Specialisation in DSA with
Full Stack MERN

Learn DSA integrated with MERN to solve industry use cases

Vimal Daga

The World Record Holder, Founder at LinuxWorld & #13, Sr. Principal IT Consultant, TEDx Speaker & Philanthropist

He has been featured at:

What will you learn in the training?

  • Why DSA Matters:
    • Importance in coding interviews and technical problem-solving.
    • Role of DSA in improving efficiency and scalability in software development.
  • DSA in JavaScript:
    • Understanding how JavaScript handles memory, data structures, and algorithmic operations.
    • Key language features like arrays, objects, functions, and closures for implementing DSA.
  • Big-O Notation:
    • Introduction to time complexity and space complexity.
    • How to analyze algorithms using Big-O notation.
  • Arrays:
    • How arrays work in JavaScript, dynamic arrays vs. fixed arrays.
    • Key operations: traversal, insertion, deletion, updating, slicing.
    • Techniques like two-pointer approach and sliding window pattern.
  • Strings:
    • String manipulation methods in JavaScript (split(), concat(), substring()).
    • String comparison, palindrome checks, and substring searches.
  • Common Problems:
    • Solving problems like finding duplicates in an array, reversing strings, longest common prefix, and more
  • Singly Linked List:
    • Concept of nodes and pointers, implementing a linked list in JavaScript.
    • Operations: insertion at head, tail, and middle, deletion, reversal.
  • Doubly Linked List:
    • Bidirectional pointers, use cases, and advantages over singly linked lists.
    • Implementation in JavaScript and handling edge cases.
  • Use Cases:
    • Practical applications such as browser history, undo functionality, and scheduling.
  • Stacks:
    • LIFO (Last In, First Out) principle.
    • Implementation using arrays or linked lists in JavaScript.
    • Use cases: expression evaluation, function call stack.
  • Queues:
    • FIFO (First In, First Out) principle.
    • Implementation using arrays, objects, or linked lists.
    • Circular queue and priority queue concepts and applications.
  • Recursion:
    • How recursion works in JavaScript, understanding the call stack and base cases.
    • Solving problems like factorials, Fibonacci sequence, and tower of Hanoi.
  • Backtracking:
    • Algorithmic paradigm for solving constraint-based problems.
    • Use cases: solving n-queens problem, generating permutations, and solving mazes.
  • Binary Trees:
    • Introduction to tree structures, node concepts, parent-child relationships.
    • Traversal techniques: in-order, pre-order, post-order, and level-order (BFS).
  • Binary Search Tree (BST):
    • Properties of BST, searching, insertion, and deletion algorithms.
    • Balanced vs. unbalanced trees, and the impact on performance.
  • Tree Use Cases:
    • Real-world applications like file systems, databases, and hierarchical data models.
  •  
  • Heaps:
    • Binary heaps: min-heap and max-heap, operations (insert, extract-min/max).
    • Heaps for implementing priority queues in JavaScript.
  • Priority Queues:
    • Use cases: job scheduling, Dijkstra’s shortest path algorithm, and more.
    • Implementing efficient priority queues using heaps.
  • Hash Tables:
    • Concepts of hash functions and collision handling (chaining, open addressing).
    • Implementing hash tables in JavaScript and understanding hash performance.
  • Graph Representation:
    • Adjacency matrix vs. adjacency list representations.
    • Directed and undirected graphs.
  • Graph Traversal Algorithms:
    • BFS (Breadth-First Search) and DFS (Depth-First Search) implementations.
    • Applications of graph traversal in problems like shortest path, detecting cycles, and connected components.
  • Graph Algorithms:
    • Introduction to Dijkstra’s algorithm, Kruskal’s algorithm for Minimum Spanning Tree (MST), and Bellman-Ford for shortest path with negative weights.
  • Sorting Algorithms:
    • Different sorting algorithms: Bubble Sort, Merge Sort, QuickSort, Insertion Sort, Selection Sort.
    • Comparison based on time complexity (O(n²) vs O(n log n)).
  • Searching Algorithms:
    • Linear search vs. binary search.
    • Optimized search algorithms using sorted data, interpolation search, and exponential search.
  • Concepts:
    • Memoization vs. tabulation techniques.
    • Overlapping subproblems and optimal substructure properties.
  • Classic DP Problems:
    • Solving problems like knapsack, coin change, longest common subsequence, and minimum edit distance.
  • Introduction:
    • When to use greedy algorithms over dynamic programming.
    • Greedy algorithm properties: locally optimal choices lead to globally optimal solutions.
  • Problem Solving:
    • Solving problems like activity selection, coin change (greedy approach), and Huffman coding.
  • MERN Stack Components:
    • MongoDB, Express.js, React.js, and Node.js.
    • Understanding how the MERN stack allows seamless JavaScript development from frontend to backend.
  • DSA’s Role in Full-Stack:
    • How data structures and algorithms are essential in managing data, building efficient APIs, and handling frontend optimizations.
  • MongoDB as a NoSQL Database:
    • Storing complex data structures like arrays, objects, trees, and graphs in MongoDB.
    • Querying and indexing large datasets for fast lookups and data retrieval.
    • Aggregation framework for processing data structures.
  • Schema Design:
    • Designing MongoDB schemas that can efficiently store DSA-related data (e.g., storing hierarchical data like trees).
    • Use of embedded documents vs. referencing for optimized data access.
  • Efficient Algorithm Implementations:
    • Implementing DSA concepts like searching, sorting, and data manipulation in Node.js.
    • Using Node.js’s asynchronous nature and event-driven architecture to handle large datasets and complex algorithms.
  • API Performance Optimization:
    • Optimizing backend API calls by leveraging efficient algorithms and data structure choices (e.g., caching results, minimizing data transfers).
    • Using libraries like lodash for efficient data processing.
  • React for Algorithm Visualization:
    • Using React’s component-driven architecture to build visual representations of algorithms.
    • Implementing interactive visualizers (e.g., sorting visualizer, pathfinding algorithms) that allow users to see how algorithms work step-by-step.
  • Efficient State Management:
    • Managing complex states (e.g., for large data visualizations) using React hooks (useState, useEffect) and libraries like Redux.
    • Optimizing React’s performance using memoization (React.memo, useMemo).

Why Do DSA with JavaScript Integrated with MERN?

Strong Problem-Solving Skills

Develop analytical thinking to tackle complex challenges.

Career Advancement Opportunities

Unlock new roles and higher salaries in software development.

Enhanced Coding Proficiency

Master efficient coding practices for better software solutions.

In-Demand Skill Set

Equip yourself with skills that are highly sought after in the tech industry.

4 Reasons to learn DSA with JavaScript Integrated With MERN under Mr Vimal Daga

Reason #1: Strengthen Your Problem-Solving Skills:

Learning DSA hones your analytical mindset, allowing you to break down complex problems into manageable parts. This skill is essential not just for coding but also for developing a logical approach to everyday challenges in software development.

Reason #2: Boost Your Coding Proficiency: 

Integrating DSA with JavaScript enables you to write cleaner, more efficient code. As you learn various algorithms and data structures, you’ll gain insights into optimizing performance, which is crucial for building high-quality applications in the MERN stack.

Reason #3: Enhance Your Career Prospects:

With the demand for Fullstack developers continuously growing, acquiring a strong foundation in DSA along with MERN makes you a competitive candidate in the job market. Companies are looking for developers who can not only build applications but also understand the underlying logic that drives performance and scalability.

Reason #4: Prepare for Technical Interviews:

Many top tech companies prioritize DSA knowledge in their interview processes. By mastering these concepts, you will feel more confident and prepared to tackle coding challenges during interviews, significantly improving your chances of landing your desired job.

Who is this training for?

Pursuing Engineering Students
Software Engineers
Developers
IT Industry Professionals
Freshers
Professionals from any industry
Professionals in a tech adjacent role

Get Certified

Yes! You will be certified for this training once you submit the task given, if any

Official and verified:

Receive an instructor signed certificate with institution’s logo to verify your achievements and increase your job prospects

Easily shareable

Add the certificate to your CV or your Resume or post it directly on LInkedin. You can even post it on instagram and twitter.

Enhances Credibility

Use your certificate to enhance your professional credibility and stand out among your peers!

Increase potential opportunities

By showcasing your achieved skill set using your certificate, attracting the employer for the desired job opportunities becomes easy

Vimal's Journey
From humble beginnings to winning learners' hearts across the globe

With the expertise to deliver any technology in an easy way and a heart to share his knowledge, Vimal Daga is a self-made IT enthusiast. He is meticulous about researching the skills needed for the future and making them available for the entrepreneurs & professionals of tomorrow. The masterly IT consultant has changed the lives of many students with his inspiring teachings. 

You can be the next!

Stepping Stones of Vimal’s vision: 

Vimal Daga, in his near 20 years of experience has earned many laurels. To mention a few:

  • Became Young Entrepreneur 
  • A TedX speaker
  • Trained more than 3500+ students for free
  • Two-time world record holder
  • Fastest achiever of 11 AWS global certifications (in 11 days)
  • Highest RHCA level holder (25th level with 10th level EA)
  • Creating 100s and more of entrepreneurs through his trainings
2,00,000+ Students Impacted
1,50,000+ Professionals trained
75+ Global Certifications
200+ Companies benefited

Book your spot ! We will be increasing the price soon…

Specialisation in DSA with Full Stack : MERN
Learn DSA integrated with MERN to solve industry use cases

₹ 5,000 ₹ 20,000 + Taxes

What you’ll learn...

And bonuses too...

Know Your Mentor

None of the technologies is complex since created by human beings. Hence, anyone can learn it and create something new.

#13 proudly presents Vimal Daga as the mentor for this program

A world record holder, Mr. Vimal Daga is a Technologist, Philanthropist & A TEDx Speaker who is dedicatedly working atowards his vision- “Awakening the youth through a culture of right education”.

He is the first one in the world to become “RedHat Certified Architect Level 25 along with Enterprise Application Level 10”. Companies benefited from his 19+ years of experience.

He has expertise in multitude of latest and high-end technologies namely Machine Learning, Deep Learning, Delphix, AppDynamics, Docker, DevOps, Cloud Computing, AWS, and many more.

Our alumni works at:

Frequently Asked Questions

Dates : 20th October 2024

Time : 7:30PM IST onwards 

Duration : 120+ Hrs,

The program will be delivered LIVE, providing full interactive opportunities to participants for sustainable learning.

No, we don’t provide any. But Yes, we do provide the access to the material which was covered in the training for your future reference

Yes, we are offering for a group of more than 3. Please drop an email to us on info@hash13.com for further details

We start from the very basics, so no previous knowledge is required.

Yes DEFINITELY..You will be added to a community where technical support team members will answer your queries for 60 days from the completion of the program.

We have a “no questions asked” 100% refund policy till 24 hours prior to the start of the program. After that, no refund will be entertained. Amount will be refunded within 7 days. For related queries email us at info@hash13.com.