Data Structures with Java Certification Training

A Proven Curriculum to Get an SDE Job in MAANG Company

For Students/Beginners

  • Six Months of Intensive Training
  • Learn from Certified Professionals
  • Solve 100+ Problems
  • Mock Interviews & Interview Prep
  • Resume & Portfolio Building
  • Job Assistance
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Why Learn DSA?

DSA is a fundamental skill for careers in software development, data science, Machine learning, and many more. These stats back the statement.

Course Curriculum

This course is designed for those who are interested in software engineering and want to take their careers up a notch by securing an interview with one of the world's most prestigious companies - Microsoft, Adobe, Uber, Google and Amazon. This training will teach you everything from problem-solving skills to coding so that when it comes time for these crucial interviews you're prepared!


Java Fundamentals

  • Understanding Java
  • Java Data Types
  • Variables
  • Conditional Statements
  • Operators
  • Loops
  • Arrays and Strings
  • Exercises and Summary

Object Oriented Programming

  • Classes
  • Methods
  • Inheritance
  • Interfaces
  • Exercises and Summary

Collections & Generics

  • Collections
  • Collection Interfaces
  • Collection Classes
  • Generics
  • Exercises and Summary

DSA Foundations

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

Career Coaching Interview Prep

  • Personalized Career Coaching
  • Physical & Mental Fitness
  • Secrets of Time Management
  • Success Habits
  • Secrets of Productivity

  • Build projects portfolio on GitHub
  • Draft your Resume
  • Make Profile on Job Portals
  • Art of unlocking opportunities

  • Prepare Yourself for interview
  • How to answer tough questions
  • Learn How to Face your tech interview
  • Mock Interviews to build confidence
  • Get Feedback of your Mock interviews
DSA Career Scope

DSA skilled is employed by the world's leading product-based companies. Discover the salary and skills to become SDE.

Tools and Technologies Covered
What can you accomplish at the end of training?

Complete full-stack specialization, clear mock tests and get referred to companies

  • Build Logic building and problem-solving skills
  • Get placed into a Product-based Company
  • Switch to product-based Companies from service based
  • Get Job as a SDE in Top MNCs
  • Build Real World Web Applications
  • Implement things in Real-world

Pricing and Payment Plans

50% OFF

Program Admission

  • Blended Live Training Program
  • Dedicated Placement Support
  • EMI Support Available
  • Limited Seats Available
  • Help and Support Using Discord
  • Dedicated doubt Solving Sessions
  • 1 Yr. Access to LMS
  • Career Coaching Sessions
*EMI support available. Know More

Student Reviews

Our Students are working at companies such as:


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 benefits of hashing

The hash function in Data structures in Java facilitates the constant-time retrieval of elements and also it is an effective method of storing components.

Q8. Why learn Java-based DSA Problem Solving for Interviews?

As a high-level programming language that can be used to create both simple and complex codes, Java is among the most widely used programming languages. Since Java data structures in Java is practically everywhere, including in mobile and web applications, we should learn this programming language. Java's prominence can be attributed in large part to its platform independence. Now let's speak about data structures and algorithms, which are two of the most often utilized ideas that any programmer needs to be aware of.

Q9. What are some examples of applications where the stack data structure is appropriate?

  1. Analysis of expression
  2. Memory Management
  3. Backtracking or Rewinding
  4. Call and return to a function

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