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Overview
A good algorithm usually comes together with a set of good data structures that allow the algorithm to manipulate the data efficiently. In this 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.
Key facts
A few examples of questions that we are going to cover in this Data Structures course offered by Coursera in partnership with UC San Diego are the following:
- What is a good strategy of resizing a dynamic array?
- How priority queues are implemented in C++, Java, and Python?
- How to implement a hash table so that the amortized running time of all operations is O(1) on average?
- What are good strategies to keep a binary tree balanced?
Skills you'll gain
- Algorithms
- Computer Programming
- Data Structures
- Theoretical Computer Science
- Problem Solving
- Computer Programming Tools
- Mathematical Theory & Analysis
- Programming Principles
- Mathematics
Programme Structure
Courses included:
- Basic Data Structures
- Dynamic Arrays and Amortized Analysis
- Priority Queues and Disjoint Sets
- Hash Tables
- Binary Search Trees
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- Mountain View, United States
Disciplines
Computer Sciences Data Science & Big Data Web Technologies & Cloud Computing View 417 other Short Courses in Web Technologies & Cloud Computing in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Intermediate Level
- Basic knowledge of at least one programming language: C++, Java, Python, C, C#, Javascript, Haskell, Kotlin, Ruby, Rust, Scala.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
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International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
Additional Details
- Coursera Plus: Subscribe to build job-ready skills from world-class institutions.
- $59/month, cancel anytime or $399/year with 14-day money-back guarantee
Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.
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