Data Structures and Algorithms Certification Training

30 Sessions

Live Classes

59 Labs

Hands-on Labs

Instructor-led Live Online Classes

Our learn-by-building-project method enables you to build practical/coding experience that sticks. 95% of our learners say they have confidence and remember more when they learn by building real world projects.
Jun 07 th
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About the Course

The Data Structures and Algorithms Course is intended for individuals with an interest in software engineering who wish to advance their careers by landing an interview with one of the most prestigious firms in the world. So that you are ready for these important interviews, this program will teach you everything from problem-solving techniques to coding.

The importance of the DSA course is that it will help you design acceptable techniques to manage the data in various formats if you study data structures and algorithms. Data is freely accessible and is growing rapidly. These days, data is necessary.

Why Learn Data Structures and Algorithms Course?

Data structures and algorithms are essential for developers who want to improve their problem-solving skills, performance of software programs, career opportunities, excel in technical interviews, and have a strong foundation for advanced topics in computer science.

There are several related career roles as well including Full-Stack Developer, Backend Developer, Product Analyst, Data Scientist, Data Engineer, Big Data Engineer, Data Architect, Application Developer, Mobile Developer, and others. Using data structures enables users to effectively perform certain operations on the data. Thus achieving the DSA certificate will be beneficial for true programmers.

What Technologies will you learn?

In this course, the learner will be able to expertise in Java for logic building, problem solving skills, finding optimal solution of a problem, manage the data in different formats and prepare for SDE interviews with top-notch companies like Microsoft, Amazon, Adobe and others top product-based companies.

Course objectives

Participants in this training will learn data structures and algorithms course and at the completion of this course, attendees will be able to:

  1. Identify techniques to design algorithms and measure their efficiency.
  2. Sort data by using bubble sort, selection sort, insertion sort, shell sort, quick sort, and merge sort.
  3. Search data by using linear search and binary search techniques.
  4. Store and search data using hashing.
  5. Solve problems using arrays, lists, linked lists, queues, and stack.
  6. Solve problems using non-leaner data structures like trees, and graphs.


There is no pre-requisites to join DSA course for computer science background students and working professionals.

Who can Join the Data Structures and Algorithms Certification Training?

Students in college, recent graduates, and working professionals who are preparing for SDE interviews with prestigious organizations like Microsoft, Amazon, Adobe, and other top product-based corporations should learn data structures and algorithms course.


Visual Studio Code, Java SDK

Included in this course

  • Live Sessions 30 Classes
  • Labs 59 Hands-on labs
DSA Foundation

Data Structures

  • Introduction to Data Structure
  • Types of Data Structure
  • Abstract Data Type

Complexity Analysis

  • Complexity Analysis
  • Time complexity
  • Space complexity
  • Big O Notation
  • Iteration
  • Recursion
  • Exercises and Summary

Arrays and Strings

  • Arrays
  • Arrays Types
  • Strings
  • Iterations
  • Exercises and Summary

Sorting Algorithms

  • Bubble Sort
  • Insertion Sort
  • Selection Sort
  • Quick Sort
  • Merge Sort
  • Heap Sort
  • Count Sort
  • Bucket Sort
  • Exercises and Summary

Searching Algorithms

  • Introduction
  • Linear Search and its Implementation
  • Binary Search and its Implementation
  • Ternary Search and its Implementation
  • Jump Search and its Implementation
  • Exponential Search and its Implementation
  • Exercises and Summary

String Algorithms

  • Introduction
  • Count Vowels
  • Reverse a String
  • Reverse Words
  • Rotations
  • Remove Duplicates
  • Most Repeated Char
  • Sentence Capitalization
  • Exercises and Summary


  • Linked List
  • Singly Linked List
  • Doubly Linked List
  • Circular Linked List
  • Exercises and Summary


  • Introduction
  • What are stacks
  • Working with Stacks
  • Building Stack using an Array
  • Exercises and Summary


  • What are queues
  • Working with Queues
  • Building Queues using an Array
  • Implementing Queues using a Stack
  • Priority Queues with different approaches
  • Exercises and Summary


  • What are Hash Tables
  • Working with Hash Tables
  • Hash Functions
  • Collision and Chaining
  • Building a Hash Table
  • Exercises and Summary
DSA Advanced

Binary Trees

  • What are Trees
  • Populating a Binary Tree
  • Building a Binary Tree
  • Traversing Trees
  • Working with Recursion
  • Depth First Traversals
  • Depth and Height of Nodes
  • Minimum values in a Tree
  • Level Order Traversal
  • Exercises and Summary

AVL Trees

  • Introduction
  • Balanced and Unbalanced Trees
  • Implementing Rotations
  • Building AVL Trees
  • Exercises and Summary


  • What are Heaps
  • Working with Heaps
  • Building and Implementation Heaps
  • Heap Sort and its Implementation
  • Implementing Priority Queues
  • Working with Heapify
  • Exercises and Summary


  • What are the Tries?
  • Populating a Trie?
  • Implementation Tries with Hash Table
  • Abstraction and Traversal
  • Exercises and Summary


  • What are Graphs
  • Adjacency Matrix and Adjacency List
  • Building Graphs
  • Adding Nodes and Edges
  • Removing Nodes and Edges
  • Traversal Algorithms
  • Depth-First Traversal
  • Breadth-First Traversal
  • Topological Sorting
  • Cycle Detection using Directed Graphs
  • Exercise and Summary

Undirected Graphs

  • Introduction
  • Weighted Graphs
  • Dijkstra’s Shortest Path Algorithm
  • Shortest Path Algorithm
  • Cycle Detection using Undirected Graphs
  • Minimum Spanning Tree
  • Prim’s Algorithm
  • Exercises and Summary

Greedy Algorithms

  • Greedy Algorithms
  • The strategies of Greedy Algorithms
  • Applications of Greedy Algorithms
  • Exercises and Summary

Divide and Conquer

  • Divide and Conquer Techniques
  • Master theorem Applications
  • Sliding Window problems
  • Merge Intervals problems
  • Exercises and Summary


  • Backtracking
  • Brute Force Approach
  • N Queens Problem
  • KMP
  • Exercises and Summary

Dynamic Programming

  • Dynamic Programming
  • Approaches of Dynamic Programming
  • Top-down approach
  • Bottom-up approach
  • Pattern matching algorithm
  • Exercises and Summary
Hands-On Labs 59 Labs

Java: Count the frequency of an element in an Array


Java: Find all triplets with zero sum


Java: Leaders in an array


Java: Meeting Rooms


Java: Merge Two Sorted Arrays


Java: Minimum number of jumps to reach end


Java: Move all Zeros to the beginning of an array


Java: Remove Duplicates from an Array


Java: Rotate a Matrix by 90 degrees


Java: Rotate an Array to the left


Java: Camel Case of a given Sentence


Java: Count ways to increase LCS length of two Strings by one


Java: Minimum rotations required to get the same string


Java: Multiply Large Numbers represented as Strings


Java: Find Itinerary from a given list of tickets


Java: Find the length of the largest subarray with 0 Sum


Java: Longest Increasing Consecutive Subsequence


Java: Find Whether an Array is a Subset of Another Array


Java: Construct a linked list from 2D matrix


Java: Convert given Binary Tree to Doubly Linked List in Linear Time


Java: Count Nodes in Circular Linked List


Java: Delete all Prime Nodes from a Doubly Linked List


Java: Deletion from a Circular Linked List


Java: Remove Duplicates from a sorted Linked List


Java: Reverse a Doubly Linked List


Java: Traversal of Circular Linked List


Java: Reverse a Stack using Recursion


Java: Delete consecutive same words in a sequence


Java: Sort a Stack using another stack


Java: Next Greater Element


Java: Trapping rain water


Java: Largest rectangle in histogram


Java: Check whether a Binary Tree is BST or Not


Java: Check whether the two Binary Search Trees are Identical or Not


Java: Find the Closest Element in Binary Search Tree


Java: Insertion in a Binary Tree in Level Order


Java: Find right Sibling of a binary tree with parent pointers


Java: Connect n ropes with minimum cost


Java: Continuous Median


Java: Kth Largest Element in a Stream


Java: Kth smallest Element in row-wise and column-wise sorted 2D array


Java: Last Stone Weight


Java: Ceiling in a Sorted Array


Java: Count 1’s in a Sorted Binary Array


Java: Find a Fixed Point (Value equal to Index) in given Array


Java: Search an Element in a Sorted and Rotated Array


Java: Two Elements whose Sum is Closest to Zero


Java: Search in an Almost Sorted Array


Java: Median of Two Sorted Arrays of Different Sizes


Java: A Pair with a Given Sum in the Rotated Sorted Array


Java: Sort Elements by Frequency


Java: Sort a Linked List of 0s, 1s and 2s


Java: Find Missing Elements of a Range


Java: Sort a Nearly Sorted (or K sorted) Array


Java: Chocolate Distribution Problem


Java: Minimum Swaps required to convert binary tree to binary search tree


Java: Count Distinct Occurrences as a Subsequence


Java: Sort a Matrix in all way Increasing Order


Java: Split n into Maximum Composite Numbers


Our Students Reviews

Frequently Asked Questions

Q1. Do you prepare me for the job interview?

Yes, we do. We will discuss all possible technical interview questions and answers during the training program so that you can prepare yourself for interview.

Q2. Do you provide training on latest technology version?

Yes we do. As the technology upgrades we do update our content and provide your training on latest version of that technology.

Q3. Do you provide any course material or live session videos?

Yes we do. You will get access to the entire content including class videos, mockups, and assignments through LMS.

Q4. Can I share my course with someone else?

In short, no. Check our licensing that you agree to by using Dot Net Tricks LMS. We track this stuff, any abuse of copyright is taken seriously. Thanks for your understanding on this one.

Q5. What If I miss my online training class?

All online training classes are recorded. You will get the recorded sessions so that you can watch the online classes when you want. Also, you can join other class to do your missing classes.

Q6. Who are your mentors?

All our mentors are highly qualified and experience professionals. All have at least 8-10 yrs of development experience in various technologies and are trained by Dot Net Tricks to deliver interactive training to the participants.

Q7. What are the different kinds of data structures used in programming?

Data structures come in two different varieties: linear data structures and non-linear data structures. Both are discussed in this DSA course.

Q8. What justifies learning about data structures and algorithms?

Data structures and algorithms help developers to become more problem-solving capable. One can write the same code that is written previously in several lines in only a few using data structures and algorithms. They reduce the amount of time and memory needed for a task that the application needs to complete. Scalability and less coding are two more benefits.

Q9. Do you offer a certificate of completion?

Yes. our DSA certificate is valid and can be used for interviews. Additionally, the student can register for the Certification exam after completing this course.

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25.46 % OFF
₹23,600 ₹18,000
12 months unlimited access to the course.
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