[Udacity] Data Structures and Algorithms
Data Structures & Algorithms
What you will learn in Data Structures and Algorithms:
- Different types of structures that hold data.
- Different ways to change data structures and evaluate their performance
- Understand the benefits and applications of different data structures
- Dealing with different issues and choosing the right data structure according to need
Get an overview of your program. Meet your instructors, and refresh your Python skills. Learn the framework to deconstruct any open-ended problem and then understand the concepts of time and space complexity.
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.
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.
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 sub problems.
Instructors: Kyle Stewart-Franz , Abe Feinberg and Brynn Claypoole
Level of training: basic to advanced
Duration: Assuming 10 hours of work per week, approximately 4 months
Size: 2.13 GB