What will you learn in Data Structures Course
-
Understand core data structures: arrays, linked lists, stacks, queues, trees, and graphs.
-
Learn dynamic arrays and amortized analysis for efficient memory and performance management.
-
Explore priority queues, disjoint sets, and hash tables with O(1) average-time operations.
-
Implement data structures in multiple languages (C++, Java, Python) through programming assignments.
-
Apply data structures to solve real-world problems, like file storage optimization and scheduling.
-
Gain insights into trade-offs and performance analysis of different data structures.
Program Overview
Module 1: Basic Data Structures
⏳ 4 hours
-
Study arrays, singly/doubly linked lists, stacks, queues, trees, and tree traversals.
-
Includes 7 videos, 7 readings, 1 assignment, and 1 programming assignment.
Module 2: Dynamic Arrays and Amortized Analysis
⏳ 48 minutes
-
Learn dynamic arrays and methods for amortized cost analysis: aggregate, banker’s, and physicist’s methods.
-
Includes 5 videos, 1 reading, and 1 assignment.
Module 3: Priority Queues and Disjoint Sets
⏳ 5 hours
-
Explore priority queues, heap implementations, and disjoint set data structures.
-
Understand applications in scheduling, shortest-path algorithms, and big data processing.
Modules 4–6
⏳ Various hours
-
Advanced topics including balanced trees, hash tables, graph representations, and algorithmic applications.
-
Programming assignments reinforce implementation and problem-solving skills.
Get certificate
Job Outlook
-
Prepares learners for software development, algorithm design, and competitive programming.
-
Skills are crucial for roles such as Software Engineer, Data Engineer, and Backend Developer.
-
Enhances understanding of efficient data storage, retrieval, and algorithm optimization.
-
Provides foundational knowledge for advanced courses in algorithms, databases, and big data.
Explore More Learning Paths
Deepen your understanding of data structures and strengthen your foundation in computer science. These curated resources help you advance your algorithmic thinking and prepare for real-world software engineering challenges.
Related Courses
Object-Oriented Data Structures in C Course
Build essential data structures using C and gain deeper insights into memory management and pointer operations.
Data Structures and Algorithms Specialization Course
Master algorithms, complexity analysis, and problem-solving techniques essential for coding interviews and advanced programming.
Python Data Structures Course
Learn how core data structures work in Python — perfect for beginners and those preparing for foundational CS studies.
Related Reading
What Is Data Management?
A beginner-friendly guide to how organizations store, organize, and use data — a great complement to your data structures learning.
