Data Structures and Algorithms

About Course

Master the foundation of computer science and programming with our comprehensive Data Structures and Algorithms (DSA) course.

This course is designed to help you understand the core principles that power efficient problem-solving and coding. From arrays and linked lists to advanced algorithms and dynamic programming, you’ll develop the skills to tackle complex coding challenges and optimize solutions. Perfect for beginners and experienced programmers alike, this course equips you with the knowledge to ace coding interviews and build high-performance applications.

Core data structures: Arrays, Linked Lists, Stacks, Queues, Hash Tables
Advanced structures: Trees, Graphs, Heaps, Tries
Key algorithms: Sorting, Searching, Dynamic Programming, Greedy Methods
Time & space complexity analysis (Big-O notation)
Real-world problem-solving using DSA
Perfect for coding interviews or enhancing your programming skills.
Enroll now and take your software engineering skills to the next level!

Course Content

Module 1: Introduction to Data Structures
Arrays, Linked Lists, Stacks, Queues Basic operations and Big-O notation

Module 2: Advanced Data Structures
Trees, Graphs, Heaps, Hashing

Module 3: Algorithms Fundamentals
Searching and Sorting Algorithms Recursive methods and Divide & Conquer

Module 4: Dynamic Programming & Greedy Algorithms
Fibonacci, Knapsack, Longest Common Subsequence Greedy techniques for optimization

Module 5: Algorithm Design Techniques
Backtracking, Divide & Conquer, Greedy Algorithms Advanced Topics: Graph algorithms, String matching, Advanced dynamic programming

Module 6: Interview Preparation
Technical interview tips, resume building, career guidance

Capstone Project:
Real-world project to apply DSA concepts

Certification

Student Ratings & Reviews

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About Course

What Will You Learn?

Course Content

Module 1: Introduction to Data Structures
Arrays, Linked Lists, Stacks, Queues Basic operations and Big-O notation

Module 2: Advanced Data Structures
Trees, Graphs, Heaps, Hashing

Module 3: Algorithms Fundamentals
Searching and Sorting Algorithms Recursive methods and Divide & Conquer

Module 4: Dynamic Programming & Greedy Algorithms
Fibonacci, Knapsack, Longest Common Subsequence Greedy techniques for optimization

Module 5: Algorithm Design Techniques
Backtracking, Divide & Conquer, Greedy Algorithms Advanced Topics: Graph algorithms, String matching, Advanced dynamic programming

Module 6: Interview Preparation
Technical interview tips, resume building, career guidance

Capstone Project:
Real-world project to apply DSA concepts

Certification

Quick Links

Resources

About Course

What Will You Learn?

Course Content

Module 1: Introduction to Data Structures Arrays, Linked Lists, Stacks, Queues Basic operations and Big-O notation

Module 2: Advanced Data Structures Trees, Graphs, Heaps, Hashing

Module 3: Algorithms Fundamentals Searching and Sorting Algorithms Recursive methods and Divide & Conquer

Module 4: Dynamic Programming & Greedy Algorithms Fibonacci, Knapsack, Longest Common Subsequence Greedy techniques for optimization

Module 5: Algorithm Design Techniques Backtracking, Divide & Conquer, Greedy Algorithms Advanced Topics: Graph algorithms, String matching, Advanced dynamic programming

Module 6: Interview Preparation Technical interview tips, resume building, career guidance

Capstone Project: Real-world project to apply DSA concepts

Certification

Student Ratings & Reviews

Quick Links

Resources

Module 1: Introduction to Data Structures
Arrays, Linked Lists, Stacks, Queues Basic operations and Big-O notation

Module 2: Advanced Data Structures
Trees, Graphs, Heaps, Hashing

Module 3: Algorithms Fundamentals
Searching and Sorting Algorithms Recursive methods and Divide & Conquer

Module 4: Dynamic Programming & Greedy Algorithms
Fibonacci, Knapsack, Longest Common Subsequence Greedy techniques for optimization

Module 5: Algorithm Design Techniques
Backtracking, Divide & Conquer, Greedy Algorithms Advanced Topics: Graph algorithms, String matching, Advanced dynamic programming

Module 6: Interview Preparation
Technical interview tips, resume building, career guidance

Capstone Project:
Real-world project to apply DSA concepts