Algorithms and data structures are a box of tools. Data structures and algorithms are fundamental concepts in computer science, and they form the backbone of all software development. The Algorithm Design Manual 6. 500 Data Structures and Algorithms practice problems. Full Stack Football Player wanted. There are also courses on Coursera by Stanford University for Data Structures and Algorithms. In this course you will learn about algorithms and data structures, two of the fundamental topics in computer science. How to Study for Data-Structures and Algorithms Interviews at FAANG / by Esco Obong / The Startup / Medium 500 Apologies, but something went wrong on our end. 7 Best Courses to learn Data Structure and Algorithms. Reddit comments on Algorithms, Part I Coursera course. Learn Data Structure and Algorithms 1) Array 2) String 3) Linked List 4) Searching Algorithm 5) Sorting Algorithm 6) Divide and Conquer Algorithm 7) Stack 8) Queue 9) Tree Data Structure 10) Graph Data Structure 11) Greedy Mehtodology 12) Recursion 13) Backtracking Algorithm 14) Dynamic Programming Practice, practice and practice more. Data Structures and Algorithms CS Dojo 13 videos 1,936,013 views Last updated on Oct 28, 2020 Play all Shuffle 1 16:35 Data Structures & Algorithms #1 - What Are Data Structures? CS. Personal suggestion is to read up on Space & Time Complexity before you go on this adventure so you can learn to think on those lines from the very start itself. Data Structures and Algorithms: Deep Dive Using Java This is one of the most comprehensive courses on data structure and algorithms using Java. Additionally, even basic knowledge of other languages helps our understanding of software engineering. Also, one thing with data structures and algos is that in the beginning they seem like useless, archaic concepts or only useful for job interviews. Course #1: Data Structure Concepts in C. Learn Data Structure and Algorithms 1) Array 2) String 3) Linked List 4) Searching Algorithm 5) Sorting Algorithm 6) Divide and Conquer Algorithm 7) Stack 8) Queue 9) Tree Data Structure 10) Graph Data Structure 11) Greedy Mehtodology 12) Recursion 13) Backtracking Algorithm 14) Dynamic Programming Practice, practice and. Data Structures and Algorithms Specialization Master Algorithmic Programming Techniques. or Data Structures, as it gives you a deeper understanding of the inner workings of the algorithms. Section 9 - Cracking Array/List Interview Questions (Amazon, Facebook, Apple and Microsoft) Question 1 - Missing Number. ) Math (Number theory, Computational Geometry, Combinatorics, Linear Algebra etc. A data structure is defined as a particular way of storing and organizing data in our devices to use the data efficiently and effectively. To learn data structure in a very simpler way from basic to advance, One such resource, which I find very relevant, is the Logicmojo course on Advanced Course of Data Structures, Algorithms & Problem Solving”. Grokking Algorithms 5. Data structures and algorithms are fundamental concepts in computer science, and they form the backbone of all software development. Advance your Software Engineering or Data Science Career by Learning Algorithms through Programming and Puzzle Solving. Unofficial: Coursera Algorithms by Robert. This course is designed to master data structures and algorithms to crack coding interviews for top product-based companies. Data Structure - Linked List 链表：介绍链表的基础知识和操作，如链表的创建、插入、删除等。 Data Structure - Stacks & Queues 堆栈和队列：介绍堆栈和队列的基础知识和操作，如堆栈和队列的创建、入栈、出栈、入队、出队等。. Introduction to Algorithms: A Creative Approach 8. Data Structures and Algorithms CS Dojo 13 videos 1,936,013 views Last updated on Oct 28, 2020 Play all Shuffle 1 16:35 Data Structures & Algorithms #1 - What Are Data Structures? CS. How do I learn algorithms and data structures. Check out Algorithms 4th Edition by Robert Sedgewick and Kevin Wayne (link to online version). edX: Introduction to Programming with Java -Part 3: Fundamental Data Structures and Algorithms. Step 1: Learn Data Structures: Arrays, Linked List, Trees, Graph, Sets, HashMaps. If the Data Structures and Algorithm base is strong, then switching companies for better opportunities also becomes easier for you. This course covers the essential information that every serious programmer needs to know about algorithms. This is the s econd part of a two-part series of free online Coursera courses covering data structures and algorithms by Robert Sedgewick and Kevin Wayne, both are professors of Computer Science. Course #3: Algorithms - Part 2. Part I covers elementary data structures, sorting, and searching algorithms. Best Books for Data Structures and Algorithms 1. Geeks for geeks is a website to learn from. Complete Roadmap To Learn DSA From Scratch. Best DSA courses Why learn Data Structures and Algorithms?. We motivate each algorithm that we address by examining its impact on applications to science, engineering, and industry. View community ranking In the Top 5% of largest communities on Reddit. How do I get started with Data Structures and Algorithms?. Data Structures and Algorithms Made Easy (Karumanchi) Python Algorithms: Mastering Basic Algorithms in the Python Language (Hetland) Any tips on what to start first? For instance, do I start with Arrays/Linked Lists etc. Based on the authors’ market leading data structures books in Java and C++, this textbook offers a comprehensive, definitive introduction to data structures in Python by respected authors. Reddit comments on Data Structures and Algorithms Coursera. Step 1: Learn Data Structures: Arrays, Linked List, Trees, Graph, Sets, HashMaps. How do you learn Data Structures and Algorithms! : r. Advance your Software Engineering or Data Science Career by Learning Algorithms through Enroll for free. Data Structures and Algorithms share › ‹ links Below are the top discussions from Reddit that mention this online Coursera specialization from University of California San Diego. Data Structures and Algorithms: Deep Dive Using Java. The Data Structures and Algorithms Nanodegree program will help you excel at solving everything from well-defined problems, like how to calculate the efficiency of a specific algorithm, to more open-ended problems, like building your own private blockchain or writing a web-crawler. I spent about 20-25 hours on it over the course of 4 days. The data structures taught in the course include Stack, Queue, and Linked List using the C programming language. DATA STRUCTURES & ALGORITHMS Now you have understood the syntax of your preferred language and need to hon your problem solving skills. The Complete Data Structures and Algorithms Course in Python. This is another free, online algorithm and data structure training course, which aims to teach basic data structures in computer programming. Data Structure and Algorithm Study Guide>Comprehensive Data Structure and Algorithm Study Guide. Course #1: Data Structure Concepts in C This is another free, online algorithm and data structure training course, which aims to teach basic data structures in computer programming. Section 9 - Cracking Array/List Interview Questions (Amazon, Facebook, Apple and Microsoft) Question 1 - Missing Number. Data structures and algorithms are fundamental concepts in computer science, and they form the backbone of all software development. I think that language for stuff like this is not that important, you are not using any complex libraries just basic control structures and classes which looks like they cover in first few lessons. There are several online platforms such as Logicmojo, Scaler, Educative, Algoexpert and Udemy that offer online courses on data structures and algorithms. Data Structures and Algorithms Specialization Master Algorithmic Programming Techniques. Data Structures and Algorithms Deep Dive Using Java share › ‹ links Below are the top discussions from Reddit that mention this online Udemy course. This course and others like it are available as part of our Frontend Masters video subscription. The main idea behind using data structures is to minimize the time and space complexities. Data Structures and. Youll learn big o time complexity, fundamental data structures like arrays, lists, trees, graphs, and maps, and searching and sorting algorithms. Data Structures and Algorithms Made Easy 3. Stanford: Algorithms: Design and Analysis, Part 1. Published: September 12, 2022 Get Free Access Now Table of Contents Introduction 00:00:00 -. Based on the authors’ market leading data structures books in Java and C++, this textbook offers a comprehensive, definitive introduction to data structures in Python by respected authors. Truth is down the road, when you move from trivial tasks and more advanced topics become concern, algos will come very handy. Learn common algorithms, such as sorting algorithms, search algorithms, and graph algorithms. Course #1: Data Structure Concepts in C. Most data structures and algorithms provide live courseswhere you learn from an expert, you get guidance and clarify your doubts as they arise. Also, one thing with data structures and algos is that in the beginning they seem like useless, archaic concepts or. Reddit comments on Python for Data Structures, Algorithms, and. Data Structures and Algorithms. Python for Data Structures, Algorithms, and Interviews! share › ‹ links Below are the top discussions from Reddit that mention this online Udemy course. Algorithms, Part I Course. Course #1: Data Structure Concepts in C. There also is a two part Coursera course by Sedgewick and Wayne. Learn Data Structures and Algorithms. The data structure is a method of organising data in a computer that may be used effectively most of the time. ) Math (Number theory, Computational Geometry,. How to Study for Data-Structures and Algorithms Interviews at FAANG / by Esco Obong / The Startup / Medium 500 Apologies, but something went wrong on our end. Master Algorithmic Programming Techniques. This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Section 9 - Cracking Array/List Interview Questions (Amazon, Facebook, Apple and Microsoft) Question 1 - Missing Number. A complete guide to study data structure and algorithms for beginners / by Pepcoding / Medium 500 Apologies, but something went wrong on our end. It is basically the standard book on algorihms and data structures. Reddit comments on Python for Data Structures, Algorithms, and Interviews! Udemy course / Reddemy from the Depths of Reddit. This is one of the most comprehensive courses on data structure and algorithms using Java. Question 3 - Finding a number in an Array. Algorithms, 4th Edition by Robert Sedgewick and Kevin Wayne. There also is a two part Coursera course by. Learn Data Structure and Algorithms 1) Array 2) String 3) Linked List 4) Searching Algorithm 5) Sorting Algorithm 6) Divide and Conquer Algorithm 7) Stack 8) Queue 9) Tree Data Structure 10) Graph Data Structure 11) Greedy Mehtodology 12) Recursion 13) Backtracking Algorithm 14) Dynamic Programming Practice, practice and practice more. Data Structures: lists, arrays, linked lists, queues, stacks; Recursion; Algorithms: binary search, sorting algorithms like bubble sort, merge sort, quick sort, etc; Advanced algorithms; And I also wasnt sure how connected the OMSCS program still is to Udacity and what, if any, advantage there might be in having taken something like this from. Must have 5 years of experience in an object-oriented language, deep knowledge of data structures and algorithms, and a sub-6. We implement popular searching algorithms. If its bad enough, it becomes a problem. Data Structures and Algorithms Made Easy 3. Although weve had mathematical algorithms for centuries, algorithms are now the central figures of computer science. Learn Data Structure and Algorithms 1) Array 2) String 3) Linked List 4) Searching Algorithm 5) Sorting Algorithm 6) Divide and Conquer Algorithm 7) Stack. Hello Night Owls, I just got notice that my DSA 2 project passed on the first attempt. Algorithms and Data Structures Tutorial. I have come to a conclusion that I am going to refer to the following books:-. Unofficial textbook: Problem Solving with Algorithms and Data Structures using Python. Learn their characteristics, strengths, and weaknesses, as well as how to implement them in code. First of all, learning DSA isnt tough,its just a matter of how consistent you are. RedditCFB on Twitter: Full Stack Football Player wanted. Best Books for Data Structures and Algorithms 1. Trace through and predict the behavior of algorithms (including code) designed to implement data structure operations. Then, we switch gears and implement our own data structures from scratch, including linked lists, trees, heaps, hash tables, and graphs. If the Data Structures and Algorithm base is strong, then switching companies for better opportunities also becomes easier for you. These are the top 45 Algorithms courses found from analyzing all discussions on Reddit that mention any Coursera course. Instead of paying for one, you have to buy three or more to truly learn C# up to the advanced stuff. Algorithms in a Nutshell 7. An algorithm, on the. This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. How they take input and in what conditions to use them. Coursera has two courses: part 1 and two. Learn about Arrays, Linked Lists, Trees, Hashtables, Stacks, Queues, Heaps, Sort algorithms and Search algorithms View Udemy Info Page. Advance your Software Engineering or Data Science Career by Learning Algorithms through Programming and Puzzle Solving. Algorithms in a Nutshell 7. 8 Answers Sorted by: 24 I think its fine to learn the two side-by-side. Geeks for geeks is a website to learn from. 数据结构和算法 Data Structures and Algorithms. Data Structures and Algorithms Made Easy (Karumanchi) Python Algorithms: Mastering Basic Algorithms in the Python Language (Hetland) Any tips on what to start first? For instance, do I start with Arrays/Linked Lists etc. If you dont pick the wrong tool, you can write bad software. Check out Algorithms 4th Edition by Robert Sedgewick and Kevin Wayne (link to online version). The Complete Data Structures and Algorithms Course …. Data Structures and Algorithms in Python is the first mainstream object-oriented book available for the Python data structures course. How to Study for Data-Structures and Algorithms Interviews at FAANG / by Esco Obong / The Startup / Medium 500 Apologies, but something went wrong on our end. If the Data Structures and Algorithm base is strong, then switching companies for better opportunities also becomes easier for you. I reviewed many books and courses and found that there is no right way to learn DSA, some books prefer to start with one topic over another. Learn a data structure first, then try to solve a few easy problems of it on Leetcode. Data Structure Hash Table Spanning Tree Np-Completeness SHOW ALL About this Specialization 45,708 recent views Algorithms are the heart of computer science, and the subject has countless practical applications as well as intellectual depth. The textbook Algorithms, 4th Edition by Robert Sedgewick and Kevin Wayne [ Amazon · Pearson · InformIT ] surveys the most important algorithms and data structures in use today. Reddit comments on Data Structures and Algorithms Coursera course. Data Structures and Algorithms. Is being very good at data structures and algorithms worth it. Learning algorithms and data structures can be challenging, but it is a worthwhile. This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Algorithms The Major Five topics are:- Ad hoc/ Implementation Problems Programming Paradigm (Greedy, backtracking, branch and bound, DP, Divide and Conquer, Brute force etc. Algorithms and data structures are essential concepts in programming. This list isnt all inclusive, just meant as a starting point. The textbook Algorithms, 4th Edition by Robert Sedgewick and Kevin Wayne [ Amazon · Pearson · InformIT ] surveys the most important algorithms and data structures in use today. Data Structures and Algorithms in Java 9. Python Algorithms: Mastering Basic Algorithms. I am an undergraduate student in CS who is looking to start his DSA journey. Algorithms The Major Five topics are:- Ad hoc/ Implementation Problems Programming Paradigm (Greedy, backtracking, branch and bound, DP, Divide and Conquer, Brute force etc. Must have 5 years of experience in an object-oriented language, deep knowledge of data structures and algorithms, and a sub-6. Learn Data Structure and Algorithms 1) Array 2) String 3) Linked List 4) Searching Algorithm 5) Sorting Algorithm 6) Divide and Conquer Algorithm 7) Stack 8) Queue 9) Tree Data Structure 10) Graph Data Structure 11) Greedy Mehtodology 12) Recursion 13) Backtracking Algorithm 14) Dynamic Programming Practice, practice and practice more. Understanding them will help you write efficient and optimized code. I found the course was also really focused, clear to understand. There are three main parts to this course: algorithms, data. The Data Structures and Algorithms Nanodegree program will help you excel at solving everything from well-defined problems, like how to calculate the efficiency of a specific algorithm, to more open-ended problems, like building your own private blockchain or writing a web-crawler. My advice would be take it slowly and rush. Although Algorithms and Data Structures are an important part of programming, they are not the only one. CTCI is a really good way to learn how all these data structures work. Introduction to Algorithms 2. Refresh the page, check Medium ’s. It is basically the standard book on algorihms and data structures. It provides an excellent and straightforward. Learning algorithms and data structures can be challenging, but it is a worthwhile investment that will pay off in the long run. Data Structures and Algorithms: Deep Dive Using Java This is one of the most comprehensive courses on data structure and algorithms using Java. Ace coding interviews by implementing each algorithmic challenge in this Specialization. For the past few years data structure and algorithms courses have become very popular and are being widely used by students and working professionals. And I think the practice tasks are in java. Introduction to Algorithms: A Creative Approach 8. Best Books for Data Structures and Algorithms 1. Whether you are an experienced developer or a beginner, learning these concepts is essential for writing efficient and effective code. or learn the Big-Oh and time complexity stuff? Vote 0 Related Topics Programming 0 comments Best Add a Comment. There are also courses on Coursera by Stanford University for Data Structures and Algorithms. Then after solving some medium problems move on to next data structure. Its a set of rules that governs a process provides step by step instructions for performing that process. Advance your Software Engineering or Data Science Career by Learning Algorithms through Enroll for free. data structures and algorithms first or >Should I learn about data structures and algorithms first or. Data Structures and Algorithms Specialization (UCSD). Reddit comments on Data Structures and Algorithms Udemy course. Data Structures and Algorithms Specialization Master Algorithmic Programming Techniques. Data Structures and Algorithms share › ‹ links Below are the top discussions from Reddit that mention this online Coursera specialization from University of California San Diego. In this course you will learn about algorithms and data structures, two of the fundamental topics in computer science. Part I covers elementary data structures, sorting, and searching algorithms. Data Structures and Algorithms II - C950 PASSED in 4 days. or Data Structures, as it gives you a deeper understanding of the inner workings of the. If you try to just learn the data structures and algorithms first without doing any programming, it will all be a bit abstract - I think youre likely to learn more effectively if you can use what youre learning in a practical context. Robert Sedgewick is also the author of Algorithms 4th Edition book, one of the most popular books on Algorithms for. Algorithms The Major Five topics are:- Ad hoc/ Implementation Problems Programming Paradigm (Greedy, backtracking, branch and bound, DP, Divide and Conquer, Brute force etc. We write 6 different sorting algorithms: Bubble, Selection, Insertion, Quick, Merge, and Radix Sort. Most data structures and. ) and data structures (stacks, queues, trees, graphs, etc. DS is a named location for storing and organising information. Data Structure Hash Table Spanning Tree Np-Completeness SHOW ALL About this Specialization 45,708 recent views Algorithms are the heart of computer science, and the subject has countless practical applications as well as intellectual depth. Reddit comments on Data Structures and Algorithms Coursera …. Pretty easy class if you know how to code. CTCI is a really good way to learn how all these data structures work. Im not sure how debatable this is, but when I think of data structures I think of 7 fundamental ones: - Linked lists - Stacks - Queues - Trees - Graphs - Heaps - Hash tables Each one of these has algorithms associated with it for basic functions that make them usable, like adding an element to it, removing an element, etc. Data Structure Hash Table Spanning Tree Np-Completeness SHOW ALL About this Specialization 45,708 recent views Algorithms are the heart of computer science, and the subject has countless practical applications. Im not sure how debatable this is, but when I think of data structures I think of 7 fundamental ones: - Linked lists - Stacks - Queues - Trees - Graphs - Heaps - Hash tables Each one of these has algorithms associated with it for basic functions that make them usable, like adding an element to it, removing an element, etc. A complete guide to study data structure and algorithms for beginners / by Pepcoding / Medium 500 Apologies, but something went wrong on our end. Example: his C# courses. ) Graph Theory (directed, undirected, weighted, rooted (IN & OUT) and unrooted tree, DAG etc. This is another free, online algorithm and data structure training course, which aims to teach basic data structures in computer programming. Learn Algorithm with Online Courses, Classes, & Lessons. Get a kick start on your career and ace your coding interviews. The textbook is organized into six chapters:. Combine data structures to build more complex implementations. They provide in-depth coverage of different data structures and algorithms, and you can always go. Algorithms and data structures are essential concepts in programming. It is useful to be familiar with a programming. For the past few years data structure and algorithms courses have become very popular and are being widely used by students and working professionals. Its taught in java but I did all the exercises in c# and c++ since thats what I use mostly at work. The course mainly involved writing the data structure libraries from scratch and including related algorithms. Also, one thing with data structures and algos is that in the beginning they seem like useless, archaic concepts or only useful for job interviews. Data Structures and Algorithms share › ‹ links Below are the top discussions from Reddit that mention this online Coursera specialization from University of California San Diego. Most data structures and algorithms provide live courseswhere you learn from an expert, you get guidance and clarify your doubts as they arise. For the past few years data structure and algorithms courses have become very popular and are being widely used by students and working professionals. Design and modify data structures capable of insertion, deletion, search, and related operations. More posts from r/Coding_Interview_Help. Refresh the page, check Medium ’s site status, or. Data Structures and Algorithms II. Course #1: Data Structure Concepts in C This is another free, online algorithm and data structure training course, which aims to teach basic data structures in computer programming. ) to solve 100 programming challenges that often appear at interviews at high-tech companies. Im not sure how debatable this is, but when I think of data structures I think of 7 fundamental ones: - Linked lists - Stacks - Queues - Trees - Graphs - Heaps - Hash. It is useful to be familiar with a programming language when studying any subsection of the software engineering realm, such as A. Introduction to Algorithms 2. Python Algorithms: Mastering Basic Algorithms. Data Structures And Algorithms RedditBooks are another excellent source for learning data structures and algorithms. Question 4 - Max product of two int. All product-based company recruitment drives to test the problem-solving skills of the candidate and this requires a sound knowledge of data structure and algorithms. They appear in mathematics, computer science, and data structures. Learn about Arrays, Linked Lists, Trees, Hashtables, Stacks, Queues, Heaps, Sort algorithms and Search algorithms View Udemy Info Page. Additional thanks to u/slayersource for the following link: UPenn edX: 4 Course Series covers basics, data structures, algorithms, and JavaScript. study data structure and algorithms for >A complete guide to study data structure and algorithms for. DATA STRUCTURES & ALGORITHMS Now you have understood the syntax of your preferred language and need to hon your problem solving skills. What are the best Data Structures & Algorithms AND Software. An efficient data structure takes minimum memory space and requires minimum time to execute the data. Once you get comfortable, move to medium ones. Reddit comments on Data Structures and Algorithms Udemy …. Data Structures and Algorithms Deep Dive Using Java share › ‹ links Below are the top discussions from Reddit that mention this online Udemy course. Data Structures and Algorithms share › ‹ links Below are the top discussions from Reddit that mention this online Coursera specialization from University of California San Diego. Data Structures and Algorithms share › ‹ links Below are the top discussions from Reddit that mention this online Coursera specialization from University of California San Diego. Best DSA courses Why learn Data Structures and Algorithms?. Data Structures and Algorithms in Python. 6) Divide and Conquer Algorithm 7) Stack 8) Queue 9) Tree Data Structure 10) Graph Data Structure 11) Greedy Mehtodology 12) Recursion 13) Backtracking Algorithm 14) Dynamic Programming Practice, practice and practice more Compete and become a pro Tips to boost your learning Learn the Fundamentals of chosen Language properly. What are the things I should know before I start. Although Algorithms and Data Structures are an important part of programming, they are not the only one. Full Stack Football Player wanted. Data Structures and Algorithms Books. Learn about Arrays, Linked Lists, Trees, Hashtables, Stacks, Queues, Heaps, Sort algorithms and Search algorithms View Udemy Info Page. Reddit comments on Data Structures and Algorithms Udemy >Reddit comments on Data Structures and Algorithms Udemy. Mosh is a knowledgeable instructor but I hate how he chops a course into multiple pieces that should be in one. Must have 5 years of experience in an object-oriented language, deep knowledge of data structures and algorithms, and a sub-6. Step 1: Learn Data Structures: Arrays, Linked List, Trees, Graph, Sets, HashMaps. Course #1: Data Structure Concepts in C This is another free, online algorithm and data structure training course, which aims to teach basic data structures in computer programming. Algorithms and data structures are essential concepts in programming. Data Structures and Algorithms Made Easy (Karumanchi) Python Algorithms: Mastering Basic Algorithms in the Python Language (Hetland) Any tips on what to start first? For instance, do I start with Arrays/Linked Lists etc. How do I get started with Data Structures and …. Best online data structures and algorithms course?. The Data Structures and Algorithms Nanodegree program will help you excel at solving everything from well-defined problems, like how to calculate the efficiency of a specific algorithm, to more open-ended problems, like building your own private blockchain or writing a web-crawler. Although Algorithms and Data Structures are an important part of programming, they are not the only one. You dont need to know each tool perfectly, but you need to know which tool you need to solve your problem. Data Structures and Algorithms Specialization. Study common data structures, such as arrays, linked lists, stacks, queues, trees, and graphs. Data Structures and Algorithms in Java 9. Data Structures and Algorithms share › ‹ links Below are the top discussions from Reddit that mention this online Coursera specialization from University of California San Diego. Must have 5 years of experience in an object-oriented language, deep knowledge of data structures and algorithms, and a sub-6. Must have 5 years of experience in an object-oriented language, deep knowledge of data structures and algorithms, and a. Comprehensive Data Structure and Algorithm Study Guide. Play with 50 algorithmic puzzles on your smartphone to develop your algorithmic intuition! Apply algorithmic techniques (greedy algorithms, binary search, dynamic programming, etc. Data Structures and Algorithms Deep Dive Using Java share › ‹ links Below are the top discussions from Reddit that mention this online Udemy course. Data Structures: Linked List Queue Stack Binary-Tree Hash Table Algorithms: Quicksort Insertion sort DFT BFT Heapsort A* Once you know these, any additional structures/algorithms are usually slight variations (with a few exceptions). The Algorithm Design Manual 6.