Data Structures

Coursera MOOC / Non-credit USD 79
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Data Structures

About this course

A good algorithm usually comes together with a set of good data structures that allow the algorithm to manipulate the data efficiently. In this online course, we consider the common data structures that are used in various computational problems. You will learn how these data structures are implemented in different programming languages and will practice implementing them in our programming assignments. This will help you to understand what is going on inside a particular built-in implementation of a data structure and what to expect from it. You will also learn typical use cases for these data structures. A few examples of questions that we are going to cover in this class are the following: 1. What is a good strategy of resizing a dynamic array? 2. How priority queues are implemented in C++, Java, and Python? 3. How to implement a hash table so that the amortized running time of all operations is O(1) on average? 4. What are good strategies to keep a binary tree balanced? You will also learn how services like Dropbox manage to upload some large files instantly and to save a lot of storage space!

What you'll learn

  • understanding common data structures
  • implementing data structures in multiple programming languages
  • applying algorithms related to data structures
  • recognizing use cases for different data structures

Course objectives

  • teach efficient manipulation of data with algorithms
  • demonstrate the implementation and performance of data structures
  • examine strategies for maintaining data structure efficiency

Skills you'll gain

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