Data Structures & Algorithms
Introduction
Data structures and algorithms are fundamental tools in computer science for organizing and processing data efficiently. They play a crucial role in optimizing software performance, solving complex problems, and designing scalable applications. With the increasing volume of data and the demand for high-speed data processing, expertise in data structures and algorithms remains essential for software engineers and developers to create robust and efficient solutions across various domains, including machine learning, artificial intelligence, and big data analysis.
Course Details
Course Duration 2 Months (Basics to Advanced)
Any qualification
No Prior coding experience needed
Ideal for Work Gap, Students, OPT
Course Offerings
Coding Tutorials, Exercises & Live Projects
Business Domain Knowledge
Interview prep
Resume prep
For Pricing Contact
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Course Structure
- Data Structures
Linked Lists
Trees
Stacks & Queues
Heaps
Graphs
Array Data Structure
String Data Structure
Linked List Data Structure
Stack Data Structure
Queue Data Structure
Tree Data Structure
Heap Data Structure
Hashing Data Structure
Graph Data Structure
Matrix Data Structure
Sets
Maps / Dictionaries
- Algorithms
Searching Algorithms
Sorting Algorithms
Recursion Algorithms
Backtracking Algorithms
Greedy Algorithms
Dynamic Programming
Pattern Searching
Divide and Conquer
Mathematical Algorithms
Geometric Algorithms
Bitwise Algorithms
Randomized Algorithms
Branch and Bound Algorithm