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Explore top online data structures and algorithms courses

Data structures and algorithms play essential roles in computing and data analytics. Explore these concepts and their applications with an edX course in data structures.

Key takeaways

  • Data structures and algorithms let computer systems manage information efficiently.
  • Top computer science careers that require knowledge of data structures and algorithms feature a median salary exceeding $110,000, according to the Bureau of Labor Statistics.
  • Complement your education with courses in one or more coding languages, such as C or C++.

Top-rated online data structures courses with certificates

What are data structures?

Data structures are fundamental programming tools that help organize computer information. Like shelves within a computer program, they provide a systematic way to manage and access data and are necessary for designing efficient algorithms.

Data structure courses can advance your expertise in data management and cover topics like:

  • Arrays
  • Graphs
  • Trees
  • Linked lists
  • Algorithm analysis

Why learn data structures?

  • Data structures help computer scientists solve complex engineering and coding problems quickly and efficiently.
  • Many technology professionals, including software developers and engineers, data scientists, computer programmers, and full-stack developers, rely heavily on data structures and algorithms (DSAs) in their work.
  • By applying DSAs effectively, you help conserve organizational resources by optimizing computing processes.
  • Highlighting DSA expertise on your résumé may draw the attention of employers, potentially leading to job opportunities.

Browse online Data Structures Certificates

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Careers you can pursue with a data structures background

Learning data structures and algorithms can prepare you for a well-paying career. Jobs like those below may require a degree in computer science and many years of relevant professional experience.

Computer and information research scientist

Computer and information research scientists use algorithms to find new uses for existing computer systems.

  • Required education: Master's degree
  • Median annual salary (2024): $140,910

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How to get started learning data structures

Build foundational skills in data structures with online courses from edX. Explore flexible learning options and start developing practical knowledge you can apply in real-world programming scenarios.

1. Learn a programming language

Programming languages provide a practical context for testing and evaluating data structures and algorithms (DSAs). Learning at least one widely used programming language helps you understand how DSAs work in real-world scenarios.

Build your skills with coding courses or free online resources, and reinforce your learning through exercises and challenges. Explore the featured courses below to get started.

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Frequently asked questions

Why are data structures important?

Data structures are important because they help software systems manage data effectively. Good data structures let users retrieve the most relevant data in the least amount of time. Not optimizing data structures for a particular application can result in poor code reusability, slower processor speed, and inaccurate search results.

Where are data structures used?

Data structures play an essential role in memory stacks. Memory stacks prioritize recently used data, as users may need to return to it later. This simple function acts as the foundation upon which computer science professionals develop efficient software.

How long does it take to learn data structures?

It's possible to gain a basic understanding of the subject through online data structures courses in a few weeks. You can obtain a thorough education in data structures and algorithms by completing a bachelor's degree in computer science, which takes around four years.

How hard is it to learn data structures?

Many people find data structures challenging to understand, as they require knowledge of programming languages, mathematics, and algorithms. Grasping the basic concepts and terminology through courses and educational programs can help you learn these essential concepts.

How do you learn DSA as a beginner?

Beginners should start by learning a programming language before moving on to data structures and algorithms. Recommended programming languages include C, C++, Java, and Python. From there, study basic data structures followed by more complex ones. Finally, apply them in algorithms and practice daily.

What are the 4 types of data structures?

Four basic data structures include linear, tree, and graph data structures, along with hash tables. Algorithms designed to be efficient with one type of data structure may operate inefficiently with another one.