Programming

Personal and Skill Development

Develop your coding skills, learn a new language or prepare for campus placements and job interviews, you can do it all with these awesome courses.

Data science is an exciting discipline that allows you to turn raw data into understanding, insight, and knowledge. The goal of this course is to help you learn the most important tool in R that will allow you to do data science. After completing this you will have the tool to tackle a wide variety of data science problems using the best parts of R.

R Programming: Introductory Course in Data Science (Hindi)

This collection begins with the explanation of Euclid's Algorithm. Thereby the next lesson talks about Number Theory and discusses prime numbers. Also the need and implementation of a powerful algorithm, the Modular Exponentiation are also being discussed. In the next lesson, problems are discussed that requires one to compute a huge value. For reference please follow this link:  https://www.hackerearth.com/notes/number-theory-1 

Diving Into Number Theory

In this course, the educator discusses all the aspects of competitive programming and shall cover the various functions and libraries of STL in C++.

Introduction to Competitive Programming with STL

This is a course which will provide you a prominent grip on Binary Search Technique, which is considered to be one of the most popular searching techniques. As Binary Search is the basis of Binary Search Tree, it becomes necessity have a clear and firm understanding of Binary Search Concepts. This course will help you develop a good understanding of Binary Search and its modifications, which will be helpful in solving Competitive Programming questions as well as in various Data Structure implementations.

Binary Search: The Smarter Way

The course is about Stacks and Queues. Stacks and Queues are widely used in competitive programming and are of significant importance in solving many real life problems like expression conversion. Recursion in any programming language is internally implemented by using stacks only. Similarly Queues have their own importance like solving of first come first serve scheduling algorithms.

Data Structures and Algorithms - Stacks and Queues

This course is about array and matrix and covers various operations carried on them like access, insertion, deletion etc. Also each lesson has corresponding time complexity analysis for the algorithm. This course will help the learners in building their concepts on 1 dimensional and 2 dimensional arrays.

Data Structures and Algorithms: Array and Matrix

practical understanding of OOP'S concepts and implementation of OOP'S concepts using Python. understanding of file handling and exception handling.

OOP's and More Using PYTHON

This course deals with the Abstract Data Type Queue and its implementation. In these series of lessons, we will try to do an in-depth analysis of queue and its implementations. The course also deals with solving competitive programming questions based on queue along with some typical questions asked in an interview.

Introduction To Queues

The collection provides a basic introduction to Stacks and Queues. The first lesson talks about the Stack data structure and why and how it is used. Thereby Queue data structure and its domain of application are discussed. The last two lessons help in solving an elementary problem using the Stack Data Structure and Queue Data Structure. Also, follow the links provided in the lessons for better understanding. 

Studying The Basic Data Structures - Stacks & Queues

The collection begins with an indispensable searching algorithm, Binary Search and tries to get a basic understanding of where it can be used. The next two lessons solve problems for the important application of Binary Search in Competitive Programming. In these two lessons, one can Binary Search for the answer in a range of values and learn how to exploit the behavior of a variable.

Discovering Faster Methods To Search For The Answer

In this course, the educator is discussing array in c programming for Programming aspirants

(Hindi) Array in C Programming Language

This course covers various searching and sorting mechanisms in arrays in C++.

Programming Fundamentals - Searching and Sorting Methods in Arrays

The course is about linked list data structure. The prerequisites for the course are: Pointers; Dynamic Memory Allocation. 
The course first gives an introduction to linked list then discusses about operation that can be performed on linked list.

Data Structure and Algorithms - Linked List

The course explains basic sorting algorithms like Bubble Sort, Insertion Sort, Selection Sort and Merge Sort - how they work, how to build algorithms using them to use in different platforms and also choosing best algorithms based on their time and space complexities.

(Hindi) Sorting Algorithms for Beginners

In this lesson, Kusumanchi has discussed Algorithm. He has covered sorting of a list in ascending order, key points for sorting, advantages, and disadvantages.

Shell Sorting Algorithm - Data Structures

Data science is an exciting discipline that allows you to turn raw data into understanding, insight, and knowledge. The goal of this course is to help you learn the most important tool in R that will allow you to do data science. After completing this you will have the tool to tackle a wide variety of data science problems using the best parts of R. Tags: Programming Language, R Progamming, Data Science, Data Science for Beginners, Analytics, Analytics using R

R Programming: Introductory Course in Data Science

English

All questions

Number Theory

Sorting

Searching

Arrays & Strings

Stacks & Queues

Basics

Competitive Programming

A computer science graduate with keen interest in machine learning, artificial intelligence and other technologies and in history.

Akash Gupta

hlo guys!! myself arpitakaushal I live in ayoudhya .

Arpita Kaushal

A passionate teacher, a tech-geek, a versatile web developer, an aviation enthusiast and also a B.Tech Computer Science student.

Samyak Jain

Quant Researcher at Algorithm Trading/Computer Science NSIT/Competitive Coding

Shaksham Garg

This series aims to take your programming to the next level. The series focuses on aspiring programmers who aim to be better at coding.

Hackerearth Inc.

Student studying in VIT university, Pursuing undergrad in IT(information tech),
loves to code and teach.

Kusumanchi Vineeth

Computer Science engineering VIIth semester
java certified from Oracle with 95%
for updates - follow on Instagram unacade_my


Niharika Kushwah

I am a person who is better at statistics than any software engineer and better at software engineering than any statistician.

Rohit Kumar Singh

 A student at NIT Durgapur pursuing B.Tech currently in my final year. Interested in Data Structures, Algorithms and Web Development.


Sarfraz Baig

Shrey Sharma

CSE Engineer. Tech. Enthusiast. Hard Worker and Problem Solver.

SELF STUDY

Basics

Arrays & Strings

Sorting

Searching

Stacks & Queues

Number Theory

Arrays & Strings

Data Structures and Algorithms: Array and Matrix

4.4

Programming Fundamentals - Searching and Sorting Methods in Arrays

3.5

Introduction to Competitive Programming with STL

4.5

(Hindi) Array in C Programming Language

5

Sorting

R Programming: Introductory Course in Data Science (Hindi)

4.8

R Programming: Introductory Course in Data Science

4.6

(Hindi) Sorting Algorithms for Beginners

4.5

Shell Sorting Algorithm - Data Structures

4

Searching

Discovering Faster Methods To Search For The Answer

5

Binary Search: The Smarter Way

4.3

OOP's and More Using PYTHON

4.9

Stacks & Queues

Introduction To Queues

5

Data Structure and Algorithms - Linked List

5

Studying The Basic Data Structures - Stacks & Queues

4.7

Data Structures and Algorithms - Stacks and Queues

4.7

Number Theory

Diving Into Number Theory

4.6