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DSA for Beginners with Python - 1

  • Ace the coding interviews of top tech companies
  • Gamified learning for visual understanding of concepts and prolong retention
  • Break complex coding problems into simpler tasks and solve them using the correct Data Structures/Algorithms.
  • Compare the complexities of various algorithms and employ the most optimal one.
  • Learn to implement algorithms with 50+ programming challenges and concepts.
 DSA for Beginners with Python - 1

50+ Problems

Concepts and Interview Questions

1 Month

Learn at your own pace

20+ hours

High-quality lectures with code-along videos

DSA for Beginners with Python - 1

This extensive hands-on course takes you from the fundamentals of Data Structures and Algorithms to an advanced level in weeks. It contains 6 modules and covers a wide range of topics in data structures and algorithms such as Object-Oriented Programming, and Sorting Algorithms, Recursions and Backtracking. At the end of each module, you will apply the skills learned during the course to solve real-world programming problems quickly. This course also contains solutions to the interview questions from top companies with code-along explanations to give the learners a competitive advantage. This course is designed for all stages of learning, whether you are a complete beginner or from a non-tech background.

  • Self-paced Training

  • 50+ Concepts and Problems

  • 20+ Hours of video content

  • 20+ Assignments

  • 10+ Interactive games

  • Beginner Friendly

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Sample Certification
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Why this Course?


The more diverse the role, the greater is the monetary variation. According to Indeed, entry-level Software Engineers earn up to $92,824 per year, while experienced Software Engineers earn up to $107,510.

Job Aspects

DSA is of prime importance and is one of the top skills when it comes to software engineering that results in impactful career transitions. Another example of the application of DSA is AI algorithms. AI Scientists use advanced Data Structures and Algorithms to solve complex mathematical problems.

Importance of DSA

Data Structures and Algorithms are at the core of any computer science application. DSA is used to solve real-world problems, and when paired with machine learning algorithms, DSA can be very useful; a great example is Google ranking systems. Learning and exploring DSA helps you to think and come up with the best possible solutions.

Why AI Probably?

Gamified Experience

Gamified approach for understanding of concepts and memory retention based on Cognitive Neuroscience.

Solved Interview Problems

Contains solved interview questions from top companies with an in-depth explanation.

State-of-the-Art LMS

A modular LMS designed with an easy-to-navigate user interface.

Taught by Industry Experts

Get on-demand video lectures and learn from renowned industry experts.

Number of hours

Get more than 20+ hours of explicit content in the form of lectures and code-along videos.

24 x 7 Learning Support

Get learning support at any point of time during your enrolment in the course.

Course Fee

  • Hurry! Grab this offer Fast

    INR 2999.00 7999.00

    Skills-based Hands-on Video Lectures

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    60.00% OFF*


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Learning Objectives

Gives the potential of Python Programming Language and introduces different Python Data Types such as Strings, Loops, Conditional Structures, and so on.


  • Variables & Data Types
  • Strings
  • Loops
  • Conditional Structures
  • Functions

Learning Objectives

Discuss the structure and benefits of OOP and get to know about the four pillars of Object-Oriented Programming.


  • Inheritance
  • Polymorphism
  • Encapsulation
  • Abstraction

Learning Objectives

Work with the basic Data Structures of Python and implement Sorting Algorithms by utilizing them.


  • Lists
  • Sets
  • Arrays
  • Bubble Sort
  • Selection Sort
  • Insertion Sort
  • Quick Sort
  • Merge Sort

Learning Objectives

Learn about Asymptotic Analysis, the Notations, and calculate the time complexities of various algorithms


  • Big-O Notation
  • Omega-Ω Notation
  • Theta-ϴ Notation
  • Comparison of Algorithms
  • Complexity Calculation

Learning Objectives

Understand the properties and working of Linked Lists, differentiate between Linked Lists and Arrays, and visualize various types of Linked Lists


  • Working on Linked Lists
  • Singular Linked Lists
  • Doubly Linked Lists
  • Circular Linked Lists
  • Skip Lists

Learning Objectives

Comprehend Recursion and Backtracking, and distinguish between Recursion and Iteration.


  • Recursive Functions
  • Recursion vs. Iteration
  • Backtracking Examples
  • Applications

Tools and
Technologies covered


Harshit Agrawal

Flutter Developer at FinMapp

Absolutely Worth it!

This is one of the top courses for learning Python Data Structures and Algorithms, and you will not find a better course for such a low price. You'll learn not only about data structures but also how to use Big O notation to examine the time and space complexity of your code, as well as ways for reducing it by making space-time trade-offs.

Vinay Jain

AI Developer

Very well designed

One of the best DSA courses out there, the course brings out intuition about the topics and complex questions very well. Recommended for anyone who is starting with Python or DSA.

Debaprasad Paul

Product Development Engineer at Comviva

Amazing course

This is the finest data structure and algorithm course for Python developers that I've found! It covers both basic and complex data structures such as Arrays, Linked Lists, Trees, and sorting techniques such as QuickSort, MergeSort, and Insertion Sort.

Frequently Asked Questions

Learning and exploring DSA helps to think out of the box and develop optimal solutions. Companies like Google, Facebook, or Microsoft want engineers who can create unique algorithms to solve highly complex issues they face.

All you need is a stable internet connection and a laptop to stream the video classes. The course starts with the most basic concepts of Python and DSA.

Your system should have a minimum of 4 GB RAM. You can also run your programs in Google Colab Notebook.

You will be able to use the correct algorithms and data structures in your daily work and develop programs of a faster magnitude. You will also be able to solve programming challenges like those seen in Google, Facebook, Microsoft, Yandex, and the questions asked in the technical interviews of Fortune 500 companies.

Yes, the course has a curated list of more than 20+ interview questions solved by the industry experts with in-depth code-along explanations.

Whether you are a student or a professional, the knowledge you gain from the course will open a bundle of opportunities, in terms of job and amazing problem-solving skills.

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