From Beginner to Pro in Data Structures & Algorithms

Course Description

From Beginner to Pro in Data Structures & Algorithms is a structured course designed to build strong problem-solving and programming skills from the ground up. It covers essential data structures along with advanced concepts to help learners write efficient and optimized code. Through practical examples and hands-on practice, students gain the confidence to tackle real-world problems and coding interviews.

Course Fee Seats Limited

₹2000.00

Course Details

Duration
Duration
50 HRS
Duration
Course Label
SDC
Course Language
English
Duration
Course Mode
Online
Duration
Timings
Mon-Sat: 6 PM -7 PM and Sun 5 PM -7 PM
Days
Monday to Sunday
Registration Till
15 May 2026
Duration
Tentative ClassStart Date
2nd Week of June
Duration
Eligible Schools:
Certificate Criteria
Certificate Criteria
75% attendance, 50% score in all Exams/CA

Curriculum Snapshot

Explore the comprehensive course modules

1 Web Fundamentals

Client–Server Architecture, HTTP/HTTPS, HTML5: Structure, Forms, Semantic Tags, CSS3: Box Model, Flexbox, Grid, Responsive Design (Media Queries, Bootstrap Basics)

2 Fundamentals of Data Structures Algorithm Analysis

Introduction to Data Structures (Linear & Non-Linear) Abstract Data Types (ADT) Algorithm Design Basics Time & Space Complexity Asymptotic Notations (Big-O, Big-Theta, Big-Omega) Recurrence Relations & Master Theorem

3 Arrays, Strings Basic Problem Solving

Arrays (1D, 2D) & Memory Representation Operations: Insertion, Deletion, Traversal Searching Algorithms (Linear, Binary Search) Basic Sorting (Bubble, Selection, Insertion) String Handling & Applications Introduction to Problem Solving Techniques

4 Linked Lists, Stack Queue

Linked Lists: Singly, Doubly, Circular Operations & Applications Stack: Implementation (Array & Linked List) Applications (Expression Evaluation, Recursion) Queue: Types (Simple, Circular, Dequeue, Priority Queue) Practical Problem Solving

5 Trees Advanced Tree Structures

Tree Terminology & Binary Trees Tree Traversals (Inorder, Preorder, Postorder) Binary Search Trees (BST) AVL Trees (Balancing Concept) Red-Black Trees (Introduction) Heaps (Min Heap, Max Heap) Segment Trees (Range Queries – Intro)

6 Graphs Advanced Graph Algorithms

Graph Representation (Adjacency Matrix & List) Graph Traversal (DFS, BFS) Minimum Spanning Trees (Prim’s & Kruskal’s) Shortest Path Algorithms (Dijkstra, Bellman-Ford) Topological Sorting Strongly Connected Components (Intro)

7 Hashing, Advanced Structures Applications

Hashing & Collision Handling (Chaining, Open Addressing) Disjoint Set (Union-Find) Trie (Prefix Tree) Fenwick Tree (Binary Indexed Tree – Intro) Introduction to Suffix Trees Real-world Applications (Databases, AI, Networking)

8 JavaScript Browser Programming

JavaScript Basics (Variables, Functions, Arrays, Objects), DOM Manipulation & Events, ES6+ Features, Asynchronous JavaScript (Promises, Async/Await), API Calls (Fetch)

9 Frontend Framework

Introduction to React.js, Components, Props, State, Hooks (useState, useEffect),Routing (React Router), Context API (Basic State Management)

10 Backend Development

Node.js Basics, Express.js Framework, REST API Development, Middleware & Routing, Authentication Basics (JWT)

11 Database and Integration

SQL (CRUD, Joins, Normalization),NoSQL Basics (MongoDB), Database Design, Backend + Database Integration, Full Stack Integration

12 Deployment, Tools and Project

Git & GitHub (Version Control),Deployment (Netlify, Vercel, Render),Basics of AWS, Testing Basics, Security Basics (CORS, XSS, Authentication),Project

Instructor Spotlight

Learn from leading experts in stem cell research

Dr. Nikita

Dr. Nikita

Assistant Professor

Dr. Nikita Singla is an experienced academician in the field of Computer Science and Engineering with over 8 years of teaching and research experience. She has also conducted numerous placement preparation sessions to guide students toward career success. She has published more than 30 research papers in reputed Scopus-indexed journals and conference proceedings, reflecting her strong contribution to the research community. Dr. Singla has actively guided numerous B.Tech, M.Tech, and Ph.D. students in their academic and research pursuits. She is SQL certified and possesses hands-on expertise in Artificial Intelligence and Machine Learning too, with a focus on practical and research-driven learning.

Dr. Jimmy Singla

Dr. Jimmy Singla

Professor

Dr. Jimmy Singla is currently a Professor with the Department of Computer Science and Engineering, Lovely Professional University, Punjab. He is an academician with more than twelve years of experience in teaching, research, and development. He has more than 90 research publications in various reputed conferences and journals. His research interests include expert systems, machine learning, software engineering, and intelligent systems.