1. The Coding Interview Bootcamp: Algorithms + Data Structures
Ace your next Javascript coding interview by mastering data structures and algorithms.
Course rating: 4.7 out of 5.0 ( 8,022 Ratings total)
If you’re nervous about your first coding interview or anxious about applying to your next job, this is the course for you. I got tired of interviewers asking tricky questions that can only be answered if you’ve seen the problem before, so I made this course! This video course will teach you the most common interview questions that you’ll see in a coding interview, giving you the tools you need to ace your next whiteboard interview.
Coding interviews are notoriously intimidating, but there is one method to become a better interviewer- and that is practice! Practicing dozens of interview questions is what makes the difference between a job offer for a $120k USD and another rejection email. This course is going to not only give you dozens of questions to practice on, but it will also make sure you understand the tricks behind solving each question, so you’ll be able to perform in a real interview.
In this course, you will learn:
- Clear, well-diagramed explanations for every single problem to make sure you understand the solution
- An overview of the most important data structures to know about. These are presented for people without a CS degree.
- A huge collection of common algorithm questions, including everything from ‘reversing a string’ to ‘determine the width of a BST’
- Sensible strategies for tackling systems design problems
- Insider tips on answering what interviewers are really looking for
2. Python for Data Structures, Algorithms, and Interviews!
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!
3. Data Structures and Algorithms Specialization -Free Course
Master Algorithmic Programming Techniques. Learn algorithms through programming and advance your software engineering or data science career.
Course rating: 4.6 out of 5.0 ( 10,181 Ratings total)
This specialization is a mix of theory and practice: you will learn algorithmic techniques for solving various computational problems and will implement about 100 algorithmic coding problems in a programming language of your choice.
The course covers basic algorithmic techniques and ideas for computational problems arising frequently in practical applications: sorting and searching, divide and conquer, greedy algorithms, dynamic programming. We will learn a lot of theory: how to sort data and how it helps for searching; how to break a large problem into pieces and solve them recursively, when it makes sense to proceed greedily, how dynamic programming is used in genomic studies. You will practice solving computational problems, designing new algorithms, and implementing solutions efficiently.
This course covers the common data structures that are used in various computational problems. You will learn how these data structures are implemented in different programming languages and will practice implementing them in our programming assignments. This will help you to understand what is going on inside a particular built-in implementation of a data structure and what to expect from it. You will also learn typical use cases for these data structures.
During this course, you will learn what a graph is and what are some of the most important properties. You will learn several ways to traverse graphs and how you can do useful things while traversing the graph in some order.
No other online course in Algorithms even comes close to offering you a wealth of programming challenges that you may face at your next job interview.
4. Data Structures & Algorithms !
Learn Data Structure & Algorithm from scratch (supported by Java Codes)
Course rating: 4.8 out of 5.0 ( 29,008 Ratings total)
In this course, you will :
- You will get complete knowledge of Data Structures and Algorithms.
- Be able to find the time complexity of any given algorithm.
- Will be able to answer the “WHY” part behind the use of every data structure.
- Get to know Real-time uses of all Data Structures.
This course is for all those people who want to learn data structure and Algorithm from absolute basic to Intermediate level. you don’t need to have any prior knowledge on Data Structure or Algorithm, but a basic prior knowledge of Java will be helpful.
5. The 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.
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.
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.
6. Algorithms and Data Structures in Python
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.
7. Data Structures and Algorithms: Deep Dive Using Java
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.
8. JavaScript Algorithms and Data Structures Masterclass
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.
9. Mastering Data Structures & Algorithms using C and C++
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
10. Practical Data Structures & Algorithms in Java + HW
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.
11. Data Structures in JavaScript: An Interview Refresher
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!
12. Learning Data Structures in JavaScript from Scratch
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.
13. Dynamic Programming Patterns for Coding Interviews
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.
14. Introduction to Data Structures & Algorithms in Java
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.
15. Data Structures in JavaScript
Become a Data specialist with our data structures tutorial which helps in teaching you how to use the JavaScript data structures in an efficient manner.
Course rating: 4.1 out of 5.0 ( 448 Ratings total)
In this course, you will learn about data structures from the very start including what they are, what are their properties, the different types of data structures in JavaScript, as well as how to start working with these to build your own data structure from scratch.
At the end of this course, you will not only be familiar with the Data Structures but you will actually learn how to store your data in a more efficient manner, as well as how to improve on writing your own JavaScript codes.
You will learn:
- Introduction to data structures in JavaScript
- Going over Programming Practices
- Important data structures that are commonly used in computer science
- Go over structures such as Arrays, Stacks, Linked Lists, Queues, Hash Tables and Trees Graphs
- Detailed introduction to sorting and searching algorithms
- Different benefits of data structures
16. Algorithms and Data Structures in Java — Part I
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.
17. Learning Data Structures in JavaScript from Scratch
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.
18. The Coding Interview: Patterns for Coding Questions
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.
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.
19. Data Structures and Algorithms — The Complete Masterclass
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 :
- Understand the coding principles and Understand How to write code inefficient way by the help of choosing the right data structures and efficient algorithms.
- How to choose the right data structures for your need.
- Understand the concept behind Arrays, Linked Lists, Hash tables, Trees, Graph, Stacks, Queues, Sort algorithms, and Search algorithms.
- Understand the fundamentals of Data structures and Algorithms.
- Understand popular algorithms, and how to use it when you need it.
- Learn everything you need to crack difficult coding interviews.
- Reason for applicability and usability of Data Structures.
Top 20 Data Structure And Algorithms Tutorials Online
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