Step into the world of programming with this beginner-friendly DSA course and build a strong programming foundation.
BASIC
Professional
Prepare for technical interviews with in-depth coverage of common algorithmic problems and coding challenges frequently asked by top tech companies.
Understand how data structures and algorithms are used in real-world applications such as databases, operating systems, networking, and artificial intelligence.
Gain a deep understanding of essential data structures and algorithms, including arrays, linked lists, stacks, queues, trees, graphs, sorting, and searching.
After completing this specialization, you will be well-positioned to ace your technical interviews and speak fluently about algorithms with other programmers and computer scientists.
Average Salary (US): $113,000
Common Job Titles: Game Developer, Quantitative Developer, Algorithm Engineer, Backend Developer
$149.99
Secure Your Spot Today – Full Refund Within 7 Days!
Master the core components of software engineering with our essential Data Structures and Algorithms course. Learn to implement fundamental data structures and algorithms, optimize code for performance, and excel in technical interviews.
Level: Beginner
Duration: 7 weeks
Assignments: Assignments, Quizzes, Midterm, Final
Course Content
Lecture 1: Understanding Data Structures and Algorithm Efficiency.
Importance of data structures and algorithms
Time and space complexity, Big O notation
Analyzing algorithm efficiency
Lecture 2: Arrays and Strings.
Introduction to arrays
Operations: insertion, deletion, searching
String manipulation techniques
Lecture 3: Linked Lists - Structure and Operations
Singly linked lists: implementation and operations
Doubly linked lists and circular linked lists
Lecture 4: Stacks - Implementation and Applications
Stack: implementation and applications
Expression evaluation, backtracking
Lecture 5: Understanding Queues and Their Applications
Queue: implementation and applications
Scheduling, Breadth First Search
Lecture 6: Trees - Structure and Traversal
Binary trees and binary search trees (BST)
Tree traversals (in-order, pre-order, post-order)
AVL trees: balancing techniques
Lecture 7: Heaps - Properties and Implementation
Introduction to heaps: properties and types
Binary heap: implementation and operations (insert and delete)
Lecture 8: Hash Tables and Their Applications
Applications of heaps (e.g., heap sort, priority queues)
Introduction to hash tables (Collision resolution techniques)
Problems involving heaps and hash tables
Lecture 9: Introduction to Graphs and Traversal Algorithms
Introduction to graphs: terminology and representation
Imagine a future where you are not just learning but excelling in the tech industry. Our Data Structures and Algorithms course equips you with the skills, confidence, and credentials to make that future a reality.
Foundational Knowledge / Core Concepts:
Comprehensive understanding of fundamental data structures (arrays, linked lists, stacks, queues, trees, graphs) and algorithms (sorting, searching, recursion).
Ace Your Interviews:
Mastery of algorithmic techniques like dynamic programming, greedy algorithms, and backtracking to position yourself for high-paying roles in software development and engineering..
Essential for Your Career:
Gain an in-depth understanding of data structures and algorithms, the backbone of software development.
Advanced Computer Science:
Build a strong foundation that is essential for advanced topics in computer science, such as machine learning, artificial intelligence, and systems programming.
Spots Are Limited – Enroll Now!
Opportunities like this don’t come often. Don’t let this chance to master data structures and algorithms and transform your career slip away. Enroll today and take the first step towards a bright and successful future in tech!
What’s included
14 interactive live sessions
Develop a deep understanding of key concepts
Gain a solid foundation in algorithm design and analysis principles.