Skip to 0 minutes and 1 second SPEAKER: Don’t let data structures get you down. Learn all the essential computer science skills and watch real life scenarios to learn what you need to know. Follow Shubham Sarda, software developer and digital marketer from Unwired Learning as he demonstrates why he’s an expert in the field. After completing this course, you’ll be able to identify various data structures, apply algorithms, explore logarithms and memory, and do a complexity analysis. And you can do it all wherever and whenever you want. Step into your future with computer science essentials, data structures from Packt and FutureLearn.
Computer Science Essentials: Data Structures
Improve your data handling and organisation knowledge by learning the fundamentals of data structure.
Duration
3 weeksWeekly study
3 hours
Computer Science Essentials: Data Structures
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.
Syllabus
Week 1
Big O, memory, and logarithm
Introduction to the course
Welcome to Computer Science Essentials: Data Structures and the start of your learning journey, brought to you by Packt.
Big O notation part 1
In this activity, we will discuss what Big O notation is and how to use it.
Big O notation part 2
In this activity, we will describe the more complex concepts related to Big O notation and it’s uses.
Memory and logarithm
In this activity, we will identify the core fundamentals of memory and logarithms in computer science.
Wrap up
You have reached the end of Week 1. In this activity, you'll reflect on what you have learned.
Week 2
Data structures in detail
Introduction to Week 2
Welcome to Week 2. In this activity we'll highlight the main topics that will be covered this week.
Arrays
In this activity, we will discuss arrays as linear data structures.
Linked lists
In this activity, we will discuss linked lists as a fundamental data structure.
Stack, queue and hash tables
In this activity, we will discuss stack, queue, and hash tables as data structures.
Wrap up
You have reached the end of Week 2. In this activity, you'll reflect on what you have learned.
Week 3
More data structures in detail
Introduction to Week 3
Welcome to Week 3. In this activity we'll highlight the main topics that will be covered this week.
Trees
In this activity, we will discuss the various types of trees as data structures and how they are used.
Heaps, tries, and graphs
In this activity, we will discuss heaps, tries and graphs as data structures and their application in computer science.
Wrap up
You have reached the end of Week 3. In this activity, you'll reflect on what you have learned.
Learning on this course
On every step of the course you can meet other learners, share your ideas and join in with active discussions in the comments.
What will you achieve?
By the end of the course, you‘ll be able to...
- Identify the various data structures.
- Demonstrate how to apply algorithms.
- Describe what memory is.
- Discuss logarithms.
- Demonstrate how to do a complexity analysis.
Who is the course for?
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.
Who developed the course?
Packt
Founded in 2004 in Birmingham, UK, Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals.
FutureLearn
FutureLearn is a leading social learning platform and has been providing high quality online courses for learners around the world over the last ten years.
What's included?
This is a premium course. These courses are designed for professionals from specific industries looking to learn with a smaller group of like-minded individuals.
- Unlimited access to this course
- Includes any articles, videos, peer reviews and quizzes
- Certificate of Achievement to prove your success when you're eligible
- Download and print your Certificate of Achievement anytime
Still want to know more? Check out our FAQs
Learning on FutureLearn
Your learning, your rules
- Courses are split into weeks, activities, and steps to help you keep track of your learning
- Learn through a mix of bite-sized videos, long- and short-form articles, audio, and practical activities
- Stay motivated by using the Progress page to keep track of your step completion and assessment scores
Join a global classroom
- Experience the power of social learning, and get inspired by an international network of learners
- Share ideas with your peers and course educators on every step of the course
- Join the conversation by reading, @ing, liking, bookmarking, and replying to comments from others
Map your progress
- As you work through the course, use notifications and the Progress page to guide your learning
- Whenever you’re ready, mark each step as complete, you’re in control
- Complete 90% of course steps and all of the assessments to earn your certificate
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