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Master Data Structures and Algorithms (DSA)

A strong understanding of data structures and algorithms is one of the most important skills a student of computer science should possess. Most of the time, programmers who have sufficient knowledge of this are successful in getting hired by tech giants. What if you decide now that you ought to choose the best data structures and algorithms course?You have come to the right place, as here we will provide you with information about some of the best and most recommended DSA Courses that will help you learn and master all DSA concepts from the basics to the advanced data structures levels.

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Duration : 30+

data structures and algorithms

Master Data Structures and Algorithms Training Course Highlights

This is the Best Data Structures and algorithms course Which is designed to help you understand the fundamentals of Data Structures & Algorithms very well. For programming interviews, this is a must-have. The goal of data structures online course is to secure product interviews by providing an understanding of critically important data structures and algorithms, as well as how they are implemented. We will be learning about stacks, queues, links, binary trees, AVL trees, graphs, and various algorithms for sorting, searching, etc. You will be receiving one-on-one mentorship and every concept will be explained from the scratch so that students from any background can understand the concepts and become experts in data science and algorithms. A DSA experts can earn up to 100,000 dollars a year on average in the U.S., since there are more than 10k jobs available.

Master Data Structures and Algorithms Training Course Learnings

Identify and implement different data structures and algorithms.

Learn how to write your own algorithms and understand if their running time is good.

Become confident when it comes to programming interviews.

Learn how to write and trace recursive algorithms.

Improve your problem-solving and coding skills.

Master Data Structures and Algorithms Training Course Curriculam

  • What is an algorithm?
  • Data Structure and Types
  • Why learn algorithms?
  • Asymptotic Notations
  • Master Theorem
  • Divide and Conquer Algorithm
  • Stack
  • Queue
  • Types of Queue
  • Circular Queue
  • Priority Queue
  • Deque
  • Linked List
  • Linked List Operations
  • Types of Linked List
  • Hash Table
  • Heap Data Structure
  • Fibonacci Heap
  • Decrease Key and Delete node from Fibonacci Heap
  • Tree Data Structure
  • Tree Traversal
  • Binary Tree
  • Full Binary Tree
  • Perfect Binary Tree
  • Complete Binary Tree
  • Balanced Binary Tree
  • Binary Search Tree
  • AVL Tree
  • B Tree
  • Insertion into B-tree
  • Deletion from B-tree
  • B+ Tree
  • Insertion on a B+ Tree
  • Deletion from a B+ Tree
  • Red Black Tree
  • Insertion in Red Black Tree
  • Deletion from Red Black Tree
  • Graph based DSA
  • Graph Data Structure
  • Spanning Tree
  • Strongly Connected Components
  • Adjacency Matrix
  • Adjacency List
  • DFS Algorithm
  • Breadth-first Search
  • Bellman Ford’s Algorithm
  • Sorting and Searching Algorithms
  • Bubble Sort
  • Selection Sort
  • Insertion Sort
  • Merge Sort
  • Quick Sort
  • Counting Sort
  • Radix Sort
  • Bucket Sort
  • Heap Sort
  • Shell Sort
  • Linear Search
  • Binary Search
  • Greedy Algorithm
  • Ford-Fulkerson Algorithm
  • Dijkstra’s Algorithm
  • Kruskal’s Algorithm
  • Prim’s Algorithm
Huffman Code
  • Dynamic Programming
  • Floyd Warshall Algorithm
  • Longest Common Subsequence
  • Backtracking Algorithm
  • Rabin-Karp Algorithm

Training And Package Fee

One-On-One Training Course @ $1499

Master Data Structures and Algorithms Training Course Outcomes

Improve your technical abilities by learning with the finest tutors.

Earn Certificate of completion.

Deepen your understanding of Data Structures.

Practice with hands-on labs to polish your DSA Course skills.

Be eligible for IT jobs in MNC's.

What roles you can play?

Algorithm Developer

Algorithm developers are responsible for the design and integration of algorithms. Well-designed algorithms offer real-time solutions when installed into a software or computer environment.

Quantitative Developer

Quantitative developers are software developers and engineers who provide technological tools, systems. and solutions for investment banks and financial services firms. They develop infrastructures that serve as the foundation upon which advisors can access data.

Research Scientist

Research scientists are responsible for designing, undertaking and analysing information from controlled laboratory-based investigations, experiments and trials.

Machine Learning Engineer

A Machine Learning Engineer is responsible for designing and developing machine learning systems, implementing appropriate ML algorithms, and conducting experiments.

Data Engineer

Data engineers work in various settings to build systems that collect, manage, and convert raw data into usable information for data scientists and business analysts to interpret. Their manin goal is to make data accessible so that organisations can use it to evaluate and optimise their performance

Data Scientist

As a data scientist, you'll extract, analyse and interpret large amounts of data from a range of sources, using algorithmic and statistical tools, to make it accessible to businesses.

Know before you Start

Data structures are various ways to organize data, either a set of items or information. For instance, consider rows of numbers, or lists of names. these are two established data structures. An algorithm is a step-by-step procedure executed by a computer which translates the input into a target output.

Thinkcloudly will help you to become a domain system administrator and our curriculum is full of high quality instructional material that teaches you the skill easily.
Below is a roadmap that you can follow to learn Data structures and algorithms.
The most important task is breaking down the entire process into many separate steps that need to be completed in sequence.

Learning DSA Course can be broken down into five main steps:

  • Learn a programming language of your choice
  • Learn about Time and Space complexities
  • Learn the basics to Advanced Data Structures and Algorithms
  • Practice, Practice, and Practice more
  • Compete and Become a Pro

  • There are different ways for learning, so it depends on the individual. One usually needs two to three months to learn the basics and then a strenuous six-month practice to master data structures and algorithms. Why should you learn Data Structures and Algorithms (DSA)? Many people are under the impression that Data Structures and Algorithms are merely an undesired requirement in their computer science course. In reality, they are so much more than that. It teaches you how to be a better programmer and how to think better, which is a skill that will come in handy in the long-term in surprising ways.
  • Senior Data Structure and Algorithms Developer
  • Senior Node.js Developer – Data Structure & Algorithm
  • Product Engineering Manager – Data Structure/Algorithm
  • Salesforce Developer
  • Software Engineer
  • Senior R&D Engineer
  • BPM Developer – Algorithm/Data Structure
  • Full Stack Technical Architect – Data Structure / Algorithms
  • Data Structures pays an average salary of $118,105 and salaries range from a low of $102,879 to a high of $135,472.

    Skills You Will Gain


    AVL Tree

    B Tree



    Spanning Tree




    Kruskal's Algorithm

    Heap Sort


    Career Services

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    Technology Use Cases

    Goldman Sachs

    Goldman Sachs, a multinational investment banking and financial services company, leverages data structures and algorithms for various financial applications. These include algorithmic trading, risk analysis, portfolio optimization, and complex financial modeling, enabling efficient data processing and decision-making in the financial domain.


    Twitter, a global social media platform, utilizes data structures and algorithms to handle real-time data processing and deliver content to millions of users. Algorithms are used for timeline ranking, personalized recommendations, and trending topic identification, while data structures help in efficiently storing and retrieving vast amounts of user-generated content.

    Our Students Work at

    Master Data Structures and Algorithms Training Course Reviews


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    Master Data Structures and Algorithms (DSA)


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