About This Course
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.
Certificate
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Curriculum
304 Lessons
Introduction
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, essential tools for evaluating different data structure & algorithms.
01. Welcome!
03. Notebooks and Workspaces00:00:00
03.2 Notebooks and Workspaces00:00:00
Python Refresher
How to Solve Problems
Efficiency
Unscramble Computer Science Problems
Arrays and Linked Lists
Stacks and Queues
Recursion
Trees
Maps and Hashing
Show Me the Data Structures
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.
Sorting Algorithms
Faster Divide & Conquer Algorithms
Problems vs. Algorithms
Greedy 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 sub problems.
