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Computer Science Intermediate

Data Structures & Algorithms

Master essential data structures and algorithms for coding interviews and efficient problem-solving.

4.9 (44 reviews)
298 students 10 Weeks Dr. Sneha Gupta
Data Structures & Algorithms

About This Course

Data Structures and Algorithms form the backbone of computer science and software engineering. This course provides comprehensive coverage of fundamental data structures and algorithmic techniques essential for technical interviews and efficient programming.

Prerequisites

  • Programming in any language (C/C++/Java preferred)
  • Basic mathematical concepts
  • Logic and analytical thinking

Course Curriculum

Week 1: Introduction and Arrays
  • Algorithm analysis and Big O notation
  • Array operations and techniques
  • Dynamic arrays implementation
  • Two-pointer technique
  • Sliding window problems
Week 2: Linked Lists
  • Singly and doubly linked lists
  • Circular linked lists
  • List manipulation algorithms
  • Fast and slow pointer technique
  • Linked list problems and solutions

Learning Outcomes

Upon successful completion of this course, students will be able to:

Arrays, linked lists, and dynamic structures
Stacks, queues, and their applications
Trees and graph data structures
Sorting and searching algorithms
Dynamic programming techniques
Hash tables and hashing
Algorithm complexity analysis
Problem-solving strategies

Hands-on Projects

Build real-world applications to showcase your skills

Project 1
Custom Data Structure Library

Build a comprehensive Custom Data Structure Library project to apply your learning in a real-world scenario.

Technologies:
Computer Science
Key Features:
  • User-friendly interface
  • Core functionality implementation
  • Error handling and validation
  • Documentation and testing
Project 2
Algorithm Visualization Tool

Build a comprehensive Algorithm Visualization Tool project to apply your learning in a real-world scenario.

Technologies:
Computer Science
Key Features:
  • User-friendly interface
  • Core functionality implementation
  • Error handling and validation
  • Documentation and testing
Project 3
Competitive Programming Solutions

Build a comprehensive Competitive Programming Solutions project to apply your learning in a real-world scenario.

Technologies:
Computer Science
Key Features:
  • User-friendly interface
  • Core functionality implementation
  • Error handling and validation
  • Documentation and testing

Your Instructor

D

Dr. Sneha Gupta

Senior Software Engineer & Technical Instructor

5+ Years Experience Industry Expert 1000+ Students Trained

Dr. Sneha Gupta is a seasoned professional with extensive experience in Computer Science technologies. With a passion for teaching and mentoring, they bring real-world industry insights and practical knowledge to help students master Data Structures & Algorithms concepts effectively.

5.0
Instructor Rating
1000+
Students
15+
Courses
₹16,000
Enroll Now
This course includes:
Lifetime access
Certificate of completion
24/7 support
Hands-on projects
Real-world assignments
Expert instructor guidance
Course Details:
Duration
10 Weeks
Level
Intermediate
Students Enrolled
298+ learners
Course Rating
4.9/5.0 ⭐
Certificate
Upon completion
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