practical examples relevant to analytics projects. 🔹 Topics Covered: What is a List in Python Creating Lists and Accessing Elements Indexing and Slicing Adding, Removing, and Updating List Items Common List Methods (append, insert, remove, pop, sort, etc.) Looping through Lists Real-world Data Analytics Examples using Lists This video is perfect for beginners, students, and professionals who want to build a strong foundation in Python for Data Analytics. 👉 Don’t forget to Like, Share, and Subscribe to our channel for more Python and Data Analytics tutorials by Palin Analytics.