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With this course, you will:

  • Learn DSA step-by-step from start to finish.
  • Solve 100+ challenges in real-time.
  • Get certified and prepare for your first job interview.
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$113,000

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Learning Path

DSA: A Complete Roadmap Using Python

Learn Data Structures and Algorithms with Python to master the art of writing highly efficient code and ace your coding interviews.

  • Level: Intermediate

  • Duration: 2 months

  • Type: Interactive

  • Language: English

  • challenge

    Coding Challenges: 105+

  • message-question

    Quizzes: 135+

Course Overview

  1. 1

    Recursion

    Make your long loops short, elegant, and easy to read.

  2. 2

    Complexity Calculation

    Analyze how much time and memory it takes to execute your code.

  3. 3

    Searching Algorithms

    Search for specific data efficiently.

Start this Course

Learn practically
by solving real-world problems.

Experience how data structures & algorithms are used in the real world with our practical examples and challenges. Try this sample challenge to get a feel.

Start Now!

Enroll for FREE

With this course, you will:

  • Learn DSA step-by-step from start to finish.
  • Solve 100+ challenges in real-time.
  • Get certified and prepare for your first job interview.
Fi Coin

Average Salary (US)

$113,000

Fi Box

Prerequisites

Fi Coin

Average Salary (US)

$113,000

Fi Box

Prerequisites

Start Now!

Enroll for FREE

3 Courses:

  • Recursion with Python
  • Complexity Calculation
  • DSA with Python

PROFESSIONAL
CERTIFICATE

THIS IS TO CERTIFY THAT

Jane Doe

has sucessfully completed the Professional Certificate

Master DSA with Python

Get DSA certified and gain a competitive edge

Showcase your expertise on LinkedIn and stand out from the crowd. Impress your potential employers.

3 Courses:

  • Recursion with Python
  • Complexity Calculation
  • DSA with Python

PROFESSIONAL
CERTIFICATE

THIS IS TO CERTIFY THAT

Jane Doe

has sucessfully completed the Professional Certificate

Master DSA with Python

Learn DSA by Doing

Universal Fact: You can't learn to code without actively writing code yourself.

So, how do I start?

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Learn by Doing
Learn by Doing

Why Learn DSA?

Knowing a programming language is just the first step on your programming journey. To stand out as a programmer, knowledge of Data Structures and Algorithms (DSA) is essential. DSA helps you understand, analyze and optimize your code.

Imagine you need to travel from New York to California; you can reach California by car, bus, train, or flight.

Flying is the fastest way to get to California, but it is also the most expensive.

So, just as flying suits those who prioritize speed while trains cater to budget-conscious travelers, programming offers various approaches to solving a single problem.

By understanding DSA, you acquire the expertise to select the most suitable solution for your program.

Additionally, you develop the ability to evaluate your algorithms' computational speed and memory consumption.

These proficiencies are the cornerstones of proficient coding, which is why most software engineering interviews test your knowledge of DSA. So, a good understanding of DSA will make you a better programmer and increase your chances of landing your dream programming job.

Common Questions

  • DSA is indeed a bit more challenging compared to learning the basics of a programming language. However, with practice and dedication, you can master the core concepts of DSA.

    Since designing data structures and algorithms consists of implementing programming logic, beginner coders won't have a hard time once they understand the theory behind the subject.

    In other words, the challenge is to understand the theory and concept behind a particular data structure or algorithm. Once that's done, you can simply implement them with beginner-level programming. Doesn't sound very hard now, does it?

  • The duration depends on your learning pace and dedication. On average, it takes 3-6 months to learn DSA.

  • You can master DSA by following the guideline we've provided below:

    1. Select a Programming Language: Choose the programming language you're most comfortable with. If you don't know how to code, simply learn Python since it's easy.
    2. Learn Recursion: Recursion makes long and difficult programs easy to read and elegant to look at. This concept will be extremely useful while learning DSA.
    3. Learn Time Complexity: Understand how long your code will take to run and how much space it will occupy.
    4. Learn DSA: Finally, start learning DSA. Start with easy concepts like arrays and searching algorithms. Make sure you devote the majority of your time to practice; don't just read about a concept and move on to the next one. Don't hurry! Gradually move towards more complex topics and practice diligently.
  • This course is for

    • Beginner and Intermediate programmers who want to further enhance their programming skills.
    • Students who are taking DSA as a course in their studies.
    • Job seekers looking to strengthen their problem-solving skills for better job opportunities.

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