Computer Science Essentials: Algorithms
Develop your knowledge of different algorithm examples and their applications in real-world, software development scenarios with this online course from Packt.
Duration
4 weeks
Weekly study
3 hours
100% online
How it works
Unlimited subscription
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An in-depth understanding of algorithms will help you improve your problem-solving skills and develop an efficient approach to understanding complex issues within software development.
On this course, you’ll learn the essential functions and applications of algorithms within the context of data structures. You’ll also prepare for interviews, solving a variety of problems using your newly gained skills.
Search algorithms help you efficiently retrieve data, whilst sorting algorithms give you the functionality to systematically organise your retrieved data.
On this course, you’ll explore a range of search and sort algorithms, allowing you to assess organisational needs and respond with the most efficient operations.
By understanding time and space complexity, you can improve estimates and choose the most efficient algorithm to complete the tasks in your stack.
You’ll learn about tree and graph traversals, equipping you with the skills to tackle different problems, that vary in complexity, using a range of approaches.
Having delved into the processes and functions of algorithms, you’ll then put your knowledge to the test with a selection of interview-level questions.
You’ll be guided through the answers, allowing you to check your working and learning how to demonstrate your understanding to employers.
By the end of this course, you’ll have reinforced your knowledge of data structures and algorithms, and gained experience of potential interview questions, preparing you to jumpstart your career in software development.
With the knowledge of data structures and algorithms at your fingertips, you can write efficient computer programs to solve real-world problems. This course will help you to get up and running with data structures and algorithms in no time.
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