
The DSA Saga
It is a live + recorded course starting from scratch, i.e. Programming Language Basics to advanced topics like Dynamic Programming and Graph Algorithms.
The course is designed for both college students looking for their first job as well as working professionals looking for a job switch.
Batch Details:
Start Date: Third Week of April 2023
Course Duration: 6+ Months (24+ Weeks)
DP & Graphs Submodule: First Week of April 2023
Course Duration: 2 Months (8+ Weeks)
Why wait, join quickly and reserve your seat. Limited seats are available.

Course Features
500+ Problems Solved
We will be solving problems from various portals like Leetcode, GeeksForGeeks, CodeStudio (Leetcode Locked).
Lifetime Recordings
Get Recorded Sessions after the live classes for unlimited duration, which can be watched anytime, anywhere and on any device.
Affordable Plans
You can enroll on monthly basis for learning in a self-paced fashion. Tackle college exams and work pressure with such flexibility.
200+ Hours Content
We will be having 15+ lectures of 2-3 hours duration each month making it the most extensive and complete course ever.
Hinglish Medium
Course will be taught in a mixture of Hindi + English language (majorly in Hindi). Pre-recorded lectures in complete English will also be shared.
No Pre-requisites
There is no pre-requisite knowledge required in coding. Course will be majorly focused on Java (and doubts of C/C++ will be entertained).
1:1 Mentoring
Get Personalized Doubt Resolution Assistance, Resume and LinkedIn Profile Building and Interview tips & tricks
Suitable Live Timings
Live classes will be scheduled on Weekdays (alternate) 10 PM to 12 AM and Weekends (Saturday OR Sunday) 10 AM to 1 PM
Get Lecture Notes
All lecture notes (containing dry runs, pseudo codes, various approaches), solution codes, problems sheet and other article resources will be provided
Course Curriculum
To get a detailed Syllabus in PDF, click the link below!
Programming Basics
Arrays & Strings
Number Theory & Mathematics
Recursion & Backtracking
Time & Space Complexity Analysis
Sorting Algorithms
Searching Algorithms
Object Oriented Programming
Linked List
Stack, Queue & Deque
Priority Queue or Heap and Greedy Algorithms
Hashing Algorithm
Two Pointer & Sliding Window
Binary Tree & Binary Search Trees
Trie or Prefix Tree
Graph Algorithms
Bit Manipulation
Dynamic Programming