How to Learn Algorithms And Data Structures YASH PAL, 29 December 20186 August 2025 Guide on How to Learn Algorithms and Data Structures – If you want to learn algorithms and data structures to build your skills. then you are in the right place. to fully understand how to learn algorithms and data structures full read this post. Then, you can decide whether this is right for you or not. And if you find that this post is right for you then please click on any advertisement shown on this page. it really helps me. so let’s start the topic…How to learn Algorithm?If you are a technical person, you should be familiar with algorithms. and if you don’t know, then I will tell you.The algorithm is a way to solve the problem. and used for creating logic and getting the best and simplest solution to the problem. and used to find an effective method for a problem. and it has a starting point and an ending point. Now the technology is becoming widespread. and every day we face new problems in the technical field. so the algorithm is the best way to solve any problem and get the idea of how a problem is solved. and now time this thing is essential and recommended.“so there are the lists of topics which you should learn in algorithms for solving any type of technical problem.”first of all, you need to know what algorithms are and why we use this topic to solve the problem. then you should get started in the field of algorithms. below is given step-by-step process to learn the algorithm. Follow and learn all these topics, and you will be a master in algorithms and data structures. First stepHow to sort an algorithmShould learn how to analyse and design an algorithmSecond stepWhat is big O notationBig O notation examplesWhat is Asymptotic notationWhat is Standard notationThird stepThe indicator of random variables and random algorithmThe hiring problemProbabilistic analysisFourth stepBellman-Ford algorithmMultithreaded algorithmsDijkstra’s algorithmThe simplex algorithmRelabel-to-front algorithmJohnson’s algorithmFloyd-Warshall algorithmKruskal and Prim algorithmPush-relabel algorithmKnuth-Morris-Pratt algorithmStrassen’s algorithmsFor a better understanding of the algorithm and for practice. you can solve these problems. like Rotations, insertion, deletion, matrix multiplications, recursion, hiring problem, and you should be used algorithms to solve the data structure problems. like how to create a linked list. And how to create stacks and queues. how to represent trees and create binary trees. problems for Hashtables, for creating Heaps.How to learn Data Structures?Further learning Data Structures you have at least knowledge of one programming language. so you can easily and fully understand this topic.Data structure uses to arrange to data. because in now time the production of data on the internet grow up rapidly. and all the data is in unstructured form.Data structures included many topics. and to be professional and to solve any problem, it’s recommended first. the included topics are –Pointers and ArraysLinked listsStacksQueuesOperations on Linked listSearching and Sorting AlgorithmsHashing algorithmsBinary treeGraphsStandard template libraryLearn about ArraysDynamic variablesAbout the new operatorAbout delete operatorPointer-based operationsDynamic arraysShallow and Deep copyTime complexityPolynomial operationsLearn about the Linked listBuilding a linked listItem insertion and deletion in the link listStructures of linked list nodesNode type member variablesLinked list iteratorsDestroy the listInitialize the listPrint the listLength of a listRetrieve the data of the first node and last nodeBegin and end of the listCopy the listHeader-linked listMerge two linked listsSingle-linked listDoubly linked listCircular linked listInsertion in Circular linked listOrdered linked listUnordered linked listLearn about StacksInitialize stackEmpty and full stackPush and Pop operationsCopy stackImplement a stack as an arrayStack header filePostfix, Prefix, and Infix expressionsLearn about the queuesInitialize queueAdd and delete queueEmpty and full queueFront and back queueDesigning a queuing systemSingle queueCircular queueDequeuePriority QueueLearn about the searching and sorting algorithmsSequential search/linear search.Binary searchBubble sortBubble sortInsertion sortSelection sortQuicksortHeap sortMerge sortRadix sortCounting sortLearn about the Hash algorithmsHash-tableHash functionCollision resolutionOpen addressing using the hashHashing using quadratic probingChainingLearn about the treeTreesProperties of the treesBinary TreeOperations on a Binary TreeRepresentation of Binary trees using arrays and linked listsTraversing on a binary treeBinary search treeB-treeB+ treeAVL treeThreaded binary treeLearn about the GraphBasic concepts of graphsDifferent representations of GraphsBreath first searchDepth-first searchMinimum Spanning TreePrim’s algorithmsKruskal algorithmsDijkstra’s algorithmsThese all topics are the foundation of data structures. just learn these topics.If you think that this post is helpful for you then please I request you to click on any advertisement given on the post. it will help me. and also appreciate me to make more things like that.Thanks for reading. 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