Empowering Education, Enriching Minds: Your Path to Seamless Learning With our Transformative Learning Platform! 🚀

150k+

Candidates Trained

4k+

Assessments Conducted

150k+

Question Library

Universities & Colleges

Enrolled

Our Product Features

Coding Test

Code Debug

Submit Test

Evaluation

Fraud Detection

Live Proctoring

Online Webinars

Reports

Test Types
Why Choose Us ?

Our Approach

We take up a holistic approach, working directly with our Industry Professionals to understand the market requirements before building a tailored training strategy. We have Instructors who are active on Competitive Programming platforms, and can guide you through various levels of Problem Solving based on the complexity level of the companies.

Our Mentors

We have our Alumni and Student Mentors with Multiple SDE role offers, to assist the students. We have smaller Mentor-Mentee ratio to facilitate focused doubt clarification sessions. Our Mentors stand out to be different as they don’t tell you what solution is the best rather seek brute force approach and make you come up with multiple and optimized approach, yourself.

Our Counselling

It is critical to choose a career that matches your genuine potential. Our Counsellors are Industry Technical experts who are excellent problem solvers, good listeners and analyzers, and have enough understanding of many fields to help you in your career decisions. They have assisted thousands of students settling with IT Service Company offers, to get trained and prepared for Higher IT Product Companies

Our Results

We stand apart as we focus on what adds value to your profile to get noticed by companies. We make your profile Industry Ready by assisting you in gaining practical learning experiences through Internships, Hackathons, and Projects referred through our Portal. We have a 70% & Above strike rate with an average of 8 LPA package from IT Product Companies.

Our Instructors
Pawan

Top 0.81% in India and 1.1% Globally on LeetCode

5 star code at CodeChef (2000+ rating)

Guardian at LeetCode (2000+ rating)

Engagement Champion at Credit Suisse Global Coding Challenge 2022

Solved over 3500+ problems in DSA

AIR 23 & Global 31 ranking in CodeChef Starters 83 Div 2

Mentored over 1000+ Students

Guardian Badge
Guardian Badge
Top Coders
Regionals
ICPC
Regionals
Anshuman

3+ Years of Experience as DSA Instructor

2+ Years of Experience as Software Engineer

Solved over 2500 Problems on Different Coding Platforms

Global Rank 249 in Google Kickstart Round C 2020

2000+ Rating in Codeforces

2100+ Rating in Codechef

Data Structures & Algorithms Course

Classroom

Live

Online

DSA ADVANCED

• 350+ Practice Problems

• 192 Hrs of Course of Engagement

• Week-End Batches on Sat & Sun - 6 Hrs/ Day

• Weekly Test & Analysis

• Mentor Support & Certification of Completion

• 1 Year of Course Access in LMS

Know More

Resources
Introduction
DSA Roadmap
Dynamic Programming
Data Structures and Algorithm ,
What is Data structure ? It is a structure to store data in certain way.
What are algorithms ? They are techniques used for performing operation in Data structures.

Why you need to learn Data Structure and Algorithms ?
As now a days both Service based Companies and Product based companies ask problems related to DSA in their Online Assesments and interviews . So if you are planning to get a job in Software Engineering and IT field don't skip this !!

Why people choose Product based companies ?
- Because they had best in industry pay.
- They provide great work life balance.
- Growth opportunities in huge .
- You get stocks in your CTC, other perks like paid vacations etc.

Now Data structures and algorithms being the most important part of Online Assesment and Inteviews for Software Engineer roles.
For learning DSA in better way you should follow and learn DSA topics in right order , here is right order of lerarning Data Structures and Algorithms.
1. Learn any programming language and its basics ( loops ,data types,conditonal statements etc).
2. Learn about Time Complexity.
3. Arrays.
4. Strings.
5. Sorting.
6. Searching.
7. Stack.
8. Queues.
9. Linkedlist.
10. Recursion.
11. Trees.
12. Heaps.
13. Graphs.
14. Miscellaneous ( Trie,Bit manipulation etc).

Dynamic programming (DP) is a topic in data structures and algorithms that often intimidates students, but it can be manageable if you understand the right concepts and problem-solving techniques. The key to grasping DP lies in recognizing two fundamental requirements that DP problems typically have:
1. Options
2. Overlapping sub-problems.
This video is from one our online sessions , here
Problem 1 : Subsequence with Given Sum
To check if there is a subsequence with given sum or not , very standard problem , we saw how it is satisfying the condition of DP problems.
Here we saw how multiple sub- problems are overlapping which lead to memorization.
Problem 2 : Longest Increasing Subsequence
we saw how we are considering all the possibilities using recursion and dealing with overlapping subproblems using memorization . - Used array compression to avoid Memory Limit Exceeded.

What Students Say About Us