Top Data Structures And Algorithms Tutorials —Learn Data Structures And Algorithms - [Updated 2021]
By: Quick Code
Tags: Algorithms, Dynamic Programming, Data Structures, Computer Science, System Design Interview

Course rating: 3,737 Recommendations

System design questions have become a standard part of the software engineering interview process. Performance in these interviews reflects

upon your ability to work with complex systems and translates into the position and salary the interviewing company offers you. Most

engineers struggle with the system design interview (SDI), partly because of their lack of experience in developing large-scale systems and

partly because of the unstructured nature of SDIs.

Even engineers who’ve some experience building such systems aren’t comfortable with these interviews, mainly due to the open-ended nature of design problems that don’t have a standard answer. This course is a complete

guide to master the SDIs. It is created by hiring managers who’ve been working at Google, Facebook, Microsoft, and Amazon. We’ve carefully

chosen a set of questions that have not only been repeatedly asked at top companies, but also provide a thorough experience to handle any

system design problem.

Synthesize your knowledge of algorithms and biology to build your own software for solving a biological challenge.

In this course, you will learn:

Graph algorithms

Algorithms for genome assembly

Algorithm optimization

You will learn to design your own optimized software program for genome sequencing.

This big data challenge will cover the entire MicroMasters program. After a brief introduction to the steps required to build a genome assembler, you will take steps on your own to start working with real data taken from a sequencing machine and see if you can design genome assembly software that can compete with popular software used in hundreds of sequencing labs around the world every day.

Get hands-on practice with over 100 data structures and algorithm exercises and technical mentor support when needed to help prepare you for interviews and on-the-job scenarios.

In this course, you will learn:

an overview of your program.

how to refresh your Python skills.

the framework to deconstruct any open-ended problem.

the concepts of time and space complexity.

different data structures that can be used to store data.

how to implement different methods used to manipulate these data structures and examine the efficiency.

the advantages and applications of different data structures.

how to approach open ended problems (either in interview or real-world) and select appropriate data structures based on requirements.

how to implement basic algorithms such as searching and sorting on different data structures and examine the efficiency of these algorithms.

how to use recursion to implement these algorithms.

how some of these algorithms can be implemented without recursion.

practice selecting and modifying these algorithms for a variety of interview problems.

You will learn data structures and algorithms by solving 80+ practice problems.

Build on your algorithm skills by learning more advanced algorithms such as brute-force greedy algorithms, graph algorithms, and dynamic programming which optimizes recursion by storing results to sub problems.

You will begin each course by learning to solve defined problems related to a particular data structure and algorithm.

By the end of each course, you would be able to evaluate and assess different data structures and algorithms for any open-ended problem and implement a solution based on your design choices.

A guide to implementing the most up to date algorithms from scratch: arrays, linked lists, graph algorithms, and sorting.

Course rating: 4.3 out of 5.0 ( 1,730 Ratings total)

This course is about data structures and algorithms. We are going to implement the problems in Python, but I try to do it as generic as possible: so the core of the algorithms can be used in C++ or Java. I highly recommend typing out these data structures and algorithms several times on your own in order to get a good grasp of it.

In the first part of the course, we are going to learn about basic data structures such as linked lists, stacks, queues, binary search trees, heaps and some advanced ones such as AVL trees and red-black trees. The second part will be about graph algorithms such as spanning trees, shortest path algorithms, and graph traversing. We will try to optimize each data structure as much as possible.

In each chapter I am going to talk about the theoretical background of each algorithm or data structure, then we are going to write the code step by step in Python.

Most of the advanced algorithms rely heavily on these topics so it is definitely worth understanding the basics. These principles can be used in several fields: in investment banking, artificial intelligence or electronic trading algorithms on the stock market. Research institutes use Python as a programming language in the main: there are a lot of libraries available for the public from machine learning to complex networks.

Learn about Arrays, Linked Lists, Trees, Hashtables, Stacks, Queues, Heaps, Sort algorithms and Search algorithms.

Course rating: 4.4 out of 5.0 ( 4,304 Ratings total)

This course goes over the theory of how things work, but only to give you what you need to know to understand the implementation covered. Complete source code is included and available for you to download.

Topics covered:-

Arrays Linked Lists Trees Hashtables Stacks Queues Heaps Sort algorithms Search algorithms

The course also spends more time than most other courses of its kind looking at what’s available in the JDK. Students wanting to understand how things work “under the hood” will benefit enormously from this course.

This course goes over the theory of how things work, but only to give you what you need to know to understand the implementation covered. The main focus of the course is to give you a real understanding of how things work under the hood so that you can apply this to future programming projects.

If you want to actually understand how things work, and be able to take that understanding and apply it to your own programs, then this course is for you.

The Missing Computer Science and Coding Interview Bootcamp

Course rating: 4.7 out of 5.0 ( 5,436 Ratings total)

In this course, you will :

Learn everything you need to ace difficult coding interviews.

Master dozens of popular algorithms, including 6 sorting algorithms!.

Implement 10+ data structures from scratch.

Improve your problem-solving skills and become a stronger developer.

The content starts with the basics and then eventually cover “advanced topics” that similar courses shy away from like Heaps, Graphs, and Dijkstra’s Shortest Path Algorithm.

This course teaches you how to analyze your code’s time and space complexity using Big O notation and also cover the ins and outs of Recursion. you will learn a 5-step approach to solving any difficult coding problem and common programming patterns.

During the course, you will implement popular searching algorithms and write 6 different sorting algorithms: Bubble, Selection, Insertion, Quick, Merge, and Radix Sort. Then, you will learn to implement own data structures from scratch, including linked lists, trees, heaps, hash tables, and graphs.

In the final section, you will learn to traverse trees and graphs and cover Dijkstra’s Shortest Path Algorithm. The course also includes an entire section devoted to Dynamic Programming.

Best Data Structures and Algorithms Courses For Beginners

Learn, Analyse and Implement Data Structure using C and C++. Learn Recursion and Sorting.

Course rating: 4.6 out of 5.0 ( 3,497 Ratings total)

In this course, you will :

Learn various Popular Data Structures and their Algorithms..

Develop your Analytical skills on Data Structure and use then efficiently..

Learn Recursive Algorithms on Data Structures.

Learn about various Sorting Algorithms.

Implementation of Data Structures using C and C++.

You may be new to Data Structure or you have already Studied and Implemented Data Structures but still, you feel you need to learn more about Data Structure in detail so that it helps you solve challenging problems and used Data Structure efficiently.

The topics covered during this course are:

1. Recursion

2. Arrays Representation

3. Array ADT

4. Linked List

5. Stack

6. Queues

7. Trees

8. Binary Search Tree

9. AVL Trees

10. Graphs

11. Hashing Technique

Keep it Practical! Learn in-depth the most popular Data structures & Searching Algorithms.

Course rating: 4.5 out of 5.0 ( 1,186 Ratings total)

If I had to pick the single most important topic in software development, it would be data structures and algorithms. Think of it as the fundamental tools available to every computer programmer. The better you get with these tools the more confident a programmer you’ll become. Software development is a vast field requiring all kinds of skill-sets but getting good at this single topic is a huge leap forward in your programming journey and it’ll certainly pave the way for a successful programming career.

The topics in this course are going to cover data structures such as lists, stacks, queues, trees and some of the most powerful sorting, searching, and graph algorithms that have revolutionized the field of computing. Throughout the course, I keep things practical and provide real-life examples of how all of these algorithms work and when & where they can be applied to write efficient computer programs.

Course rating: 76 Recommendations

Data structures are among the very fundamentals of Computer Science and are often a core decision in developing efficient programs. Consequently, they are also largely categorized as a vital benchmark of computer science knowledge when it comes to industry interviews. This course contains a detailed review of all the common data structures and provides implementation level details in JavaScript to allow readers to become well equipped with all the different data structures they can leverage to write better code!

Write more efficient & performant code by learning data structures. Be well prepared for technical interview questions.

Course rating: 4.6 out of 5.0 ( 1,669 Ratings total)

This course teaches data structures (linked lists, binary search trees, hash tables) from the ground up. Data structures allow you to improve the efficiency, performance, speed, and scalability of your code/programs/applications. You will learn what data structures are, why they are important, and how to code them out in JavaScript. You will also learn other important programming concepts along the way such as recursion, time complexity, the “this” keyword, the prototype object, and constructor functions since data structures use these concepts by their very nature. This course heavily uses diagrams and animations to help make understanding the material easier.

This course is also very good for anyone who is interviewing for developer/engineering jobs at both large and small companies. Interviewers will very often ask candidates to write data structures out in code, and this course will prepare you very well to do that. If you have recently graduated from a coding Bootcamp or are currently looking for a job, you will find this course to be beneficial. Knowing data structures will help you to excel in technical interviews.

Learn Data Structures and Algorithm Concepts

Course rating: 484 Recommendations

Dynamic Programming (DP) problems can be some of the most intimidating on a coding interview. Even when it’s actually clear if a problem can be solved using DP (which it rarely is), it can be pretty challenging to even know where to start on the solution. Unless that is, you’re trained on the approach to solving DP problems.

This course was made from scratch with just that goal in mind. It will equip you with a set of easy-to-understand techniques to handle any DP problem. Rather than just having you try to memorize solutions, you will be walked through five underlying DP patterns that can then be applied to solve 35+ DP problems.

In each pattern, we will start with a recursive brute-force solution — this is actually the best way to start solving a DP problem! Once we have a recursive solution, you will then apply the advanced DP methods of Memoization and Tabulation. The practice problems in this course were carefully chosen, covering the most frequently asked DP questions in coding interviews.

Designed to help understand the fundamentals of DS & Algorithms really well. A must-have for programming interviews.

Course rating: 4.4 out of 5.0 ( 2,392 Ratings total)

This course introduces some basic data structures (arrays, linked lists, stacks, queues, trees and heaps) and algorithms (various sorting algorithms, and algorithms for operations on binary search trees and heaps). We will also cover recursion in this course. The use of graphics and animations makes the lectures very easy to understand and digest. After taking this course, you will lose your fear of data structures and algorithms.

Get a kick start on your career and ace your coding interviews.

Course rating: 4.4 out of 5.0 ( 5,971 Ratings total)

This is the most comprehensive course online to help you ace your coding interviews and learn about Data Structures and Algorithms! This course takes advantage of the easy to read Python programming language to efficiently teach you what you need to know to land the tech job of your dreams!

This course will teach you everything you need to know to get a great job in the software technology field, including:

Creating a great resume

Creating LinkedIn and GitHub profiles for recruiters to find

Building and leveraging a network for job opportunities

The latest job searching tools available online

Non-Technical Interview Questions and Answers

Post-Interview topics (Salary Negotiation and References Preparation)

Jupyter Notebooks Overview

Algorithm Analysis and Big-O Notation

Array Sequences

Stacks Queues and Deques

Linked Lists

Recursion

Trees

Searching and Sorting Algorithms

Graph Algorithms

Riddles and Brainteasers

4 Mock Interviews!

understand data structure and algorithms basics and advanced concepts

AVL tree, red-black tree, B-tree, binary search tree, array, linked list, stack, queue, and splay tree.

Course rating: 4.5 out of 5.0 ( 1,186 Ratings total)

This course is about data structures and algorithms. We are going to implement the problems in Java, but I try to do it as generic as possible: so the core of the algorithms can be used in C++ or Python. The course takes approximately 11 hours to complete. I highly recommend typing out these data structures several times on your own in order to get a good grasp of it.

In the first part of the course, we are going to learn about basic data structures such as linked lists, stacks and queues, heaps and some advanced ones such as AVL trees, red-black trees or hash tables. We will try to optimize each data structure ( for example avoiding obsolete references ) as much as possible.

In each chapter I am going to talk about the theoretical background of each algorithm or data structure, then we are going to write the code on a step by step basis in Eclipse, Java.

Most of the advanced algorithms rely heavily on these topics so it is definitely worth understanding the basics. These principles can be used in several fields: in investment banking, artificial intelligence or electronic trading algorithms on the stock market.

This course has been designed in such a way to help breakdown data structures and is loaded with examples and diagrams and animations to give you a more visual aspect of understanding data structures.

Course rating: 4.6 out of 5.0 ( 459 Ratings total)

you will learn:

What are data structures and their importance in coding and programming

How to code them in JavaScript

Important programming concepts such as recursion, time complexity, the ‘this’ keyword, the prototype object, and constructor functions

How to actually write efficient data structures for your programs

At the end of this course, you will have mastered one of the most important components of programming and development, the data structures.

Course rating: 878 Recommendations

Coding interviews are getting harder every day. A few years back, brushing up on key data structures and going through 50–75 practice

questions were more than enough prep for an interview. Today, everyone has access to massive sets of coding problems, and they’ve gotten

more difficult to account for that. The process has gotten more competitive. When our team sat together to brainstorm on ideas to make the

interview process easier for candidates, we realized quickly that one skill helped us the most when we were preparing for coding interviews:

“The ability to map a new problem to an already known problem.” To help candidates with that, we’ve come up with a list of 15 patterns for

coding questions, based on similarities in the techniques needed to solve them. As a result, once you’re familiar with a pattern, you’ll be able

to solve dozens of problems with it. The techniques taught in this course have helped developers land jobs in top companies including

Google, Facebook, Amazon, and Microsoft.

Crack the coding interview by getting mastery in data structures & algorithms & Become a data structures & algorithms Ace

Course rating: 4.7 out of 5.0 ( 779 Ratings total)

In this course, you will :