Learn data structures and algorithms

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.

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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

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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.

Data structures course curriculum

Foundational courses in data structures introduce key elements, such as:

Data types and the differences between concrete and abstract data
Sequences, sequence types, and their mathematical properties
Basic data structuring tools, such as graphs, maps, sets, and trees

Beyond the introductory level, you'll focus on more advanced concepts along with algorithmic approaches to data structuring and its real-world applications. Topics may include:

Situational strategies for choosing a data structure type
Visual and analytical tools for evaluating DSA performance
Implementing advanced DSA tools in specific use cases

How to get started learning data structures

1. Learn at least one programming language

Programming languages provide a structured and practical context for testing, refining, and evaluating DSA performance. A strong working knowledge of at least one widely used programming language can help you understand how DSAs function in real-world situations.

You can learn programming languages with coding courses, or by taking advantage of the many free, self-guided resources available online. Practice by using coding exercises, challenges, and instructional videos. Regular, consistent effort can accelerate your uptake of the material.

2. Learn data structures

After learning at least one major programming language, you can move on to study data structures themselves. Learn the basics of data structures and their functions and pay attention to their interactions with your chosen programming language.

Courses in data structures can help, but you can also learn from computer science textbooks, online tutorials, and instructional videos. Apply your knowledge with practice exercises and problems, challenging yourself with increasing levels of difficulty as your skills improve.

3. Learn algorithms

To understand algorithms, you must recognize their underlying mathematical principles covered in areas like calculus and discrete mathematics. Building up your confidence with these math branches can accelerate your study of algorithms.

Online algorithms courses and programs offer a structured, instructor-led option that appeals to many learners. As a supplement or alternative, you can also use online resources, videos, and tutorials to explore and enhance your understanding of key concepts.

4. Practice solving problems daily

Continual growth requires regular practice. Daily exercises can help you advance faster and with more confidence. If possible, commit at least a little time to practicing with DSAs on a daily basis.

You can use practice problems, exercises, and DSA challenges to develope your skills and measure your progress. You can also find practice tips and resources through online computer science forums and social media communities.

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Frequently asked questions about data structures

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 it requires 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.

Last updated August 5, 2025