Explore Our Comprehensive Training Curriculum on Data Structures And Algorithms
Discover the full potential of Data Structures And Algorithms, one of the most essential tools in today’s market. Whether you're looking to build cutting-edge applications, enhance your skills, or explore new career opportunities, Data Structures And Algorithms offers everything you need. Our training curriculum provides a comprehensive overview, covering all key aspects from the fundamentals to advanced techniques. Learn how to leverage Data Structures And Algorithms to create real-world solutions, gain hands-on experience with industry-standard tools, and stay ahead of the curve in an ever-evolving landscape. Join us and take the next step in mastering Data Structures And Algorithms!"
Tools & Technologies You’ll Master in Data Structures And Algorithms Course
💳 Course Purchase Info
Everything you need to know before enrolling
- ⏱️ Duration: 60 Hours
- 📚 Modules: 8
- 👥 Students: 40
- 🎯 Level: Beginner
- 🗣️ Language: English
Industry-Aligned Curriculum for This Course
Explore each topic in-depth through interactive sessions, real-world use cases, and tool-based learning. You’ll not only understand the theory but also build practical skills that matter in actual roles.
30+
Case Studies & Projects
Yes
Certificate of Completion
100%
Career Support & Guidance
Key Highlights in Data Structures And Algorithms Course
Every Feature Empowers The Career You’ve Always Wanted
80% Practical Training
2 Global Certifications
Integrated Internship
Personalised Career Coach
Instant Doubt Solving
Alumni Network
Multi-Domain Interviews
Profile Building Session
📘 Curriculum Overview
Module 1: Introduction to Data Structures 2 Hours for this Module
+Concept of Data Structure
-
Examples
-
Need of Data Structures
-
Advantages of using DS
Module 2: Algorithm & Pseudocode 3 Hours for this Module
+Algorithm Definition
Characteristics of Algorithm
Elements of Algorithm
Pseudocode Example
Difference between Algorithm & Pseudocode
Module 3: Functions 3 Hours for this Module
+What is a Function?
-
Types of Functions
-
How Functions Work
-
Function Recursion and How it Works
Module 4: Arrays 4 Hours for this Module
+Concept of Arrays
-
Types of Arrays
-
Basic Programs
-
Arrays with Functions
-
Single & 2D Arrays as Function Arguments
Module 5: Pointers 3 Hours for this Module
+Pointer Basics
-
Pointer with Functions
-
Call by Reference
-
Array of Pointers & Pointer to Array
Module 6: Structures 3 Hours for this Module
+Understanding Structures
-
Pointer Structure Variable
-
Structures as Function Arguments
-
Call by Member Value
-
Passing Reference of Structure
Module 7: Stack 4 Hours for this Module
+Operations on Stack
-
Array & Linked Representation
-
Programs on Stack
-
Push & Pop Operations
-
Traversing
Module 8: Applications of Stack 4 Hours for this Module
+Arithmetic Expression Evaluation
-
Notations: Infix, Postfix, Prefix
-
Conversion: Infix ↔ Postfix
-
Conversion: Postfix ↔ Infix
-
Evaluation of Postfix & Prefix using Stack
Module 9: Queue 4 Hours for this Module
+Operations on Queue
-
Array & Linked Representation
-
Insert & Delete Operations
-
Circular Queue Representation
-
Deque (Double-ended Queue)
-
Priority Queue
-
Applications of Queue
Module 10: Linked List 6 Hours for this Module
+Concept of Linked List
-
Difference between Linked List & Array
-
Singly Linked List – Representation, Operations, Traversing
-
Insertion (First, Last, Position, After a Node Value)
-
Deletion (First, Last, Position, After a Node Value)
-
Doubly Linked List – Representation, Operations, Insertion & Deletion
-
Circular Linked List & Header Linked List Examples
Module 11: Trees 6 Hours for this Module
+Tree Terminology
-
Binary Tree & Complete Binary Tree
-
Binary Search Tree (BST)
-
Tree Traversals (Inorder, Preorder, Postorder)
-
Creation of Binary Tree from Traversal Methods
-
Expression Tree & Expression Manipulation
-
Insertion & Deletion in BST
-
AVL Tree, M-way Search Tree, B+ Tree
Module 12: Graphs 6 Hours for this Module
+Graph Terminology
-
Representation of Graphs
-
Path Matrix
-
Graph Traversals – BFS, DFS
-
Minimum Spanning Tree (MST)
-
Kruskal’s Algorithm
-
Prim’s Algorithm
-
Warshall’s Algorithm (Shortest Path)
Module 13: Hashing & Searching 4 Hours for this Module
+Linear Search
-
Binary Search
-
Hash Functions
-
Hashing Techniques
-
Chaining
Module 14: Sorting 8 Hours for this Module
+Bubble Sort
-
Selection Sort
-
Insertion Sort
-
Quick Sort
-
Merge Sort
-
Heap Sort
-
Radix Sort
🎓 What You Will Learn
Practical Knowledge
Learn concepts through real-life examples and hands-on activities designed to strengthen your understanding.
Critical Thinking
Develop the ability to analyze problems, evaluate solutions, and make informed decisions with confidence.
Communication Skills
Improve your written and verbal communication to express ideas clearly and effectively.
Problem Solving
Build logical reasoning and creativity to tackle challenges effectively and independently.
🚀 Upcoming Batches
Hurry up! Limited seats available for our most in-demand courses.
🔥 Filling Fast
Become Career Ready With Us
- Enroll once & get access to all courses.
- Small batch sizes (only 20 seats).
- Internships + 2 Global Certifications.
- Practice on platforms like LeetCode & HackerRank.
- 6-Month On-Job Support & Corporate Visits.
Turn Your Learning Into a Career That You’re Proud Of
01
Follow 3A
Attendance, Assignment & Assessment — your path to structured learning success.
02
Industry Skills
Hands-on practice with tools that match real industry demand.
03
Profile Building
Build a winning resume, LinkedIn profile & web portfolio.
04
Exam
Prove your expertise with our industry-standard evaluation exam.
05
Global Certification
Earn globally recognized certifications to showcase your skills.
06
Internship
Apply what you’ve learned in real-world projects & gain experience.
Instructors
Mentors Behind Your Career Growth
Mr. Sujeet Yadav
Fullstack Teacher
St.Vincent Palloti College of Engineering & Technology, Nagpur.
Mr. Manoj Chowrasiya
Fullstack Teacher
University Department Of Computer Science, University Of Mumbai Kalina Campus.
Mr. Vivek Pal
Fullstack Teacher
University Department Of Computer Science, University Of Mumbai.
Mr. Shibin Alva
Fullstack Teacher
Thakur College of Engineering & Technology,Kandivli.
Mr. Aakash Vishwakarma
Fullstack teacher
Thakur College of Engineering & Technology, Mumbai.
Mr. Uttam Vishwakarma
Fullstack Teacher
Thadomal Shahani College of Engineering, Bandra.
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