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Why Data Structures and Algorithms?

Data Structures are typically used to organize, process, retrieve and store data on computers for efficient use. Having the right understanding and using the right data structures helps software engineers write the right code.
There are two types of Data structures -
  • Linear Data structure: If the elements of a data structure result in a sequence or a linear list then it is called a Linear data structure. Every data element is connected to its next and sometimes previous element in a sequential manner. Example - Arrays, Linked Lists, Stacks, Queues, etc.
  • Non-linear Data structure: If the elements of a Data structure result in a way that the traversal of nodes is not done in a sequential manner, then it is a Non-linear data structure. Its elements are not sequentially connected, and every element can attach to another element in multiple ways. Example - Hierarchical data structure like trees.
  • Data structures are a key component of Computer Science and help in understanding the nature of a given problem at a deeper level. They're widely utilized in Artificial Intelligence, operating systems, graphics, and other fields. If the programmer is unfamiliar with data structure and Algorithm, they may be unable to write efficient data-handling code.
  • A strong grasp of this is of paramount significance if you want to learn how to organize and assemble data and solve real-life problems
  • Almost all product-based companies look at how strong you are at data structures, so it will also help you in your day-to-day work
  • Knowing when to apply the proper data structures is an important step to write efficient code by managing data properly
  • Key highlights of the Scaler Academy's program

    Our program is designed to help you become an expert in Data structures and Algorithms and ace product interviews to scale up in your tech career.
    <b>Structured, 
              industry-vetted curriculum</b>
    Structured, industry-vetted curriculum
    <b>Live classes</b> led by 
              <b>faculty members</b> with hands-on experience
    Live classes led by faculty members with hands-on experience
    Intensive <b>practical experience</b> 
              through <b>real-life projects and applications</b>
    Intensive practical experience through real-life projects and applications
    <b>Aspirational network of peers</b>, 
              across batches and backgrounds
    Aspirational network of peers, across batches and backgrounds
    <b>Regular 1:1 mentorship</b> 
              from product industry veterans
    Regular 1:1 mentorship from product industry veterans
    <b>Career support</b> through mock interviews, 
              profile building, and referral networks
    Career support through mock interviews, profile building, and referral networks

    Curriculum is designed to make you a solid engineer

    Beginner
    10 Months
    Circle boundary 18e04fe4ba0cc118205e16f3daa6f50eb87711c94fbfad3e5d13667386e86ad9.svg
    Checked circle 84ddbeb59e8bba89ca3efe3dcabca3f970d2a2121458ec15903c8247064cd8d3.svg
    Intermediate
    11 Months
    Circle boundary 18e04fe4ba0cc118205e16f3daa6f50eb87711c94fbfad3e5d13667386e86ad9.svg
    Checked circle 84ddbeb59e8bba89ca3efe3dcabca3f970d2a2121458ec15903c8247064cd8d3.svg
    Advanced
    09 Months
    Circle boundary 18e04fe4ba0cc118205e16f3daa6f50eb87711c94fbfad3e5d13667386e86ad9.svg
    Checked circle 84ddbeb59e8bba89ca3efe3dcabca3f970d2a2121458ec15903c8247064cd8d3.svg
    Module - 1

    Programming Language Fundamentals

    1.5 Months
    Not required for Intermediate
    Module - 2

    Data Structures and Algorithms

    4.5 Months
    Not required for Intermediate
    Module - 3

    SQL

    0.5 Months
    Module - 4

    Specializations

    3 Months
    Module - 5

    System Design Essentials

    1 Months

    System Design Electives

    3 Months
    1.5 Months

    • Programming Language Fundamentals
      • Java
      • Data Types and Operators
      • Loops and Conditional Statements
      • Functions
      • Strings

    4.5 Months

    • Data Structures and Algorithms
      • Introduction to Maths for Programming
      • 1D and 2D Arrays
      • Introduction to Time complexity
      • Bit Manipulation
      • Introduction to Sorting & Hashing
      • Introduction to Recursion
      • Stacks, Linked List, Trees, Tries and Heaps

    0.5 Months

    • SQL
      • CRUD
      • Joins
      • Aggregation
      • Indexing
      • Transaction
      • Advanced SQL

    3 Months
    *Only 1 Specialization is allowed per learner, Recorded lectures for others can be availed through 'Request from Support'. At Least 1 specialization is mandatory for successful completion of the course.

    • Fullstack Engineering
      • HTML + CSS
      • JS
      • Simple Projects
      • API Design, CRUD
      • React + Redux
      • Project
      • Express + Mongo
    or
    • Backend Engineering
      • Advanced Language Fundamentals
      • Concurrency
      • SOLID, Design Patterns
      • Schema Design, API Design
      • Spring Boot + Projects
      • Postman, Monitoring, Logging
      • Testing

    1 Months

    System Design Essentials
    • CDN
    • SQL
    • NoSQL
    • Caches
    • Queues
    • Scalability case studies (LLD + HLD)

    3 Months

    Advanced Software & System Design
    • Object Oriented Design (LLD)
      • OOP
      • Design Principles - SOLID
      • Design Patterns
      • UML Diagrams & Schema Design
      • Best Programming Practices (API Design and Project Structure)
      • Concurrency and Multithreading
      • Case Studies and Machine Coding (How to build real systems)
    • System Design (HLD)
      • Consistent Hashing
      • Caching
      • CAP Theorem
      • Distributed Systems & Databases
      • SQL and NoSQL
      • Scalability
      • Zookeeper + Kafka
      • Location Based Services (S3, Quad Trees)
      • Microservices & Containerisation (Docker)
      • Case Studies

    Download Curriculum
    Module - 1

    Programming Constructs

    2 Months
    Not required for Intermediate
    Module - 2

    Advanced DSA and CS Fundamentals

    4 Months
    Not required for Intermediate
    Module - 3

    Software and System Design

    3 Months

    Specializations

    2 Months

    Advanced Electives

    1 Month
    2 Months

    • Programming Constructs
      • Introduction to Time Complexity Analysis
      • Introduction to Arrays
      • Introduction to Number System, Bit Manipulation
      • Introduction to Maths for Programming
      • Introduction to Sorting and Hashing
      • Introduction to Recursion
      • Introduction to Data Structures Fundamentals (Stacks, Linked Lists, Trees)

    4 Months

    • Problem Solving Techniques
      • Time Complexity Analysis
      • Arrays
      • Bit Manipulation
      • Maths
      • Recursion & Sorting
      • Binary Search & 2 Pointers
      • Hashing
      • Pattern Matching Algorithms
    • Data Structures
      • Linked Lists
      • Stacks & Queues
      • Trees
      • Tries & Heaps
    • Advanced Problem Solving Techniques
      • Greedy Algorithms
      • Backtracking
      • Dynamic Programming
      • Graphs
    • Programming Language Internals**
    • (To be conducted in inverted classroom model)
      • Data Types and Syntax
      • Programming Paradigms for the Language
      • Collections framework/ standard library
      • Concurrency
      • Advanced Concepts and Common Pitfalls
    • Database Management Systems
      • SQL
    • Operating Systems
      • Concurrency and Synchronization
    • Computer Networks
      • Socket Programming

    3 Months

    • Object Oriented Design (LLD)
      • OOP
      • Design Principles - SOLID
      • Design Patterns
      • UML Diagrams & Schema Design
      • Best Programming Practices (API Design and Project Structure)
      • Concurrency and Multithreading
      • Case Studies and Machine Coding (How to build real systems)
    • System Design (HLD)
      • Consistent Hashing
      • Caching
      • CAP Theorem
      • Distributed Systems & Databases
      • SQL and NoSQL
      • Scalability
      • Zookeeper + Kafka
      • Location Based Services (S3, Quad Trees)
      • Microservices & Containerisation (Docker)
      • Case Studies

    2 Months

    FullStack Specialisation (Backend and Fullstack)
    • MVC
    • REST APIs
    • ORM
    • SpringBoot (or Django)
    • Views
    • Building a server
    • Web architecture
    • HTML, CSS, Javascript in depth, Node.js
    • Backend architecture, MongoDB, React / Redux
    • Github, Version Control
    • Capstone project
    Or
    Data Engineering Specialisation
    • Building efficient Data Processing Systems
    • Advanced SQL
    • Cloud Services - AWS, or GCP
    • Developing ETL pipelines
    • Map-Reduce Framework
    • Big Data
    • Data Warehousing & Modelling
    • OLAP, Dashboarding
    • Workflow Orchestration
    • Logging, and Monitoring
    • MapReduce, HiveQL, Presto
    • 3 Projects

    1 Month

    DSA for Competitive Programming
    • Combinatorics and Probability
    • Matrix exponentiation
    • Advanced Trees: Segment Tree, k-D Tree
    • Disjoint Set Union
    • Advanced Dynamic Programming
    • Advanced Graphs: Bridges, Articulation point, Network Flow
    And/Or
    Product Management for Engineers
    • Introduction to Product Management
    • Product Thinking & Product Discovery
    • Product Roadmap & Prioritization
    • Mental Models for Product Managers
    • Product Analytics
    • Hands-on case study & Mixpanel session
    • Delivery & Project Management
    • Practical ways to apply PM lessons as an Engineer

    Download Curriculum
    Module - 1

    Advanced DSA and CS Fundamentals

    4 Months
    Not required for Intermediate
    Module - 2

    Software and System Design

    3 Months
    Not required for Intermediate

    Specializations

    2 Months

    Advanced Electives

    1 Month
    4 Months

    • Problem Solving Techniques
      • Time Complexity Analysis
      • Arrays
      • Bit Manipulation
      • Maths
      • Recursion & Sorting
      • Binary Search & 2 Pointers
      • Hashing
      • Pattern Matching Algorithms
    • Data Structures
      • Linked Lists
      • Stacks & Queues
      • Trees
      • Tries & Heaps
    • Advanced Problem Solving Techniques
      • Greedy Algorithms
      • Backtracking
      • Dynamic Programming
      • Graphs
    • Programming Language Internals**
    • (To be conducted in inverted classroom model)
      • Data Types and Syntax
      • Programming Paradigms for the Language
      • Collections framework/ standard library
      • Concurrency
      • Advanced Concepts and Common Pitfalls
    • Database Management Systems
      • SQL
    • Operating Systems
      • Concurrency and Synchronization
    • Computer Networks
      • Socket Programming

    3 Months

    • Object Oriented Design (LLD)
      • OOP
      • Design Principles - SOLID
      • Design Patterns
      • UML Diagrams & Schema Design
      • Best Programming Practices (API Design and Project Structure)
      • Concurrency and Multithreading
      • Case Studies and Machine Coding (How to build real systems)
    • System Design (HLD)
      • Consistent Hashing
      • Caching
      • CAP Theorem
      • Distributed Systems & Databases
      • SQL and NoSQL
      • Scalability
      • Zookeeper + Kafka
      • Location Based Services (S3, Quad Trees)
      • Microservices & Containerisation (Docker)
      • Case Studies

    2 Months

    FullStack Specialisation (Backend and Fullstack)
    • MVC
    • REST APIs
    • ORM
    • SpringBoot (or Django)
    • Views
    • Building a server
    • Web architecture
    • HTML, CSS, Javascript in depth, Node.js
    • Backend architecture, MongoDB, React / Redux
    • Github, Version Control
    • Capstone project
    Or
    Data Engineering Specialisation
    • Building efficient Data Processing Systems
    • Advanced SQL
    • Cloud Services - AWS, or GCP
    • Developing ETL pipelines
    • Map-Reduce Framework
    • Big Data
    • Data Warehousing & Modelling
    • OLAP, Dashboarding
    • Workflow Orchestration
    • Logging, and Monitoring
    • MapReduce, HiveQL, Presto
    • 3 Projects

    1 Month

    DSA for Competitive Programming
    • Combinatorics and Probability
    • Matrix exponentiation
    • Advanced Trees: Segment Tree, k-D Tree
    • Disjoint Set Union
    • Advanced Dynamic Programming
    • Advanced Graphs: Bridges, Articulation point, Network Flow
    And/Or
    Product Management for Engineers
    • Introduction to Product Management
    • Product Thinking & Product Discovery
    • Product Roadmap & Prioritization
    • Mental Models for Product Managers
    • Product Analytics
    • Hands-on case study & Mixpanel session
    • Delivery & Project Management
    • Practical ways to apply PM lessons as an Engineer

    Download Curriculum
    1.5 Months

    • Programming Language Fundamentals
      • Java
      • Data Types and Operators
      • Loops and Conditional Statements
      • Functions
      • Strings

    4.5 Months

    • Data Structures and Algorithms
      • Introduction to Maths for Programming
      • 1D and 2D Arrays
      • Introduction to Time complexity
      • Bit Manipulation
      • Introduction to Sorting & Hashing
      • Introduction to Recursion
      • Stacks, Linked List, Trees, Tries and Heaps

    0.5 Months

    • SQL
      • CRUD
      • Joins
      • Aggregation
      • Indexing
      • Transaction
      • Advanced SQL

    3 Months
    *Only 1 Specialization is allowed per learner, Recorded lectures for others can be availed through 'Request from Support'. At Least 1 specialization is mandatory for successful completion of the course.

    • Fullstack Engineering
      • HTML + CSS
      • JS
      • Simple Projects
      • API Design, CRUD
      • React + Redux
      • Project
      • Express + Mongo
    or
    • Backend Engineering
      • Advanced Language Fundamentals
      • Concurrency
      • SOLID, Design Patterns
      • Schema Design, API Design
      • Spring Boot + Projects
      • Postman, Monitoring, Logging
      • Testing

    1 Months

    System Design Essentials
    • CDN
    • SQL
    • NoSQL
    • Caches
    • Queues
    • Scalability case studies (LLD + HLD)

    3 Months

    Advanced Software & System Design
    • Object Oriented Design (LLD)
      • OOP
      • Design Principles - SOLID
      • Design Patterns
      • UML Diagrams & Schema Design
      • Best Programming Practices (API Design and Project Structure)
      • Concurrency and Multithreading
      • Case Studies and Machine Coding (How to build real systems)
    • System Design (HLD)
      • Consistent Hashing
      • Caching
      • CAP Theorem
      • Distributed Systems & Databases
      • SQL and NoSQL
      • Scalability
      • Zookeeper + Kafka
      • Location Based Services (S3, Quad Trees)
      • Microservices & Containerisation (Docker)
      • Case Studies

    2 Months

    • Programming Constructs
      • Introduction to Time Complexity Analysis
      • Introduction to Arrays
      • Introduction to Number System, Bit Manipulation
      • Introduction to Maths for Programming
      • Introduction to Sorting and Hashing
      • Introduction to Recursion
      • Introduction to Data Structures Fundamentals (Stacks, Linked Lists, Trees)

    4 Months

    • Problem Solving Techniques
      • Time Complexity Analysis
      • Arrays
      • Bit Manipulation
      • Maths
      • Recursion & Sorting
      • Binary Search & 2 Pointers
      • Hashing
      • Pattern Matching Algorithms
    • Data Structures
      • Linked Lists
      • Stacks & Queues
      • Trees
      • Tries & Heaps
    • Advanced Problem Solving Techniques
      • Greedy Algorithms
      • Backtracking
      • Dynamic Programming
      • Graphs
    • Programming Language Internals**
    • (To be conducted in inverted classroom model)
      • Data Types and Syntax
      • Programming Paradigms for the Language
      • Collections framework/ standard library
      • Concurrency
      • Advanced Concepts and Common Pitfalls
    • Database Management Systems
      • SQL
    • Operating Systems
      • Concurrency and Synchronization
    • Computer Networks
      • Socket Programming

    3 Months

    • Object Oriented Design (LLD)
      • OOP
      • Design Principles - SOLID
      • Design Patterns
      • UML Diagrams & Schema Design
      • Best Programming Practices (API Design and Project Structure)
      • Concurrency and Multithreading
      • Case Studies and Machine Coding (How to build real systems)
    • System Design (HLD)
      • Consistent Hashing
      • Caching
      • CAP Theorem
      • Distributed Systems & Databases
      • SQL and NoSQL
      • Scalability
      • Zookeeper + Kafka
      • Location Based Services (S3, Quad Trees)
      • Microservices & Containerisation (Docker)
      • Case Studies

    2 Months

    FullStack Specialisation (Backend and Fullstack)
    • MVC
    • REST APIs
    • ORM
    • SpringBoot (or Django)
    • Views
    • Building a server
    • Web architecture
    • HTML, CSS, Javascript in depth, Node.js
    • Backend architecture, MongoDB, React / Redux
    • Github, Version Control
    • Capstone project
    Or
    Data Engineering Specialisation
    • Building efficient Data Processing Systems
    • Advanced SQL
    • Cloud Services - AWS, or GCP
    • Developing ETL pipelines
    • Map-Reduce Framework
    • Big Data
    • Data Warehousing & Modelling
    • OLAP, Dashboarding
    • Workflow Orchestration
    • Logging, and Monitoring
    • MapReduce, HiveQL, Presto
    • 3 Projects

    1 Month

    DSA for Competitive Programming
    • Combinatorics and Probability
    • Matrix exponentiation
    • Advanced Trees: Segment Tree, k-D Tree
    • Disjoint Set Union
    • Advanced Dynamic Programming
    • Advanced Graphs: Bridges, Articulation point, Network Flow
    And/Or
    Product Management for Engineers
    • Introduction to Product Management
    • Product Thinking & Product Discovery
    • Product Roadmap & Prioritization
    • Mental Models for Product Managers
    • Product Analytics
    • Hands-on case study & Mixpanel session
    • Delivery & Project Management
    • Practical ways to apply PM lessons as an Engineer

    4 Months

    • Problem Solving Techniques
      • Time Complexity Analysis
      • Arrays
      • Bit Manipulation
      • Maths
      • Recursion & Sorting
      • Binary Search & 2 Pointers
      • Hashing
      • Pattern Matching Algorithms
    • Data Structures
      • Linked Lists
      • Stacks & Queues
      • Trees
      • Tries & Heaps
    • Advanced Problem Solving Techniques
      • Greedy Algorithms
      • Backtracking
      • Dynamic Programming
      • Graphs
    • Programming Language Internals**
    • (To be conducted in inverted classroom model)
      • Data Types and Syntax
      • Programming Paradigms for the Language
      • Collections framework/ standard library
      • Concurrency
      • Advanced Concepts and Common Pitfalls
    • Database Management Systems
      • SQL
    • Operating Systems
      • Concurrency and Synchronization
    • Computer Networks
      • Socket Programming

    3 Months

    • Object Oriented Design (LLD)
      • OOP
      • Design Principles - SOLID
      • Design Patterns
      • UML Diagrams & Schema Design
      • Best Programming Practices (API Design and Project Structure)
      • Concurrency and Multithreading
      • Case Studies and Machine Coding (How to build real systems)
    • System Design (HLD)
      • Consistent Hashing
      • Caching
      • CAP Theorem
      • Distributed Systems & Databases
      • SQL and NoSQL
      • Scalability
      • Zookeeper + Kafka
      • Location Based Services (S3, Quad Trees)
      • Microservices & Containerisation (Docker)
      • Case Studies

    2 Months

    FullStack Specialisation (Backend and Fullstack)
    • MVC
    • REST APIs
    • ORM
    • SpringBoot (or Django)
    • Views
    • Building a server
    • Web architecture
    • HTML, CSS, Javascript in depth, Node.js
    • Backend architecture, MongoDB, React / Redux
    • Github, Version Control
    • Capstone project
    Or
    Data Engineering Specialisation
    • Building efficient Data Processing Systems
    • Advanced SQL
    • Cloud Services - AWS, or GCP
    • Developing ETL pipelines
    • Map-Reduce Framework
    • Big Data
    • Data Warehousing & Modelling
    • OLAP, Dashboarding
    • Workflow Orchestration
    • Logging, and Monitoring
    • MapReduce, HiveQL, Presto
    • 3 Projects

    1 Month

    DSA for Competitive Programming
    • Combinatorics and Probability
    • Matrix exponentiation
    • Advanced Trees: Segment Tree, k-D Tree
    • Disjoint Set Union
    • Advanced Dynamic Programming
    • Advanced Graphs: Bridges, Articulation point, Network Flow
    And/Or
    Product Management for Engineers
    • Introduction to Product Management
    • Product Thinking & Product Discovery
    • Product Roadmap & Prioritization
    • Mental Models for Product Managers
    • Product Analytics
    • Hands-on case study & Mixpanel session
    • Delivery & Project Management
    • Practical ways to apply PM lessons as an Engineer

    Download Curriculum

    Career Services

    Along with upskilling and preparing you to be a solid engineer, we will help you with your job search and interview preparation as well!
    Access job opportunities from our 100+ employer partners
    Exchange job opportunities with our extensive 20K+ Scaler student community
    Practice mock interviews with people working in the industry
    Optimize your resume & LinkedIn profile with our experienced experts
    Scaler alumni work at reputed tech organizations and promising startups

    Gain confidence in Data Structure concepts, taught by experienced instructors

    Our faculty comprises experts from Amazon, Google, Hotstar, Facebook, Microsoft to name a few, who have successfully built scalable systems

    Take the informed leap in your career with guidance and interview prep from our mentors

    1:1 Personalised Sessions are held bimonthly. Our mentors have helped thousands of students get clarity in their career paths and prepare for interviews through mock sessions

    Our success lies in our learners success stories

    Read the reviews by Scaler Alumni on how Scaler Academy Program has helped them become solid Data structures and Algorithms Experts
    I am elated to share that I have joined Townscript as a Software Engineer. All thanks to Scaler Academy for providing me with the guidance, skills, and knowledge I needed. When it comes to preparing for Product companies, there is a vast ocean of resources where one can easily get lost. But the curriculum at Scaler is well-framed and industry-vetted that I was able to learn all that is expected of a Software Engineer. Not only did I learn DSA, but also brushed my core skills which will remain with me for the rest of my life. I would like to thank the team for creating Scaler Academy, the best of its kind. Special thanks to my mentor for guiding me & sharing his valuable experiences that helped me learn better. Not to forget the amazing peers who have been a constant motivation in this journey. Lastly, thanks to the recruiter team who helped me find this amazing opportunity.
    I am extremely delighted to share that I will be joining Ola as a Software Development Engineer soon. Being a tier-3 college graduate, this journey to one of the top companies of India was not at all easy. I faced almost all kinds of emotions during my job hunt, but I'm overjoyed and humbled by the milestone I've achieved. For that, I would like to give special thanks to Scaler Academy for helping me in this journey. A big thanks to all the amazing instructors that made the complex topics so easy to grasp. I feel that my regular DSA practice and overall prep helped me gain momentum in this journey. A big shoutout to my mentor for constantly guiding me throughout the journey. He is the best mentor one could ever ask for. Lastly, I would like to thank the recruiter team for guiding me through the interview process. They were always there whenever I needed help.
    I am happy to share that I have joined ThoughtWorks as an Application Developer. After experiencing a couple of failed & awkward interviews, I realized I needed to work on my skills in order to crack them. From building the foundations of DSA to simplifying the concepts of System Design, the program delivered EXACTLY what it said. Even the teachers and TAs tackled each problem in an easy and well-defined structure. The curriculum here is well thought out which added discipline to my routine. It was only after I joined Scaler Academy I received offers from multiple companies, that honestly felt unreal. Thanks to Scaler for creating this platform and a big shoutout to my mentors who not only guided me but also made a proper roadmap for me to be able to achieve success in interviews. I would also like to thank the recruitment team for their help and support.
    I am excited to share that I have received offers from Amazon, Myntra, D.E. Shaw (QTE). I would like to thank Scaler Academy for upskilling my knowledge about DSA & System Design. I am grateful to the founders of Scaler Academy for creating such a wonderful learning platform. I feel blessed to have the finest instructors & mentors. I am extremely glad to have gotten constant support from my mentor who has helped me through the interview process, thank you Scaler for introducing me to a big brother. Lastly, would like to thank the recruitment team for bringing in so many interview opportunities.
    I am extremely thrilled that I will be joining Lendingkart as a Software Engineer. Grateful to Scaler Academy for helping me improve my problem-solving skills and making me understand DSA in a simpler way. Trees, Graphs related problems have always been a nightmare for me. Never imagined solving such problems with ease, thus, would like to thank the Scaler team for their tremendous support. Much thanks to the recruitment team who helped me through the recruitment related process. Thank you everyone from Scaler for all the support and guidance.
    I am pleased to share that I have joined WorkSpan as a Software Engineer. For this, I would like to thank Scaler Academy for teaching me how to think rather than only showing me the ways to solve a problem. Thanks to the Scaler team for teaching how large-scale systems are built. Other than that, thanks to all the instructors for teaching structures & algorithms, backend development and for teaching me recursion, concurrency, and Redis. This program has also made me strong in computer fundamentals (CN, DBMS & OS). Lastly, I would like to thank the recruiter team for arranging interviews with the companies.
    Connect with an Academic Counsellor

    Tuition Fee

    With EMI options, your payment can be as low as Rs 8,370 per month - that's like your monthly grocery bill!
    Total fee: Rs 3.59L inclusive of GST at super affordable EMI options. Try the course for the first 2 weeks - full money-back guarantee if you choose to withdraw.
    EMIs (Pay in Equated Monthly Installments)

    You can find both no-cost EMI & standard interest EMI from our NBFC partners. See below a summary of their best plans (more details available at the time of payment)

    emi-image

    You can also choose to avail EMI options from your credit card providers.

    Scholarship Options
    Way of getting exciting scholarships at Scaler Academy
    1. Get up to INR 25,000 as scholarship basis your performance in the 30 minutes entrance test! If you secure the scholarship and also opt for EMI payment, then you can pay as little as ₹9,811 per month to sign up for Scaler Academy!
    Financing Options
    You can avail financing options for the tuition fee. Make a down payment of $500 and the rest as monthly payments
    To learn more, request a callback and our team will reach out to you
    Scholarship Details
    How to secure your scholarship?
    You have the possibility of receiving up to a $1,100 scholarship based on your performance in the 30 minute entrance test

    Frequently Asked Questions

    As a software engineer/programmer, one should understand the core concepts of data handling. Understanding data structures and algorithms will benefit candidates in coding interviews, as they will be able to write efficient code to handle the data presented by the interviewer/interviewers. They can write code in any programming language with minimal effort
    Product companies worldwide screen applicants based on their grasp of data structures and algorithms. Aside from getting through to product-based companies, the application of data structures and algorithms in the tech world is huge. DSA has been the core of computer programming from the beginning and has been the building block of the software development process, it is incorporated into all of the important languages. The efficiency of software development depends on the choice of an appropriate data structure and algorithm
    There are a number of coding languages with data structures. Among them, C++ and Java stand out for their ease in using DSA. Python, Javascript are some other notable languages to learn data structures
    The key to mastering DSA is to practice as many problems as possible and do so consistently. We provide a pool of problems focused on data structures and algorithms to help you practice as much as you want, stay consistent, and track your progress. Establishing a solid foundation is crucial so staying patient and continuing the pace of learning will eventually pay off
    Data Structures and Algorithms module, which is covered under the Scaler Academy Program will give you expert-level knowledge of DSA and prepare you for interviews that will help advance your career. Students will receive advanced and valuable training in data structures, algorithms, and large-scale systems design, as well as gain insight into how various DSAs work. Recursion, arrays, linked lists, stacks, queues, strings, binary search, trees, heaps, arithmetic operators, loops, etc., will also be covered by experienced instructors.
    Enrolling in the Scaler Academy program, which covers Data Structures and Algorithms will prepare you for interviews and help you advance your career. You'll gain extensive practical experience by working on real-world projects. Students are provided with a well-structured curriculum curated by industry experts that combines CS basics, web development skills, and fundamental DSA skills that will prepare them for technical interviews. Besides improving fundamental DSA skills, our instructors and mentors are well-equipped to assist candidates with behavioral interviews.
    No, learning Data Structures and Algorithms is not difficult as long as you have the motivation to learn. Developing this skill or knowledge simply requires practice and time. Once you've learned the fundamentals of data science, learning algorithms is a great next step.
    Any working professional interested in pursuing or upskilling their career in software engineering, development, and programming can enroll in this program.
    Yes, Scaler Academy will issue you a certificate upon completion of the program.
    There is no need to worry; during the course, all lectures will be recorded, and you will be able to access them afterward.
    Program Registration
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