Data Structures and Algorithms in Python for Beginners - 2023 | Great Learning

Unlock the full course here: https://bit.ly/Hands-onDataSciencewit... Course Overview Begin your data science journey with the "Learn Data Structures & Algorithms in Python (2025)" course. This program guides you in building efficient data solutions using Python. Gain hands-on experience with libraries like Pandas and NumPy, and master visualization with Matplotlib and Seaborn. Perfect for beginners and intermediates, the course emphasizes real-world projects to enhance your skills in data analysis and application creation. Why Data Science Matters Data structures and algorithms are vital in computer science for efficient data storage, management, and processing. Learning these principles in Python enables you to solve complex problems and create optimized solutions. This course showcases how these skills apply in real-world innovations across various industries. What You’ll Learn By enrolling in the pro course, you will: Grasp the essentials of data structures and algorithms in Python Implement key data structures: arrays, lists, stacks, queues, linked lists, trees, graphs, and hash tables Understand and code popular algorithms: sorting (insertion, selection, quick, merge), searching (linear and binary), and more Analyze space and time complexity to optimize your code Gain practical experience via real-world coding walkthroughs Build a foundation for advanced data analysis and machine learning Topics Covered / Agenda 🏁 Here’s what you’ll master, step by step: [00:00:00] Course Introduction [00:01:54] Agenda [00:04:47] Introduction to Data Structure [00:09:11] Inbuilt and User-Defined Data Structure in Python [00:39:28] Arrays Introduction [00:52:50] Arrays Implementation [01:06:40] Advantages and Disadvantages of Arrays [01:12:26] Stack [01:31:57] Advantages and Disadvantages of Stack [01:33:53] Queue Introduction [01:38:22] Queue Implementation [01:46:07] Advantages and Disadvantages of Queue [02:48:05] Linked List [04:09:55] Advantages and Disadvantages of Linked List [04:14:04] Binary Tree Introduction [04:17:20] Binary Tree Implementation [04:26:34] Advantages and Disadvantages of Binary Tree [04:28:05] Binary Search Tree Introduction [04:31:26] Binary Search Tree Implementation [04:43:47] Advantages and Disadvantages of Binary Search Tree [04:45:16] Graphs Introduction [04:49:46] Breadth-First Search Implementation [04:53:01] Depth-First Search Implementation [04:56:42] Hash Tables Introduction [05:01:31] Hashing Implementation [05:04:54] Algorithms Introduction and Analysis [05:22:38] Finding Space and Time Complexity [05:32:57] Linear Search [05:35:52] Linear Search Implementation [05:38:27] Complexity Analysis of Linear Search [05:41:59] Binary Search [05:55:31] Binary Search Implementation [05:58:22] Complexity Analysis of Binary Search [06:01:34] Insertion Sort [06:10:11] Insertion Sort Implementation [06:14:12] Complexity Analysis of Insertion Sort [06:22:38] Selection Sort [06:33:14] Selection Sort Implementation [06:38:21] Complexity Analysis of Selection Sort [06:47:19] Quicksort [07:01:20] Quicksort Implementation [07:06:32] Complexity Analysis of Quicksort [07:12:08] Introduction to Divide and Conquer Approach [07:15:06] Merge Sort [07:27:10] Merge Sort Implementation [07:30:33] Introduction to Greedy Approach [07:31:37] Prim’s Minimal Spanning Tree Algorithm [07:38:07] Prim’s Minimal Spanning Tree Algorithm Implementation [07:42:05] Introduction to Dynamic Programming [07:43:31] Tower of Hanoi [07:46:35] Tower of Hanoi Implementation [07:54:19] Summary Further Learning / Programs Ready to go beyond? Deepen your knowledge and earn certifications with these programs: Free Data Science with Python Course (Free): https://bit.ly/FreeDataSciencewithPyt... Free Data Structures and Algorithms in Java (Free): https://bit.ly/FreeDataStructuresCour... Data Science with Python Course (Paid): https://bit.ly/Hands-onDataSciencewit... Why Watch This Video / Learn This Don’t just watch—code along and start building your own projects! Subscribe for more hands-on tutorials, coding lessons, and expert tips to help you grow as a Python programmer and data science professional. Challenge yourself with the projects covered and share how you plan to use these tools in the comments! Perfect For / Target Audience This course is perfect for: Software Developers Python Programmers Computer Science Students Aspiring Data Scientists Engineers Anyone eager to boost their coding efficiency Social Media / Follow For Updates Stay connected and get the latest updates, tips, and free resources: ✅ Telegram: https://bit.ly/Gl-Telegram ✅ Facebook: https://bit.ly/Gl-FB ✅ LinkedIn:   / verification   ✅ Blog: https://glacad.me/GL_Blog