Data Structures and Algorithms - Levelup

Data Structures and Algorithms - Levelup

Taught By: Rajneesh Kumar

Instructed By: Sumeet Malik


Who Should Do This Course?

Students who are confident with their basics but find it difficult to deal with topics such as recursion, data structures, dynamic programming and graphs. This is best suited for the students who wish to take their coding skills a notch higher.

Why should you do this course?

This course introduces you with the world of competitive programming and takes you to its complete depth. This is where you will code the most intriguing and complex problems in programming. It prepares you for your trademark course - Interview Preparation. This is where you bake the cake.

Select Batch:

Data Structures and Algorithms - Levelup Pitampura Jul 18 2021

Data Structures and Algorithms - Levelup Pitampura Jul 18 2021

Rajneesh Kumar

Sat, Sun 9:00 - 01:00 PM, Thr 6:00-10:00 PM

How will class conducted?

We conduct online live webinars to make sure that we deliver the same class like experience as we do for our offline classes. Students can get that personal touch with the instructors using our software where they can make sure to get their code up and running and also understand every topic personally without disturbing the pace of the class. In the first class of each topic, we discuss the basics of the topics and easy questions at a fast pace. The course in divided in 8 modules: Recursion and backtracking, Dynamic Programming, Stacks and Queues, Linked Lists, Trees, Hashmap and Heaps, Graphs, Time Space Complexity. All these modules are covered in a cyclic manner where student can join from any module and the remaining modules will be covered in the next cycle. Thus, this course does not has any starting or ending point and students can join from any module and improving their coding skills from any topic.

Batch Detail:

July 18

Course Content:

Price Detail
(* Including GST)

 300 advanced questions on DSA + Core Computers
 3 classes per week
 4 months
 50 Lectures (200 hours)
 Expert Doubt Support
 Certificate of Completion


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