Udacity – Data Structures And Algorithms Nanodegree
Get hands-on practice with over 100 data structures and algorithm exercises and technical mentor support when needed to help prepare you for interviews and on-the-job scenarios.
Data Structures & Algorithms
In this course you will learn data structures and algorithms by solving 80+ practice problems. You will begin each course by learning to solve defined problems related to a particular data structure and algorithm. By the end of each course, you would be able to evaluate and assess different data structures and algorithms for any open-ended problem and implement a solution based on your design choices.
What You Will Learn
Data Structures
Learn different data structures that can be used to store data. Implement different methods used to manipulate these data structures and examine the efficiency. Understand the advantages and applications of different data structures. Learn how to approach open ended problems (either in interview or real-world) and select appropriate data structures based on requirements.
Basic Algorithms
Learn and implement basic algorithms such as searching and sorting on different data structures and examine the efficiency of these algorithms. Use recursion to implement these algorithms and then learn how some of these algorithms can be implemented without recursion. Practice selecting and modifying these algorithms for a variety of interview problems.
Advanced Algorithms
Build on your algorithm skills by learning more advanced algorithms such as brute-force greedy algorithms, graph algorithms, and dynamic programming which optimizes recursion by storing results to subproblems.
Prerequisites and Requirements
To optimize your chances of success in the Data Structures and Algorithms Nanodegree program, you should have the following knowledge:
- Intermediate Python programming knowledge
- Basic algebra knowledge