DSA in Python Skills you will learn

  • Data Structures
  • Linked lists, stacks, Queues and Trees
  • Big O Notations
  • Hash Maps
  • Search Algorithms

Who should learn this Python DSA Course?

  • Software Engineer
  • Data Scientist
  • Machine Learning Engineer
  • Backend Developer
  • Algorithm Engineer

What you will learn in this Python DSA Course?

  • Data Structures & Algorithms in Python

    • Introduction

      01:42
      • Introduction
        01:42
    • Lesson 1: Foundations

      13:58
      • Foundations
        13:58
    • Lesson 2: Core Data Structures

      15:22
      • Core Data Structures
        15:22
    • Lesson 3: Essential Algorithms

      19:40
      • Essential Algorithms
        19:40

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Why you should learn Data Structures & Algorithms in Python?

$424.01 Billion

Expected size of the global Machine Learning market by 2030.

$163K+ (USA) | INR 10.5 LPA

Average Salary of a Machine Learning Engineer annually.

About the Course

The Data Structures and Algorithms in Python course provides a comprehensive understanding of core data structures like arrays, linked lists, stacks, queues, and trees. You'll explore how to analyze and optimize your code using Big O Notation to assess time and space complexity. Learn how to implement hash maps for fast data retrieval and dive into various search algorithms like linear and binary search to efficiently solve real-world problems.

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FAQs

  • What is the Data Structures and Algorithms in Python course?

    The Data Structures and Algorithms in Python course covers the basics of data structures and algorithms, teaching you how to implement techniques like sorting, searching, recursion, and dynamic programming with Python to solve problems more efficiently.

  • Who should take this Data Structures and Algorithms in Python course?

    This course is ideal for beginner and intermediate programmers, developers looking to deepen their knowledge in data structures, algorithms, and how to use Python to solve real-world problems efficiently.

  • What topics are covered in this Data Structures and Algorithms in Python course?

    The course covers essential topics including arrays, linked lists, stacks, queues, trees, graphs, sorting algorithms, searching algorithms, recursion, and dynamic programming, with a focus on Python implementation.

  • Do I need prior programming experience to take this Data Structures and Algorithms in Python course?

    A basic knowledge of Python is recommended, but no prior experience with data structures or algorithms is required. This course is designed to start with the basics and gradually advance to more complex topics.

  • How long is this Data Structures and Algorithms in Python course?

    This Data Structures and Algorithms in Python course is 1 hour long.

  • Will I get a certificate after completing the Data Structures and Algorithms in Python course?

    After completing this course, you’ll receive a certificate that validate your expertise which can be added onto your resume or LinkedIn profile, highlighting your expertise in data structures and algorithms with Python.

  • How will this Data Structures and Algorithms in Python course help my career?

    Mastering data structures and algorithms is key to acing technical interviews and excelling in competitive programming. By completing this course, you’ll gain the skills to tackle complex coding challenges and sharpen your problem-solving abilities.

  • Is this Data Structures and Algorithms in Python course self-paced?

    Yes, the course is self-paced, so you can learn at your own schedule and access the course materials anytime, anywhere, making it flexible for working professionals and students alike.

  • How are the concepts in Data Structures and Algorithms in Python applied?

    Throughout the course, you will apply data structures and algorithms to solve real-world scenarios, such as optimizing search algorithms, managing data efficiently, and designing systems that scale.

  • What tools or software do I need to take this Data Structures and Algorithms in Python course?

    You’ll need a computer with Python installed. We’ll guide you through setting up your environment, and Python tools like IDEs (such as PyCharm or VS Code) and Jupyter Notebooks for coding assignments.

  • Acknowledgement
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, OPM3 and the PMI ATP seal are the registered marks of the Project Management Institute, Inc.