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Advanced
Data Structures Algorithms & System Design(HLD+LLD)
by Logicmojo

Cracking FAANG companies interviews with a few months of preparation

Learn Advanced Data Structures, Algorithms & System Design

Online live classes from 4 to 7 months programs

Get job assistance after course completion

Download Course Brochure

info@logicmojo.com +91 8088975867

Become an Expert with Logicmojo DSA Course


Learn DSA from Industry experts in Logicmojo DSA Course.
This course covers all topics of
Data Structures and Algorithms from very basic to complete advanced level. All lectures cover complete code explanations.

Crack Tech Interviews at MAANG and Top Product based companies

  • Learn Data Structures, Algorithms & Problems Solving techniques
  • Coding & System Design Interview Preparation
  • Project Based Learning
  • 7 months course Live Online Weekend Classes
Apply For DSA Classes
Watch

120% average Hike

In Job switch

18 LPA average CTC

(Product Based Companies)

1.3 Cr Highest CTC

(In Microsoft, India)

EMI 3,200/month

Easy No cost EMIs

Master Data Structures & Algorithms with Logicmojo DSA Course

Learn DSA for 4 months with System Design for 3 months, and get placed in top product-based companies after completing the course.


Our students have gotten job offers from :

1. Course Curriculum

Master the skills of DSA and System Design with hands-on experience through real-world projects, and transition into a role of SDE. Swich your profile from service companies to top product companies.
Logicmojo's includes the following features in DSA 7-month live course.

Live Interactive Sessions

Get Trained by MAANG Industry Experts Live classes

Practical experience through Projects

Practical experience through real-time projects

1:1 doubt clearing sessions

Personalized programs with Live classes and 1:1 doubt clearing sessions/mentorship sessions.

Job Assistance Program

Job Referrals in Product Companies, Resume Preparation Session and Mock interviews

Missed Classes ?

Attend multiple batches with multiple trainers if you miss any sessions or Topic for 1 Year subscription.

Life Time Access

Missed Classes, get lifetime access recorded lectures of all classes

peer to Peer Learning?

Slack group for peer-to-peer learning & discussion with batchmates. Hackerrank for 1:1 tests & GitHub for Code review.

Flexible Pay

Flexible EMI options on Credit cards and loan options on debit cards.

Assignments for Practise After Class

Practise question is key to crack interviews. Instructor provides assignments for all the topics covered in the class.

Competitive Coding Tests

Evaluate yourself in competitive coding tests with your batchmates.

Batch for DSA Course with System Design Live Classes Starts On

22nd March

Get Assured Interview Call from Top Recruiters

Over 500+ Hiring Partners



2. About Online DSA Course


With the Logicmojo Data Structure and Algorithm Course, you will have the necessary skills and techniques required for coding efficiently, handling data, and solving problems. Let's go through the overview of skills offered by the Logicmojo DSA course: .

  1. Core Data Structure: Master the important data structures to manage and manipulate data efficiently.

    • • Understand the concept of different data structures such as Array, Linked Lists, Stacks, and Queues to streamline the data management process.

    • • Learn to implement tree-based structures for hierarchical data representation and represent complex networks with Graphs.

    • • Learn to hash tables with a hashing technique for fast data retrieval.

  2. Algorithmic Problem Solving: Master essential algorithms for solving problems and writing efficient code.

    • • Master Sorting and Searching Algorithms, and understand their time and space complexities.

    • • Develop the ability to break down problems into subproblems with memorization or tabulation techniques.

    • • Understand Greedy Algorithms to make optimal choices at each step to solve problems like scheduling and coin change.

  3. Complexity Analysis: Learn to analyze algorithms' complexity for composing optimal code.

    • • Understand Time and Space Complexity with Big-O notation to analyze the efficiency of algorithms

    • • Learn to average the time complexity of operations over a sequence.

  4. Advanced Data Structures: Learn to solve complex problems with advanced data structures

    • • Learn to use Heaps and Priority Queues to implement efficient algorithms like Dijkstra’s shortest path

    • • Gain expertise in string processing and search algorithms to perform autocomplete and text search.

  5. Competitive Skills: Improve your programming and problem-solving skills to perform better in a competitive environment.

    • • Learn to optimize your code to reduce time complexity and improve performance.

    • • Learn to analyze problems quickly, think logically, and implement quick solutions within a time-constrained and competitive environment.

  6. Architectural Skills: Learn to design and structure your application effectively.

    • • Learn to design scalable and maintainable software structures with high performance.

    • • Solve recurring design problems by understanding common design patterns.

  7. Product Development Skills: Develop skills and end-to-end processes to bring a product from concept to market.

    • • Learn to translate business needs into technical requirements.

    • • Get familiar with agile methodologies to ensure the product evolves according to the user's need.

    • • Learn product lifecycle and testing process to make sure that the product is secure, reliable, and performs as expected.

  8. Practical Implementation and interview preparation: Apply your knowledge through practical implementations and participate in mock interviews to build confidence.

    • • Improve your ability to implement algorithms with coding practice and solve real-world problems.

    • • Gain insight into frequently asked interview questions and participate in mock interviews to build confidence.

The Logicmojo Data Structure and Algorithm course is designed for a diverse group of individuals to master their problem-solving and coding skills. The individuals who should consider taking this DSA course are:

  • Working Professionals in IT: Professionals or software developers can take this course to upskill their problem-solving ability and stay competitive in the tech industry.

  • Freshers: This DSA course will benefit recent graduates to master data structures and algorithms, build a strong technical foundation, and land their first job in the tech industry.

  • College Students: College students can apply for this course to understand the core concept of DSA and implement it in their academic projects. This course will train them to get internships and job placement.

  • Aspiring software engineers: If you plan to work in software development, building a strong foundation of data structures and algorithms is essential. This course will help you in optimizing code, improving performance, and solving complex problems efficiently.

  • Competitive programmers: Participants in competitive programming contests can benefit from a DSA course to excel in their problem-solving techniques.

  • Job seekers: Many tech companies, including top firms like Google, Amazon, and Facebook, test candidates' knowledge of data structures and algorithms during the interview process. Taking a DSA course can help prepare you for these interviews and increase your chances of securing a job.

  • Educators and mentors: Computer science educators and mentors can benefit from a DSA course to strengthen their own understanding and effectively convey these concepts to their students.

  • Basic understanding of programming language:
    Basic knowledge of programming languages like Java, Python, JavaScript, and C++. Familiarity with writing a basic program and grasp of basic mathematical concepts.
  • Familiarity with Data Structures and Algorithms:
    Understanding of how array and string works and knowledge of data structures. Familiarity with simple algorithms like linear search, binary search, and bubble sort.

  • Everything will be covered in detail in this course from basic to advanced, and with the willingness to learn and improve your skills, you will go a long way with this DSA course.

The Logicmojo Data Structure and Algorithm course covers a wide range of technologies to help you master DSA. Below is a brief overview of technologies covered in this course:

Technologies Description
Data Structures. Data Structures are methods for organizing and storing data efficiently for easy access. Learn different data structures including Arrays and Linked Lists to store the sequences of elements, Stacks to store data in LIFO order, Queues to store data in FIFO order, Trees for hierarchical data representation, and Graphs to model relationships between entities. .
Algorithms. Algorithms are the logical procedures used to manipulate data structures to solve problems. Sorting algorithms arrange data in a specific order to optimize data retrieval and processing in applications, while Searching algorithms find specific elements within a data structure. Dynamic programming is used to solve complex problems by simply breaking them into overlapping subproblems and Greedy algorithms make optimal choices at each step to find a global optimum.
Distributed Systems. Distributed databases handle large-scale applications by storing data across multiple servers to ensure high availability and data consistency. Example: Google Spanner and Amazon DynamoDB Cloud computing platforms provide computing resources over the internet, it allow businesses to deploy and manage applications without physical hardware. Example: AWS, Microsoft Azure, and Google Cloud
Programming Languages Learn Java, a versatile, object-oriented programming language commonly used for developing enterprise-level applications. Example: Android apps and backend systems JavaScript, a dynamic interpreted language used for building interactive and server-side web pages.
Microservices Architecture. Microservices are an architectural style to structure applications as a collection of autonomous, small services. Each service can be developed, deployed, and scaled independently. these services communicate via Representational State transfer APIs, these are the set of rules for designing networked applications.
Object-Oriented Programming. OOP is a programming paradigm that organizes software design around data, or objects, rather than functions and logic. In OOP encapsulation is used to restrict access by bundling variables and functions into a single class. Inheritance is a concept where a subclass inherits properties and behavior from a superclass, this promotes code reusability. Polymorphism allows objects of different classes to be treated as objects of a common superclass. Abstraction is used to hide complex implementation details and expose only necessary features to the user.
Cloud Deployment. Cloud deployment refers to hosting applications on cloud infrastructure. IaaS (Internet as a Service) provides virtualized computing resources by renting IT infrastructures over the Internet, this offers flexibility and scalability without physical hardware. PaaS (Platform as a Service) simplifies the development process by offering users to develop, run, and manage applications over the Internet. SaaS (Software as a Service) delivers software applications over the internet on a subscription basis.
Competitive Programming. Competitive programming platforms allow users to solve algorithmic and mathematical problems on platforms like Codeforces, LeetCode, and HackerRank.

There are various job profiles are open after completing the Data Structure and Algorithm Course, some are outlined below:

Job Opportunities Role Description
Software Development Engineer (SDE) Roles SDEs hold the responsibility of solving complex problems, optimizing code, and improving application performance. They design, develop, and maintain software applications with DSA.
Backend Developer Backend Developers use DSA knowledge to build efficient, scalable, and secure backend systems. They handle server-side logic, database interactions, and APIs.
Software Engineer Software Engineers are responsible for designing, developing, and testing software applications. With DSA knowledge they solve complex problems and implement effective solutions.
Full Stack Developer Full-stack developers take responsibility for handling both the front-end (server-side) and back-end (client-side) of web applications. They optimize data flow between client and server and ensure a seamless user experience.
Senior Software Engineer. Senior Software Engineers with their deep DSA knowledge build robust and scalable systems. They lead projects, guide junior engineers, and make architectural decisions.
Technical Lead Technical Leads supervise the technical part of software projects. Oversee the technical direction of projects. They ensure the efficient implementation of Data Structures and algorithms.
Solution Architect. Solution Architects design the IT system architecture and ensure that all components work together efficiently. They use DSA knowledge to keep up the system's performance and scalability.
Frontend Developer Frontend Developers create the interactive UI/UX of web applications. They use different algorithms to optimize rendering, data handling, and performance.
Technical Manager Technical Managers use DSA principles to implement effective and efficient solutions, they coordinate projects, oversee teams, and ensure that the result meets technical standards.
Product Manager Product Managers use DSA knowledge to make decisions about product design and technical feasibility. They work with the development team to define product features.

3. What will you learn ?

This course covers complete Data Structures, Algorithms, Competitive Programming with System Design. It starts with Arrays and Linked Lists, followed by Binary Trees, Hashing and Graphs. In system design, it comprehensively covers Distributed Systems, Microservices, and AWS cloud deployment.

Complete DSA Course with System Design is
7 months Duration

What you’ll learn in first 4 months in Live Course

1

Time Complexity

Learn fundamentals of programming and understand time complexity.

2

Array, String and Linked List

Master array, string, sorting and linked list and implement real time project on Git and GitHub.

3

Stack and Queue

Learn fundamentals of programming of stack and queue and its useage.

4

Hashing & Heap Sort

Learn fundamentals of programming the hashing/heap sort in very simpler way.

5

OOPS Concepts & Design

Learn fundamentals concepts of OOPs and use it real projects.

6

Competitive Programming

String based and mathematical competitive programming practise,Hackerank, Hackerearch Practise in Live classes

7

Binary Tree, N-ary Tree, Segment Tree etc

Learn fundamentals of binary tree and N-ary tree and use it project/assignements.

8

Greedy Algorithm

Learn all about building responsive websites using HTML5 and CSS3; discuss key HTML5 APIs and their use cases.

9

Backtracking & Recursion

Learn fundamentals of programming the world-wide web and its key stakeholders.

10

Graph Theory

Learn fundamentals of programming the world-wide web and its key stakeholders.

11

Dynamic Programming

Learn fundamentals of programming the world-wide web and its key stakeholders.

12

Advanced Data Structures

Complete Advanced data structures like Trie, Suffix Tree, Suffix Tree, ternary search trees etc

4. DSA Courses

• For Working Professionals LIVE Classes

Advanced Course of Data Structures, Algorithms & System Design(HLD + LLD)

Learn From Basic to Advanced DSA, Problem Solving, Scalable System Design (HLD + LLD),Design Patten etc

  • Curriculum

    1:1 Mentorship

  • Duration

    7 Months Classes
    Life Time Access

  • Mode

    LIVE Classes Weekend

  • ADDITIONAL CURRICULUM

    Projects included

• For Freshers Candidates LIVE Classes

Advanced Course of Data Structures, Algorithms & Problem Solving

Learn From Basic to Advanced Data Structures, Algorithms & Problem-Solving techniques

  • Curriculum

    1:1 Mentorship

  • Duration

    4 Months Classes
    Life Time Access

  • Mode

    LIVE Classes Weekend

  • ADDITIONAL CURRICULUM

    Projects included



5. DSA Course Complete Syllabus

Scalable System Design with HLD + LLD

(Duration - Next 3 months)

This course is curated by leading faculties and industry leaders to provide practical learning experience with live interactive classes and projects.

  • • Techniques to start discussing the problem statement scope
  • • Define all design constraints in the system
  • • Finalizing the scalability, the system will support

  • • System capacity/size estimation with number of users access it
  • • Finalizing the target environment (Tools, library or open sources)
  • • Concise the problem, support the scalability

  • • Identify system level REST API to access the recourses.
  • • Define parameters, return types JSON
  • • Finalize read/write/delete/paste API possible in the system

  • Identify all the data models & business logic involved in backend
  • Identify all functional/Non-functional components involved
  • Finalize state machine, service layer & interfaces

  • Check reliability and redundancy
  • Components required to make low latency system
  • Database finalization, Metadata Sharding etc.

  • Distributed Hash Table, LRU, In-memory Data Lookup
  • Memcache, Read-Through, Write-Through Cache

  • http/https, DOS, web server, abstraction layer
  • Scheduling algo, Round robin, FCFS
  • One to Many, Many to One Communication

  • Vertical scaling, Horizontal scaling, which is better
  • Minimize Latency & Increase Throughput Of System
  • Factors Need to be considered for Scalable System Design

  • High Availability Clustering
  • Desinging & Configuring Distributed Cache
  • Abstraction & Consistency Model

  • Introduction & Configuration of Pub-Sub Model
  • Real-Time Streaming, Active MQ,Message Broker
  • Configuration Load Balancer, Set up CDN

  • Basic Architecture of Kubernetes
  • Kubectl Describe, Configuration of Zookeeper
  • Root Nameserver, Authoritative nameserver, DNS Resolver

  • Client Side vs Server Side Rendering
  • Adding,deleting and Finding Specific Nodes

  • REST API - CORS and Enabling CORS
  • REST-PUT,DELETE,GET,POST Configuration
  • Serialization vs De-Serialization,Working with JSON
  • POSTMAN,Swagger Configuration
  • Restful Web Services Implementation

  • Key Data Store
  • Pull and Push Models Implementations
  • HTTP keep-alive vs long polling

Program Highlights

  • 85+ Hours Live sessions
  • 1:1 Doubt Session
  • 3+ Design Projects
  • Multiple Batches Options
  • Life time accessibility
  • Job Referrals Program
  • Peer to peer Learning
  • Mock Interviews
  • Resume Preparation
  • Weekly Assignments
  • Regular Progress Tests
  • Code Explanation

Advanced DSA & Problem Solving course

(Duration - First 4 months)

This course is curated by leading faculties and industry leaders to provide practical learning experience with live interactive classes and projects.

  • • Order complexity analysis
  • • What is Big 0 Notation, how to use it with various examples.

What is space & time complexity, examples to find out space time complexity

  • • Understanding Average, Best and Worst case of various programs.
  • • Analysis of Loops, Time Complexity of Loop with Powers

More complex examples which involves multiples exponential loops .

  • What is recursion, how to analyse recursion in call stacks .

  • • Understanding code flow of recursive call with examples

  • • Difference between recursive and iterative approaches
  • • Find space complexity of recursive calls.

  • • More Complex examples involve recursion calls,

  • Understanding the Array computations with examples .
  • Implementation of Array problems

  • Why do we need arrays ?
  • Array Advantages And Limitation over other data structures

  • Matrix related Problem(2-D array)
  • Minimum Window Substring
  • Two pointers approach etc

  • Linting, formatting, understanding Python code,
  • Array problems involves searching
  • Array sorting efficient algorithms

  • Discussion of Top product companies interview questions based on Array

  • Most asked interview question are based on strings.
  • How to efficiently solve strings problems

  • Tricks of solving the strings problems techniques
  • Two pointers tricks, window based problems etc

  • Discussion of Top product companies interview questions based on String

  • Linked List creation implementation
  • Adding,deleting and finding specific nodes

  • Implementation of Doubly linked list
  • Implementation of Circular linked list
  • Problems based on DLL, Circular LinkedList.

  • Merge two sorted linked lists, merge sort of a linked list
  • Reversing a linked list, k group Linked List etc

  • Discussion of top product companies interview questions based on DLL, LinkedList

  • Introduction to Trees.
  • Making a tree node class
  • Tree traversals
  • Destructor for tree node class

  • Balanced Trees, How to maintain Tree Balance
  • Self-balancing tree

  • In Order, Pre and Post-Order using recursion
  • Problems based on Binary Tree traversal
  • What Is a Binary Search Tree Used For?
  • Left view, right view, bottom view of binary tree etc

  • Discussion of Top product companies interview questions based on Binary tree

  • Introduction to Binary Search Trees
  • Searching a node in BST
  • Inserting and Deleting nodes in BST
  • Types of balanced BSTs

  • Discussion of Top product companies interview questions based on BST

  • B Tree, B+ Tree & Threaded binary tree
  • AVL Tree, Segment Tree
  • N-ary Tree and Problems

  • Discussion of Top product companies interview questions based on Advanced tree

  • Operations on Stack LIFO operation.
  • Applications & implementation of Stack Data Structure

  • Valid parenthesis, find next greater element, prefix, postfix etc

  • Complex problems of stack

  • Discussion of Top product companies interview questions based on Stack LIFO operation

  • Operations on Queue FIFO operation.
  • Applications & implementation of Queue Data Structure

  • Discussion of Top product companies interview questions based on Queue

  • Applications & implementation of Circular Queue Data Structure

  • Discussion of Top product companies interview questions based on Queue FIFO operation
  • Medium to Advanced set of problems discussion

  • Implementation of Priority Queue using various data structures
  • Insert, delete, peek operation in priority queue
  • Binary Heap Time Complexity of building a heap
  • Applications of Heap Data Structure

  • Min heap, Max heap implementation
  • Interview problems based on Min/Max Heap
  • Basic heap operation, Heapify operation implementation

  • Discussion of Top product companies interview questions based on Heap & Priority Queue

  • Hashing DS, Hash table, hash function.
  • Double hashing, probing
  • Insert, delete & search in hash in O(1) time

  • Top k elements, Smallest subarray, word count etc
  • Product companies Hashing interview questions

  • Implement LRU, various problems on LRU

  • Discussion of Top product companies interview questions based on Hashing

  • Graph and its representations.
  • Undirected Graph, Directed Graph, Connected Graph etc

  • Graph implementation of Adjacency List
  • Adjacency matrix representation of Graph

  • DFS implementation, Application
  • BFS implementation , Application

  • Medium to Advanced interview questions on BFS & DFS

  • All types & implementation of Shortest Path Algorithms
  • Single-Source Shortest Paths in Directed & Undirected graph

  • Trie Data Structure - Explained with Examples.
  • Why use Trie Data Structure?

  • Insert in Trie
  • Search in Trie
  • Trie Applications

  • Word search, Longest Common Prefix, Words in dictionary etc

  • Suffix Tree Introduction
  • Search a pattern using the built Suffix Array
  • Longest common prefix of two substrings
  • Finding the longest repeated substring
  • Pattern searching

  • Representation of ternary search trees
  • Applications of ternary search trees

  • Representation of Segment trees
  • Construction of segment tree from array
  • Interview questions of segment tree

  • Discussion of Top product companies interview questions based on Advanced DSA

Program Highlights

  • 110+ Hours Live sessions
  • 1:1 Doubt Session
  • 4+ Projects
  • Multiple Batches Options
  • Life time accessibility
  • Job Referrals Program
  • Peer to peer Learning
  • Mock Interviews
  • Resume Preparation
  • Weekly Assignments
  • Regular Progress Tests
  • Code Explanation

6. Course Feedback ?

What People Say

DSA Course Review

How it has helped them accelerate their careers to the next level.

140%

Siddharth Pande

Full Stack Developer
One of the Best Resources for Learning DSA & Design. Logicmojo Course Helped me Multiple Times During Interview Preparation For Companies like Walmart, Oracle, and Microsoft. No Need of Any Other Online Materials.
Read More
Oracle
295%

Anjani Kumar

Software Development Engineer - 1
Very Well-arranged Course and its Amazing Lecture Delivery by Trainers. Expert Team is always Available to solve Any Technical Queries. Logicmojo Live Preparation Training Helps me to Crack Zynga and Now Amazon Interview.
Read More
Zynga
190%

Afnaan Rafique

Software Engineer 2
I have a very great experience with Logicmojo. Learning by doing is a great way to learn something which Logicmojo team encouraged me to do so. The course has a big contribution to my success.
GlobalLogic
270%

Piyush Mittal

Senior Developer
The Course Curriculum is of the Best Quality Along with the Best Learning Experience from my Tutor. Best Course to Prepare For MAANG Companies Interview. I Cracked Paytm, Adobe, Intuit, and Microsoft. Finally joined Microsoft at 1.3 Cr LPA Hyderabad MS IDC
Paytm
170%

Diwakar Choudhary

Staff Engineer/Manager
Excellent Course for Interview Preparation, Very Straight to the Point ,In-Depth Coverage of Every Point in Live Classes. Speecially Focus on Practical Implementation of Every Coding & Architectiral Problems.
Cirtix
160%

Priya Singh

Senior Software Engineer
The Course Curriculum is of Best Quality Along with Good Coding Problems that Discussed in the Class. Materials are Helpful even After Completion of the Course.
Read More
MindTree
210%

Mohammed Shirhaan

Lead Engineer
For Learning and Growing in your Tech Carrier, I Would Highly Recommend to Attend the 7 Months Program, it Help you in Very Way to Achieve your Dreams. Very Structured Course, Covering Almost all Techniques and Concepts of Solving Advanced Coding & Design Problems.
Read More
Informatica
210%

Arpit Singh

Senior Software Engineer - 1
Thank you, Logicmojo Team. Your classes are amazing. All topics are covered sequentially, and the techniques and patterns of problem-solving are the best parts of the course.
130%

Rajnish Kumar

Staff Engineer
Great course! Definitely helped me open some new doors in understanding how algorithms work and implementing solutions for the different exercises. Live Courses are recommended for Working Professionals.
Cred
220%

Aravindo Swain

Software Engineer - II
I Would say the Best Part is the Explanation by the Trainer, Concise and Clear. Great Quality of Online Materials and Classes, It Covers all Algorithms and System Design Problems asked During Interviews
Oracle
View more reviews

Our Alumni Speak

How it has helped candidates to accelerate their careers in Software Development Roles to the next level.

Pratik Mishra

Nokia

Choosing Logicmojo was my best decision ever. The instructors were encouraging and glad to answer questions.

Read More

Ayush Agarwal

Intuit

Teaching level in the DSA System Design Course is structured to target the MAANG companies. High-quality questions are discussed in the classes with great explanation.

Read More

Nitik Tiwari

CashFree

Transitioning from a service to a product company, Logicmojo's DSA Course equipped me with the skills needed to land SDE roles.

Venkatesh

CARATLANE PVT LID

Logicmojo team was helpful throughout the sessions during the DSA course. I recommend this DSA System Design Course if you are targeting top tech organizations.

7. Industry Projects

Develop projects from scratch and apply your expertise by designing systems using DSA logic with system design architectures. Enhance your resume with strong skills in the design and implementation of real-time systems.

  • Engage in collaborative real time system design discussion with student-mentor interaction
  • Learn faster in-person through guidance from expert mentors
  • Personalized subjective feedback on your submissions to facilitate quick improvement

BookMyshow Service Design

This is a beginner-friendly scalable real-time system using distributed system concepts. You will learn how to design with HLD/LLD a ticket booking system that supports synchronization. ...Scalable user interaction and payment gateway integrated into the system. End to end complete flow implementation of this system

Design Tiny URL

Design and Implementation of a system of TinyURL where URL shortening is used to create shorter aliases for long URLs. This is scalable system which can access by billions of users at the same time. ...Your system accepts the concurrent request from millions of ustomers and process their request with minimum latency and high efficient system

7. Meet Our Mentors

Our DSA + System Design Course Industry Mentors

Demo Class
Head instructor
For Current Batch

Batch Starts from 15th June

Ranjan Kumar

Senior Developer at Amazon

6+ yrs experience

Ranjan is currently working at Amazon in Seattle, US. He has held senior developer roles at top product organizations, including Microsoft and Amazon. He is a well-known tutor on the internet. Ranjan completed his Master's degree at Stony Brook University. With over 5 years of teaching experience, Ranjan will be tutoring candidate for the upcoming batch starting on June 15th.

Aman Kumar

Full Stack Developer at WalmartLabs

Aman is currently working at WalmartLabs as a Senior Developer.

Mohamed Shirhaan

Software Development Engineer

Shirhaan working as R & D Group of WalmartLabs as senior Developer.

Sankalp Jain

Senior Developer

Sankalp is From IIT Kgp worked as a senior developer.Experienced in the field Designing.

Ravi Singh

Senior Architect

Ravi has more than 14 years of experience and has worked as senior Architect.

8. Course Completion Certification

Grab Valuable Certification

Experience Certification

Participate in projects to earn a certificate of project experience. Additionally, begin preparing for your desired job.

  • Step-by-step program for gradually enhancing coding skills up to the level of FAANG companies.
  • Learn from experts in live interactive classes and practice problems with like-minded people.
  • Get placed in product companies after completing comprehensive training in Data Structures & Algorithms. Also, boost your confidence to appear in MNC interviews.
Apply Icon Apply For Live Classes

9. Fee & Batch Details

Live online classes

Benefits :

✔️ Live online interactive sessions

✔️ 1:1 online Doubt Session with experts

✔️ Online Capstone projects

✔️ Virtual Mock interviews

Program Fee:

₹ 52,000 GST inclusive

Pay in easy EMIs starting as low as

₹ 3,211/month

Batch Details :

Weekend Morning (DSA BATCHES)

22nd Mar SAT-SUN 09:00AM - 12:00PM

Weekend Morning (DSA BATCHES)

10th May SAT-SUN 09:00AM - 12:00PM

10. Who is this Program for?

Tech professional with min 1+ Years of Experience

This program is perfect for Software Developers, Front-end Developers, Product Managers, Web Developers, Software Testers, System Architects, Cloud & DevOps Engineers.

System Architect IT Engg. DevOps Engg. Web Developer

Important Note: This program is not for fresh graduates. You must have at least 1 year of work experience in tech and should know programming. To know more, check eligibility check eligibility.

Program Info

11. Which Skills Are Covered?

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Software Development

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Problem Solving Skills

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Competitive Programming

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Coding Standards and Best Practices

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System Architectural Overview

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Distributed System

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Components Design

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Database Design

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Integrating APIs

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Detailed Class Design

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Code Optimization

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System Interfaces and Abstract Classes

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Soft Skills

12. Which DSA and System Design Tools Will You Learn?

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Data Structures

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Algorithms Optimization

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CP on Leetcode/Hackerrank

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Programing Languages

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Git

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Database Design Tools

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Microservices

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Cloud Deployment

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Docker

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Distributed Cache

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HLD + LLD

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Kubernetes

13. What are the Job Roles and Salary Expectations in SDE Roles?

Devops

Automation

Backend Engineer

Software Engineer

SDE Roles

Avg. Salary(LPA)

14. What Is the Learning Path of the Course?

Get Trained

Submit Assignments

Work on Real Life Software Projects

Bootcamps

Job Readiness

Intensive Interview Preparation

15. Why Logicmojo ?

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Industry-Based Course Curriculum

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Value Added Course: Projects in System Design(HLD/LLD)

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Hands-on with
Assignments After Class

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Job Readiness Program with our 2000+ partner companies

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Support through Slack, Calls, & Whatsapp

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Lifetime eLearning Access

Who Is This For ?

Eligibility criteria must be met for candidates to qualify for the DSA Course. A mentor will call every candidate before enrollment in the course

Eligibility for DSA Course

DSA & System Design Course

For Working Professionals

This course is primarly designed for working professionals. Talk to our experts for profile review before joining

For Freshers

Fresh graduates or undergraduates from a CS/IT background are eligible for this course.

Improve DSA Skills

Candidates who want to improve their problem-solving skills and knowledge of DSA can join this course.

Placement assistance

All candidates who qualify for this course are eligible to receive job assistance in top product companies.

Land in your dream job with real work experience

Enhanced your salary 8X just by learning from DSA & System Design Course

High demand for software developer profile across all product companies in the world

Just Few Months Of Preparation in Live Classes and Crack Coding & System Design Rounds in Top Product Based Companies

25,12,290

Average Annual
Base Salary (2025)

85%

Average Salary Growth Annual
(Service Companies --> Top Product Companies)

161%

Software Developer
Job Listings Growth,
Annual (2019-2025)

Career Impact

Software Development Engineer(SDE) Roles have Average package of 25+ Lakh in Top Product Based Companies.

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Experts & Transform your Career

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Course Fee?

DSA + System Design Course Fee

Total Fee

₹ 45,000

No Cost EMI

As low as ₹ 3,750/month

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DSA + System Design Course Duration

  • Duration: 7 months Live Weekend Classes
  • Prerequisite : Basic understanding of programming required
  • Complete Interview Preparation Course

Who can apply for the DSA + System Design Classes?

  • Software engineers
  • IT Professionals
  • Managers
  • Architect
  • Senior Developers

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What Are Data Structures and Algorithms?

Data structures refer to the way data is organized in a virtual system, such as a sequence of numbers or a table of data. Meanwhile, an algorithm is a set of instructions performed by a computer to transform input into output.

How Do Data Structures and Algorithms Work Together?

1. There are numerous algorithms designed for specific tasks that operate on different data structures with the same level of computational complexity. Algorithms can be thought of as dynamic elements that interact with static data structures.

2. The expression of data in code is adaptable. Once you comprehend the construction of algorithms, you can apply this knowledge across various programming languages. In essence, it's similar to understanding the syntax of a family of related languages. Understanding the foundational principles of programming languages and their organizing principles can facilitate faster learning and easier transitioning between different languages.

How to learn DSA Steps by Steps ?

DSA courses are crucial for learning complete Data Structures and Algorithms. In the video below, we explain how you can learn DSA step by step. Understanding DSA concepts step by step, with regular practice of the problems, is essential. The video explains how we can solve problems in every topic of DSA and how much time should be spent on each topic.



Why Learn Data Structures and Algorithms ?

1. To write code that is both efficient and can handle large amounts of data, it's important to understand various data structures and algorithms. With this knowledge, you can decide which data structure and algorithm to use in different situations to create optimized and scalable code.

2. Knowing about data structures and algorithms can assist you in utilizing time and memory more effectively by enabling you to write code that runs faster and uses less storage.

3. Having knowledge of data structures and algorithms can increase your chances of finding employment opportunities, as these concepts are commonly tested in job interviews across a range of organizations, such as Google, Facebook, and others.

How you can learn data structure and Algorithms ?

1. Learn DSA from Logicmojo

Logicmojo provides a comprehensive set of tutorials on data structures and algorithms, complete with relevant examples that are easy to understand. These tutorials are designed specifically for individuals with no prior experience in computer programming who wish to explore this field.

2. Get familiar with computational complexity

Big O notation is crucial for understanding the time and space complexity of algorithms, particularly in worst-case scenarios where the input size is at its maximum. Time scales range from linear to polynomial, exponential, and logarithmic, and each represents a different level of performance and expected computation time.

The performance of algorithms can vary drastically depending on the scale. For instance, a logarithmic scale may perform well with larger data sets and inputs, while an exponential scale may result in computations that never finish in time.

3. Understand different data structures and algorithm types

Read through basic data structure and algorithm types to get a better feel for the subject.

4. Get on-the-job training

Get a job in software engineering or a role where data structures and algorithms are implemented in order to best exercise your new knowledge.

Learn DSA From Logicmojo Course

For learning DSA, you can refer multiple courses for DSA. These DSA courses will help to you understand the concepts and complete your preparation for Data Structures and Algorithms in few months.

Below we have mentioned two DSA courses to prepare for Interviews.

1. Advanced Course of Data Structures, Algorithms(DSA) & System Design: This Course is for working professionals who wants to prepare DSA to switch there profile from service to top product companies.

2. Advanced Course of Data Structures, Algorithms(DSA) & Problem Solving: This Course is for Freshers candidates who wants to prepare DSA to start there Tech carrier in top product companies.

Features of Logicmojo DSA Course

Logicmojo DSA Course is designed for both working professionals and fresher candidates to prepare for DSA & System Design interviews. Along with live classes, the DSA course is equipped with many other features, as stated below.

1.Live Interactive Classes: Weekend Live classesfrom Experts of MAANG Companies.

2. Practical Experience through Projects: All Topics in DSA & System Design teaches with practical industry based projects.

3. Live Doubt Session: Assignments & Doubts will answered in seperate weekdays Live Doubt Session By Trainer.

4. Job Assistance: : All Candidadates in DSA Course will provided with Job Assistance in Top Product based Companies.

5. Incase Missed Classes: : Attend multiple batches with multiple trainers if you miss any sessions or Topic for 1 Year subscription.

6. LifeTime Access of Content: : Access all recording in the DSA Classes for Life time.

Below image explains all features in an elaborate way.

Need of Data Structures and Algorithms.

  1. Data structures and algorithms are important for solving real-world problems, such as efficiently searching for books in a library.
  2. Knowledge of DSA can help optimize and scale code by selecting the appropriate data structure and algorithm for the specific use case.
  3. DSA skills improve problem-solving abilities and are valuable in the tech industry. Most applications, such as WhatsApp and LinkedIn, use DSA in some way.
  4. Whether working on personal projects, participating in coding contests, or being a software developer, understanding DSA is always beneficial.
  5. Many product-based companies now include DSA and algorithm questions in their interviews to assess problem-solving abilities. Learning DSA can increase the chances of landing a dream job.

Common Data Structures and Algorithms.

  1. Linked lists
  2. Stacks
  3. Queues
  4. Sets
  5. Hash tables
  6. Search trees

Each of these data structures has its own level of computational complexity when performing tasks like adding items or calculating aggregate measures, such as the mean, based on the data stored within them.
Some common categories of algorithms are:

  1. Search
  2. Sorting
  3. Graph/tree traversing
  4. Dynamic programming
  5. Hashing and regex (string pattern matching)

Importance of Data Structures and Algorithms :

Dsa optimize code with complexity : DSA plays a crucial role in reducing time complexity in code. Although a problem can be approached in various ways, selecting the most optimized approach can increase productivity and solve the problem in a shorter time frame. Learning data structures and algorithms can help achieve this optimization.

DSA improves CS Fundamenetal : Data structures and algorithms are regarded as the fundamental pillars of computer science. As technology evolves, the amount of data being stored also increases. However, large volumes of data can adversely affect the processing speed of computer systems. In such scenarios, data structures can be useful as they optimize the storage and utilization of data, leading to improved processing power of the computer.

Applications of Data Structures and Algorithms

In this link we explain in detail about Application of Data Structures & Algorithms

What are Algorithms?

Algorithms are the logical procedures used to manipulate data structures in order to solve problems. There are many different types of algorithms, each with its own unique set of advantages and disadvantages. Here are some of the most common types of algorithms:

Searching Algorithms

A searching algorithm is used to find a specific element in a data structure. There are many different searching algorithms, each with its own trade-offs in terms of efficiency and simplicity.

Sorting Algorithms

A sorting algorithm is used to rearrange the elements of a data structure in a specific order, such as alphabetical or numerical..

Logicmojo offering best online data structures and algorithms course for preparing coding interviews in 2025. All tech giant companies in 2025 focus on problem-solving during interviews irrespective of the domain you are working for or you’re a fresher. Learn data structure and algorithm for experts and finish your preparation in 2-3 months. We teach data structures and algorithms in Java, Python and C++ languages with complete code explanation.

Books For Data Structures and Algorithms

A superlative, contemporary, and user-friendly treatise on data structures and algorithms, this compendium has been meticulously crafted for undergraduate scholars in computer science and information science domains. Comprising thirteen chapters, the content is the brainchild of a global consortium of accomplished pedagogues, delving into the quintessential notions of algorithms, a plethora of pivotal data structures, and the art of interface design. The tome is replete with illustrative examples and schematics, judiciously interspersed with program codes to augment the learning experience..

Data Structures and Algorithms Course for Freshers Candidate

The best way to learn data structure and algorithm courses is to practice every problem by yourself. Practice is only key to cracking top tech company's interviews. Experienced candidates must prepare for System Design problems also. Learn System Design, Distributed System as well as oops design from experts Instructor with 12+ experience in FAANG companies.

This book receives backing from a worldwide team of writers skilled in data structures and algorithms. Through its website at http://www.cs.pitt.edu/~jung/GrowingBook/, it offers valuable insights for both educators and learners to make the most of the authors' knowledge.

Contents of the Book:

  • 1. Introduction to the Fundamentals of Algorithms (P Maresca)
  • 2. The Running Time of an Algorithm (P Maresca)
  • 3. The Execution Time of an Algorithm: Advanced Considerations (P Maresca)
  • 4. Abstract Data Types (T Arndt)
  • 5. Stacks, Recursion and Backtracking (F Thulin)
  • 6. Queues (A Guercio)
  • 7. Lists (R Huang & J Ma)
  • 8. Searching (T K Shih)
  • 9. Sorting (Q Jin)
  • 10. Tables (C R Dow)
  • 11. Binary Trees (S Kim)
  • 12. Graph Algorithms (G Tortora & R Francese)
  • 13. Analysing the Interface (S Levialdi)

course features

logicmojo provides 60+ HOURS LECTURES in data structures and algorithms course
60+
HOURS LECTURES
logicmojo provides ASSIGNMENTS & ASSIGNMENTS DISCUSSION in data structures and algorithms course
ASSIGNMENTS &
ASSIGNMENTS DISCUSSION
logicmojo provides WEEKLY CODING TEST in data structures and algorithms course
WEEKLY CODING
TEST
logicmojo provides JOB ASSISTANCE in data structures and algorithms course
JOB ASSISTANCE
logicmojo provides LIFE TIME COURSE ACCESS in data structures and algorithms course
LIFE TIME COURSE
ACCESS
logicmojo provides DOUBT CLEARING SESSION in data structures and algorithms course
DOUBT CLEARING
SESSION
logicmojo provides COMPLETE CODE EXPLANATION in data structures and algorithms course
COMPLETE CODE
EXPLANATION
logicmojo provides REGULAR UPDATES in data structures and algorithms course
REGULAR UPDATES



Frequently Asked Questions

Everything you need to know about the courses, tution fees, and more.



What topics are covered in a DSA course? +

Data Structures and Algorithms (DSA) course typically covers a variety of topics that are fundamental to computer science and programming. Some of the key topics covered in a DSA course include:

    1. Introduction to Data Structures and Algorithms: Basic concepts, algorithm analysis, time and space complexity, Big O notation.

    2. Arrays: Static and dynamic arrays, multi-dimensional arrays, operations, and applications.

    3. Linked Lists: Singly linked lists, doubly linked lists, circular linked lists, operations, and applications.

    4. Stacks: Implementation, operations (push, pop, peek), and applications.

    5. Queues: Implementation, operations (enqueue, dequeue, front, rear), priority queues, circular queues, and applications.

    6. Trees: Binary trees, binary search trees, balanced trees (AVL, Red-Black), tree traversal techniques (in-order, pre-order, post-order), and applications.

    7. Graphs: Representation (adjacency matrix, adjacency list), graph traversal algorithms (BFS, DFS), shortest path algorithms (Dijkstra, Bellman-Ford), minimum spanning tree algorithms (Prim, Kruskal), and applications.

    8. Hashing: Hash functions, hash tables, collision resolution techniques (chaining, open addressing), and applications.

    9. Sorting Algorithms: Bubble sort, selection sort, insertion sort, merge sort, quick sort, heap sort, counting sort, radix sort, and their time complexities.

    10. Searching Algorithms: Linear search, binary search, interpolation search, and their time complexities.

    11. Recursion: Basics of recursion, recursive algorithms, and examples (factorial, Fibonacci series, Tower of Hanoi).

    12. Dynamic Programming: Introduction to dynamic programming, memoization, top-down and bottom-up approaches, examples (Fibonacci series, longest common subsequence, 0/1 knapsack problem).

    13. Greedy Algorithms: Introduction to greedy algorithms, examples (fractional knapsack problem, minimum spanning tree, Huffman coding).

    14. Backtracking: Introduction to backtracking, examples (N-Queens problem, graph coloring problem, Hamiltonian cycle).

    15. Divide and Conquer: Introduction to divide and conquer, examples (merge sort, quick sort, Strassen's matrix multiplication).

These topics provide a solid foundation for understanding the principles and techniques used in designing and analyzing efficient algorithms and data structures, which are essential for solving complex problems in computer science and programming.

Which language is best for learning DSA? +

Learning Data Structures and Algorithms (DSA) is largely independent of programming languages. You can learn DSA using any language, as long as it is object-oriented. In this course, we primarily use Java, JavaScript, C++, and Python to demonstrate and implement concepts during the classes.

How long does it take to complete a DSA course ? +

Logicmojo Data Structures and Algorithms (DSA) course is offered in two formats: a 7-month program and a 4-month program.

7-month course includes live classes covering both DSA and System Design. The first 4 months focus on DSA, while the last 3 months focus on System Design. This course is designed to prepare you for both coding interviews and system design rounds.

4-month course focuses exclusively on DSA, with live classes tailored specifically to help you prepare for DSA coding interview rounds.

Why Learning Data Structure And Algorithms (DSA) Is Important? +

Currently, All the product companies in the world ask data structures and algorithms based problems for testing the candidates' programming skills. Data structures and Algorithms is the most important subject of computer science, in fact, this is the only subject of computer science that is widely used across all industry whether it’s an e-commerce company/ retail/ health sector/ banking sector/ telecom/ networking or any technology organizations. Learning Data Structures and Algorithms require fine grip in concepts and hands-on practice in problem-solving.
Logicmojo Data structures and Algorithms Course(DSA Course) covers every topic in the form of lectures and assignments. Lectures for understanding problem-solving techniques and assignments for practicing those techniques.

Who should take this DSA course ? +

A Data Structures and Algorithms (DSA) course can be beneficial for a variety of individuals. Here are some groups of people who should consider taking a DSA course:

    1. Computer Science students: Students pursuing a degree in computer science or a related field should learn about data structures and algorithms as they form the foundation of computer programming and problem-solving skills.

    2. Aspiring software developers/engineers: If you plan to work in software development, a strong understanding of data structures and algorithms is essential. This knowledge helps in optimizing code, improving performance, and solving complex problems efficiently.

    3. Professionals looking to upskill: Current software developers or IT professionals who want to improve their skills and stay competitive in the industry should consider taking a DSA course. This can help them tackle more challenging tasks and advance their careers.

    4. Competitive programming enthusiasts: Participants in competitive programming contests, such as ACM ICPC, Google Code Jam, or LeetCode, can benefit from a DSA course. Mastery of data structures and algorithms is critical for success in these competitions.

    5. Job seekers in the tech industry: Many tech companies, including top firms like Google, Amazon, and Facebook, test candidates' knowledge of data structures and algorithms during the interview process. Taking a DSA course can help prepare you for these interviews and increase your chances of securing a job.

    6. Educators and mentors: Computer science educators and mentors who teach programming concepts to others can benefit from a DSA course to strengthen their own understanding and effectively convey these concepts to their students.

In summary, anyone interested in computer programming, problem-solving, or a career in the technology sector can benefit from taking a Data Structures and Algorithms course. It can help build a solid foundation for further learning and career growth.

Eligibility to join this DSA course +

Working professionals in the IT industry who want to transition to top product-based organizations are our primary audience for this course.

Freshers and undergraduate students pursuing B.E/B.Tech can also join this course to build a career in software engineering roles at leading tech companies.

Can a non-IT person or non-CS graduate join this course? +

Yes, non-IT candidates or non-CS graduates who want to prepare for IT companies can join this course. We teach DSA from scratch, enabling them to take the initial steps toward building a career in the IT industry.

How does the placement process work in the curriculum? +

The placement process involves the following step-by-step journey for candidates after completing the course, to help them secure positions in top product-based organizations:

  • Step 1: After completing the DSA course, candidates are tested on their DSA problem-solving skills through a series of mock interview tests. These tests evaluate their knowledge before job referrals and give them a glimpse of actual DSA coding interviews.
  • Step 2: Following the mock interviews, a one-on-one resume preparation process begins. Our experts work with candidates to update their resumes according to industry standards.
  • Step 3: Once the resume preparation is complete, Logicmojo initiates job referrals to top product-based companies. Our team schedules interviews and supports candidates until they successfully crack the interviews and join their desired organizations.

How many DSA mock interviews can candidates attempt? +

Candidates can attempt multiple DSA mock interviews until they pass. The primary objective of these mock interviews is to assess whether candidates are adequately prepared to crack real company interviews.

Is there a timeline to complete mock interviews? +

We recommend candidates complete their DSA mock interviews within 6 months of course completion. However, they can also attempt mock interviews during the course period. In special cases, we extend the deadline to 1 year after course completion.

Which companies are considered for job placements? +

Logicmojo has strong connections with HR professionals and managers from top product-based organizations in India. We provide job placements in leading product companies across the country.

When will I receive the DSA certificate? +

Upon successful completion of the course, every candidate in the batch will receive course completion and project completion certificates.

What projects are covered in the DSA course? +

The Logicmojo DSA course (7 months) covers multiple projects, backend architectures, and designs. In the System Design classes, we discuss various design architectures, distributed system technologies, and cloud infrastructures. Candidates will develop these backend architectures with guidance from instructors. Below are the key components covered during the project discussions:

  • Design Patterns: Design patterns are explained in detail, including the implementation and application of each pattern. Our instructors also demonstrate how these patterns are applied in complex system designs.
  • Business Logic: The course strengthens candidates' coding skills to enable them to write quality, bug-free code. This helps candidates develop the complete business logic required for the projects.
  • Distributed Systems: Distributed systems are the backbone of modern project architectures in the IT industry. The course covers microservices, Kafka, sharding technologies, and complete cloud infrastructure setups during the 7-month DSA program.

How many projects will be included in the DSA curriculum? +

We begin with preliminary projects that are easy to grasp, and as the course progresses, we move on to advanced project designs and architectures. The projects included in the curriculum are tailored to strengthen the candidate’s resume, enabling them to confidently answer interview questions related to these projects. On average, **four projects** are included in each candidate's portfolio.

What programming languages are used for coding these projects? +

For project implementation, any object-oriented programming language can be used. Candidates can choose from Java, Python, JavaScript, or C++ for their projects.

What is the fee for the DSA course? +

**DSA - 7-Month Course Fee with System Design**: The fee for the 7-month Logicmojo DSA course, including System Design, is **INR 52,000/-**. A **15% discount** is available for the first 15 people who join the course, reducing the fee to **INR 45,000/-**.

**DSA - 4-Month Course Fee**: The fee for the 4-month Logicmojo DSA course is **INR 32,000/-**. A **15% discount** is available for the first 15 people who join the course, reducing the fee to **INR 27,000/-**.

Can I pay using No Cost EMI? +

Yes, you can pay using No Cost EMI. There are four options available: **3, 6, 9, or 12 months**. You can choose the EMI duration based on your preference. All these EMI options are completely interest-free. You can apply for EMI using any credit card.

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