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Computer Science Essentials: Data Structures

Packt via FutureLearn


Develop core organisational skills needed for a career in software development

Efficient data organisation is vital when handling large amounts of data, particularly within large organisations.

On this course, you’ll delve into data structure processes, improving your data handling skills and boosting your career prospects in data and development sectors.

Reinforce your understanding of data structures using the key concepts of memory and logarithms

Before diving into data structure, you’ll explore Big O notation, memory, and logarithms, ensuring you have the foundational knowledge to understand in-depth data structure applications.

By applying this theory, you’ll be equipped to assess code base complexity and improve project delivery estimates.

Examine different data types, including linear data structure and primitive data structure

Data can be grouped into primitive or non-primitive data structures and a working knowledge of both will give you the edge against less experienced candidates at interview.

You’ll discover the features of both types of data and learn the operations within linear and non-linear structures.

By understanding this terminology, you’ll be able to easily scale your work up to handle big data and provide solutions within large organisations.

Learn common operations in data structures, from linked lists to stack and queue

Data structure is a cornerstone of a developer’s coding knowledge, improving your understanding of code and helping you create solutions to complex data problems.

You’ll explore common operations including arrays, hash tables, heaps, and graphs, learning how to apply them in real-world scenarios.

By the end of this course, you’ll have improved your problem-solving approach using data structures and also have the skills to demonstrate a deep understanding of complex coding issues in various contexts.

This course is designed for anyone with an interest in data science. It is suitable for beginners with an interest in computer programming, students preparing for undergraduate study in data or computer science, and data and software professionals, including developers, wanting to enhance their understanding of data structures.


  • Big O, memory, and logarithm
    • Introduction to the course
    • Big O notation part 1
    • Big O notation part 2
    • Memory and logarithm
    • Wrap up
  • Data structures in detail
    • Introduction to Week 2
    • Arrays
    • Linked lists
    • Stack, queue and hash tables
    • Wrap up
  • More data structures in detail
    • Introduction to Week 3
    • Trees
    • Heaps, tries, and graphs
    • Wrap up

Taught by

Charlie Travis


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