Data Structures and Algorithms

Standout in your algorithmic programming skills. Learn data structures and algorithms through programming.

Data Structures and Algorithms Preparatory Course

Data Structures and Algorithms are among the essential topics for any programmer, for getting a job or doing well in a job. Our Data Structures and Algorithms course is tailored in such a way that they are easy to learn and master. Buy this course today to advance your software engineering career.
Not only the skills in data structures and algorithms will help you land a high-paying job, but also it will help you to sustain and do well in your job.
Our Data Structures and Algorithms Preparatory Course includes concept videos for each topic along with solution videos for the complex programs. With these, you can learn algorithmic techniques for solving a variety of computational problems. Thus, you will get a treasury of knowledge to solve the programming challenges that you may encounter at your next job interview. The primary objective of PlacementSeason’s “Data Structures and Algorithms Preparatory Course” is to help you get ahead in Top IT companies’ interviews. With rigorous practice and re-practice of problems based on data structures and algorithms, our preparatory course will ensure you will perform well in the upcoming placement season.

Video learningNew

Concept videos for each topic and solution videos for complex programs.

Immense Practice

700+ MCQ & CODING questions available in both Practice and Assessment mode.

Certification & Analysis

Valid certification on successful completion of the course.

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1.Introduction	2.Algorithm	3.Sorting Algorithm
An Overview	Greedy Algorithm	Bubble Sort
Environment Setup	Divide & Conquer Algorithm	Selection Sort
Fundamental elements & Prerequisites	Dynamic Programming	Insertion Sort
Asymptotic Notations	-	Merge Sort
-	-	Quick Sort
-	-	Shell Sort
-	-	Heap sort
Linear Search	1D & 2D Arrays	Linked List
Binary Search	Mapping 2D to 1D Array	Singly Linked List
Hash Tables	-	Doubly Linked List
-	-	Circular Linked List
Stacks	Queues	Graphs
Array Implementation	Array Implementation	Implementation
Linked List Implementation	Linked List Implementation	Traversal
Expression Evaluation & Conversion	Priorirty Queue	Spanning Tree
-	Circular Queue	-
-	Double Ended Queue	-
Trees	Heaps
Binary Tree	Types of Heap
Binary Search Tree	-
AVL Tree	-
Red-Black Tree	-
Spaly Tree	-

1.Introduction

2.Algorithm

3.Sorting Algorithm

An Overview

Greedy Algorithm

Bubble Sort

Environment Setup

Divide & Conquer Algorithm

Selection Sort

Fundamental elements & Prerequisites

Dynamic Programming

Insertion Sort

Asymptotic Notations

Merge Sort

Quick Sort

Shell Sort

Heap sort

4.Searching Algorithm

5.Array DS

6.Linked List DS

Linear Search

1D & 2D Arrays

Linked List

Binary Search

Mapping 2D to 1D Array

Singly Linked List

Hash Tables

Doubly Linked List

Circular Linked List

7.Stack DS

8.Queue DS

9.Graph DS

Stacks

Queues

Graphs

Array Implementation

Implementation

Linked List Implementation

Traversal

Expression Evaluation & Conversion

Priorirty Queue

Spanning Tree

Circular Queue

Double Ended Queue

10.Tree DS

11.Heap DS

Trees

Heaps

Binary Tree

Types of Heap

Binary Search Tree

AVL Tree

Red-Black Tree

Spaly Tree

Data Structures and Algorithms