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Programming and Software Development
Data Structures and Algorithms in Practice
Choose the right data structure, analyse performance with Big-O and solve real and interview-style problems with proven algorithmic patterns.
About this course
Crack technical interviews and write faster code. Master the core data structures, algorithms and problem-solving patterns behind every coding interview.
What you will learn
- Analyse the time and space complexity of code using Big-O notation.
- Use arrays, strings, hash maps, linked lists, stacks, queues, trees and heaps appropriately in Python.
- Compare sorting algorithms and apply binary search, including searching for answers.
- Write recursive and backtracking solutions and traverse graphs with BFS and DFS.
- Apply two pointers, sliding windows and dynamic programming to recognisable problem types.
- Approach timed coding problems with a repeatable process of clarifying, planning, coding and testing.
Curriculum
Module 1Foundations4 lessons
- 1Why DSA Matters for Real Engineers Free preview
- 2Big-O Analysis Without Fear
- 3Arrays and Strings Patterns
- 4Hash Maps: The Workhorse
- QModule quiz (4 questions)
Module 2Core Structures4 lessons
- 5Linked Lists
- 6Stacks and Queues
- 7Trees and Binary Search Trees
- 8Heaps and Priority Queues
- QModule quiz (4 questions)
Module 3Algorithms4 lessons
- 9Sorting Algorithms Compared
- 10Binary Search Patterns
- 11Recursion and Backtracking
- 12Graph Traversals: BFS and DFS
- QModule quiz (4 questions)
Module 4Problem-Solving Mastery4 lessons
- 13Two Pointers and Sliding Windows
- 14Dynamic Programming Introduction
- 15Interview Strategy and Practice
- 16Course Project: Timed Problem Sets
- QModule quiz (4 questions)
PFinal project: Three timed problem sets with tested, analysed solutions
Who this course is for
- Beginner programmers who can write basic Python and want to write faster, more scalable code.
- Developers preparing for technical interviews and coding assessments.
- Self-taught engineers who want the computer science foundations behind everyday tools.
Requirements
- Basic Python: variables, loops, functions, lists and dictionaries.
- A computer with Python 3 and a code editor installed.
- Comfort with simple arithmetic; no advanced mathematics is required.
What is included
Written lessons
16 lessons, each with a practical exercise and key points to remember.
Module quizzes
A short quiz at the end of each module. Pass mark 70%, and you can retake it.
Final project
Three timed problem sets with tested, analysed solutions. A practical brief with steps and a way to check your own work.
Certificate
A certificate of completion from EMFAD Courses with a unique code anyone can verify.
How the certificate works
Complete every lesson and pass every module quiz with 70% or more. Your certificate then appears in your learner area, ready to print or save as PDF. It shows your name, the course title, the completion date and a unique code. It is a certificate of completion from EMFAD Courses, not an accredited qualification.
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