×
Create CV Books Summaries Online Courses Blog Communities

Login

Sign up
MindLuster Logo
Categories
Recent

Join Our Telegram Channel Now to Get Any New Free Courses : Click Here

Time Complexity and Big O Notation Data Structures and Algorithms

Share your inquiries now with community members Click Here
Previous Lesson Next Lesson
Sign Up and Get Free Certificate
Sign up Now

Lessons List | 17 Lesson

Comments

Our New Certified Courses Will Reach You in Our Telegram Channel
Join Our Telegram Channels to Get Best Free Courses

Join Now

We Appreciate Your Feedback

Excellent
3 Reviews
Good
0 Reviews
medium
1 Reviews
Acceptable
0 Reviews
Not Good
1 Reviews
4.5
213 Reviews
D.Sai Kalpana

Providimg good guidance for the people.I am very happy for this site 2024-08-29

Andipuram Laya

excellent 2024-07-23

Godservant Emmanuel Enojo

Thank you Caleb Curry! 2024-05-08

Harsha

Nice Course 2024-04-30

Nisha yadav

This cousre are amazing 2024-04-01

Abinash Kunwar

very good and efficient 2024-03-26

Eirigala Mallikarjuna Rowdy

It's good 2024-03-09

Aishwarya AM

Awsome teaching and i learned clearly about data structures and aglorithms thank you@Mindlusster. 2024-03-02

Hari Prasath G

Good course 2024-02-24

Manikanta Kondakayala

Intresting. 2024-01-29

Satyavathi

I have learned basics of data structures and algorithms. Thank you Mind Luster team. 2024-01-26

Rahul Khan

Very cool and impressive 2024-01-17

Show More Reviews


Related Courses in Computer Science
Linear Algebra for Computer Scientists
7 Lessons

Linear Algebra for Computer Scientists

Insertion Sort
3 Lessons

Insertion Sort

Bubble Sort
4 Lessons

Bubble Sort

GCSE Computer Science
18 Lessons

GCSE Computer Science

Random Access Memory
7 Lessons

Random Access Memory

Binary Trees
4 Lessons

Binary Trees

Bitwise Operators
4 Lessons

Bitwise Operators

Introduction to Stacks Data Structures
17 Lessons

Introduction to Stacks Data Structures

Organization Theory Structure and Design
41 Lessons

Organization Theory Structure and Design

Handling Large Scale Unit Level Data
41 Lessons

Handling Large Scale Unit Level Data

Introduction to Machine Learning
19 Lessons

Introduction to Machine Learning

Applied Linear Algebra Vectors Matrices
54 Lessons

Applied Linear Algebra Vectors Matrices

Artificial Intelligence beginners
1 Lessons

Artificial Intelligence beginners

Machine Learning Autumn 2018
1 Lessons

Machine Learning Autumn 2018

Robotics and Autonomous Systems
15 Lessons

Robotics and Autonomous Systems

Natural Language Understanding
15 Lessons

Natural Language Understanding

Course Description

What is the difference between data structure and algorithm? Data Structure is about organising and managing data effectively such that we can perform specific operation efficiently, while Algorithm is a step-by-step procedure to be followed to reach the desired output. ... Steps in an algorithm can use one or many data structure(s) to solve a problem.What is algorithm used for in data structure? Algorithm is a step-by-step procedure, which defines a set of instructions to be executed in a certain order to get the desired output. Algorithms are generally created independent of underlying languages, i.e. an algorithm can be implemented in more than one programming language.What are the different types of data structures? When we think of data structures, there are generally four forms: Linear: arrays, lists. Tree: binary, heaps, space partitioning etc. Hash: distributed hash table, hash tree etc. Graphs: decision, directed, acyclic etc.How do you use data structures and algorithms? 7 steps to improve your data structure and algorithm skills Step 1: Understand Depth vs. Breadth. ... Step 2: Start the Depth-First Approach—make a list of core questions. Identify a list of ~100 core problems. ... Step 3: Master each data structure. ... Step 4: Spaced Repetition. ... Step 5: Isolate techniques that are reused. ... Step 6: Now, it's time for Breadth. ... Step 7: Practice on paper.What are the 2 main types of data structures? There are two fundamental kinds of data structures: array of contiguous memory locations and linked structures.What are the 5 properties of an algorithm? An algorithm must have five properties: Input specified. Output specified. Definiteness. Effectiveness. Finiteness.
Trends
Recent
Previous Lesson Next Lesson