Data Structures & Algorithms
Data Structures Formats for organizing, managing, and storing data in a computer so it can be accessed and modified efficiently (e.g., arrays, linked lists, stacks, queues, and trees). Algorithms are Step-by-step sets of instructions or rules designed to perform a specific task or solve a given problem, such as searching or sorting data.
Course Overview
This Data Structures and Algorithms Course Overview introduces fundamental computer science concepts to help you design scalable and high-performance software.
Key Topics Covered
- Algorithm Analysis: Learning Big-O notation to evaluate time and space complexity.
- Linear Data Structures: Implementing and optimizing arrays, linked lists, stacks, and queues.
- Non-Linear Data Structures: Exploring hierarchical trees, binary search trees, and graph representations.
- Searching and Sorting: Mastering basic and advanced algorithms like binary search, merge sort, and quicksort.
- Advanced Paradigms: Introduction to recursion, greedy algorithms, and dynamic programming
What You Will Learn to Do
- Choose the right data structure for specific real-world programming challenges.
- Write clean, optimized, and scalable code in languages like Python, Java, or C++.
- Boost problem-solving skills for software engineering roles and technical job interviews.
Who This Course Is For:
Open to school students, college undergraduates, and career switchers. No prior coding required.
Course Key Information
Self Paced
Beginner
Open to school students, college undergraduates, and career switchers. No prior coding required.
What You Will Learn
Technologies Covered
Tools & Platforms Used:
Lesson Plans & Curriculum
All chapters and lessons are publicly accessible.
Chapter 1 — Introduction to Data Structures and Algorithms
0 Lessons • Introduction to data structures and algorithms
Chapter 2 — Arrays and Strings
0 Lessons • Arrays and strings in data structures
Chapter 3 — Linked Lists
0 Lessons • Singly, doubly and circular linked lists
Chapter 4 — Stacks and Queues
0 Lessons • Stack and queue data structures
Chapter 5 — Trees and Binary Trees
0 Lessons • Trees and binary tree data structures
Chapter 6 — Binary Search Trees and Heaps
0 Lessons • Binary search trees and heap data structures
Chapter 7 — Graphs
0 Lessons • Graph representation and graph algorithms
Chapter 8 — Searching Algorithms
0 Lessons • Linear search, binary search and other searching techniques
Chapter 9 — Sorting Algorithms
0 Lessons • Common sorting algorithms and their complexity
Chapter 10 — Algorithm Complexity and Problem Solving
0 Lessons • Time complexity, space complexity and problem solving
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Course Completion Certificate
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What's Included in this Course:
- 10 Course Chapters
- 0 Lessons
- Interactive Lesson Exercises & Notes
- Official Verified Digital Certificate
- Lifetime Access to All Course Materials