MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 90.78 MB | Duration: 0h 37m
Learn DSA from to basic to expert.
What you'll learn
Introduction to data structures
Algorithms
Arrays
Linked lists
Stack
Queues
Trees
Graphs
Searching
Sorting
Requirements
Basic knowledge of any programming language like C, C++, Java, Python
Description
DSA: Data structure and algorithms are very important parts of the software and web development careers. One must have thorough knowledge of DSA to stand out in an IT career. No matter which platform you work on or which language you prefer to code, DSA is a must-have knowledge to grow in the software field.This is the perfect course for people who want to learn DSA right from the beginning and become masters at the end of the course.This course is deigned for beginners and intermediates, this course will be perfect choice for the people who are new to data structures, here all topics are explained in detail from the scratch with suitable examples along with the possible programming code. To make it ease to learn for you, topics are explained using real world examples.Course overview.☞ Arrays☞ Linked List☞ Stacks☞ Pointers☞ Queues☞ Tree☞ Binary Tree☞ Binary Search Tree☞ AVL Tree☞ Graph☞ Set☞ Hash Table☞ Algorithms☞ Brute Force☞ Greedy☞ Recursive☞ Backtracking☞ Divide & Conquer☞ Dynamic Programming☞ Randomized☞ Bubble Sort☞ Quick Sort☞ Selection Sort☞ Insertion Sort☞ Heap Sort☞ Merge Sort☞ Counting Sort☞ Bucket Sort☞ Comb Sort☞ Hash Functions☞ AES☞ RSA☞ Problems & solutions on numbers, strings, arrays☞ Problems & solutions on stacks, trees, linked lists, queues☞ DSA MCQ
Overview
Section 1: Introduction
Lecture 1 Introduction to data structures
Lecture 2 Types of data structures
Lecture 3 Operation performed on data structures
Lecture 4 Advantages of data structures
Lecture 5 Basic terminology used in data structures
Lecture 6 Why data structures are needed?
Lecture 7 Classification of data structures
Lecture 8 Applications of data structures
Lecture 9 Algorithm definition & characteristics
Lecture 10 Data flow of algorithm
Lecture 11 Need of algorithms
Lecture 12 Real world example of algorithm
For beginners and Intermediates, willing to learn data structure and algorithms from scratch
