There are several good sources to learn about data structures and algorithms. Here are some highly recommended ones:

1. “Introduction to Algorithms” by Thomas H. Cormen et al.: This book is considered the “bible” of algorithms. It provides a comprehensive introduction to various data structures and algorithms, their analysis, and implementation. It covers a wide range of topics and is widely used as a textbook in many universities.

1. Coursera: Coursera offers several excellent courses on data structures and algorithms. The most popular one is “Algorithms, Part I” and “Algorithms, Part II” offered by Princeton University. These courses are taught by renowned professors and provide a solid foundation in algorithms.

1. GeeksforGeeks (www.geeksforgeeks.org): GeeksforGeeks is a popular online platform that offers a vast collection of articles, tutorials, and practice problems on data structures and algorithms. It covers topics ranging from basic to advanced and provides implementation examples in various programming languages.

1. MIT OpenCourseWare: MIT OpenCourseWare provides free access to course materials from various MIT courses, including those on data structures and algorithms. “Introduction to Algorithms” by MIT is a highly recommended course that covers fundamental algorithms and their analysis.

1. Algorithms, Part I and II on YouTube by Robert Sedgewick and Kevin Wayne: These video lectures are based on the courses taught at Princeton University. They cover a wide range of algorithms and data structures and are highly regarded for their clarity and depth of content.

1. LeetCode (www.leetcode.com): LeetCode is a popular online platform that offers a collection of coding interview questions. It’s a great resource to practice implementing various algorithms and data structures.

1. Topcoder (www.topcoder.com): Topcoder is an online competitive programming platform that hosts coding competitions and provides practice problems. Participating in coding challenges on Topcoder can help improve your problem-solving skills and expose you to different algorithms and data structures.

1. Codecademy (www.codecademy.com): Codecademy offers interactive coding exercises and tutorials on various programming languages, including courses on data structures and algorithms. It’s a beginner-friendly platform that can help you get started with the basics.

Remember, learning data structures and algorithms is a continuous process. It’s important to practice implementing algorithms, analyze their time and space complexity, and solve programming problems to strengthen your understanding.