Master Data Structures & Algorithms Hands-On Coding with Real Interview Problems cover

Master Data Structures & Algorithms Hands-On Coding with Real Interview Problems

Master DSA fundamentals and crack technical interviews with confidence.

Instructor: Optus Ed-tech

Language: English , Hindi

Validity Period: Lifetime

Data Structures & Algorithms (DSA) – Offline Classroom Program

Course Description

This offline classroom program is designed to help you master Data Structures and Algorithms (DSA) through intensive hands-on coding and real interview-level problem solving. The course focuses on building strong fundamentals, improving analytical thinking, and developing the confidence required to succeed in technical interviews.

With instructor-led classroom sessions, continuous practice, AI-powered learning support, and personalized one-to-one interview sessions, this program prepares you for placements, job switches, and coding interviews.


Key Highlights

  • Offline, instructor-led classroom training
  • Hands-on coding practice in every session
  • Real interview questions and commonly asked patterns
  • Strong focus on problem-solving and optimization
  • Interactive doubt-clearing and discussions
  • AI-powered mock interviews and learning assistance
  • One-to-one personalized interview sessions

What You Will Learn

🔹 Core Data Structures
Arrays, Linked Lists, Stacks, Queues, Trees, Graphs, and Hashing taught with practical, interview-focused examples.

🔹 Algorithmic Techniques
Searching, Sorting, Recursion, Backtracking, Dynamic Programming, and other essential problem-solving techniques.

🔹 Real Interview Problem Solving
Solve real coding problems frequently asked in technical interviews and learn how to approach, optimize, and explain solutions clearly.

🔹 Interview & Career Readiness with AI
Prepare for interviews using AI-driven mock interviews, one-to-one interview sessions, personalized feedback, and resume guidance.


Course Format

  • Live instructor-led classroom sessions
  • In-class coding practice
  • Problem-solving discussions
  • Assignments and practice sets
  • Weekly revision and doubt-clearing sessions
  • AI-assisted interview preparation
  • One-to-one interview mentoring

Class Timings

  • Mode: Offline / Classroom Training
  • Duration per Class: 1.5 Hours
  • Weekdays: 7:00 PM – 8:30 PM
  • Weekends: Saturday & Sunday, 10:00 AM – 11:30 AM
  • Course Duration: 10–12 Weeks

(Timings are designed to be flexible for students and working professionals.)


Who Should Enroll

  • Students preparing for campus placements
  • Beginners building strong DSA foundations
  • Working professionals aiming for job switches
  • Anyone preparing for technical interviews
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