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.
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?
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Visit programme websiteProgramme Structure
Courses included:
- Basic Data Structures
- Dynamic Arrays and Amortized Analysis
- Priority Queues and Disjoint Sets
- Hash Tables
- Binary Search Trees
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 1 days
Start dates & application deadlines
Language
Delivered
Disciplines
Computer Sciences Data Science & Big Data Web Technologies & Cloud Computing View 589 other Short Courses in Data Science & Big Data in United StatesExplore more key information
Visit programme websiteAcademic 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.
Make sure you meet all requirements
Visit programme websiteTuition Fee
-
International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 days. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 days.
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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.