Data Structures and Algorithms Specialization Bootcamp

Bootcamp AI

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.


To share in LinkedIn

You can share your Certificates in the Certifications section of your LinkedIn profile, on your printed resume, or in other documents.





304 Lessons


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!Preview
03. Notebooks and Workspaces00:00:00
03.2 Notebooks and Workspaces00:00:00

Python Refresher

How to Solve Problems


Unscramble Computer Science Problems

Arrays and Linked Lists

Stacks and Queues



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.

Graph Algorithms

Dynamic Programming


Route Planner