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Data Structures and Algorithms with Python

Data Structures and Algorithms with Python

12.2 hrs 1 project

Learn core data structures and algorithms in this DSA using Python course. Covers stacks, queues, trees, and sorting with a hands-on warehouse project and quiz to strengthen problem-solving skills.

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Course outline

Industry focussed curriculum designed by experts

Foundations of Python and Fundamental Data Structures

5 videos

In this module, you will learn the data structures used in Python like List, Tuples, Set, Dictionary etc. also its practical implementations.

5 items

1.22 hr

  • Course Overview
  • Introduction and Foundations of Python
  • List
  • Tuple
  • Dictionary
  • Set
  • Strings

Stack and Queue in Python

6 videos

In this module, you will understand how to implement the operations on Stack and Queue using Python.

6 items

0.42 hr

  • Stack IsEmpty - Implementation
  • Push - Implementation
  • Pop - Implementation
  • Queue IsEmpty - Implementation
  • Enqueue - Implementation
  • Dequeue - Implementation

Linked Lists

4 videos

In this module, you will examine the usage of linked list and how it will manage dyamic memory efficiently.

4 items

0.29 hr

  • Introduction to LinkedList
  • Declaration and Initialization
  • LinkedList Insertion - Implementation
  • LinkedList Deletion - Implementation

Trees and Binary Search Trees

9 videos

In this module, you will learn how hierarchical data structures work in a binary search tree with implementation.

9 items

0.35 hr

  • Tree Traversal Implementation
  • Tree Traversal Pseudocode
  • BST - Insertion Pseudocode
  • BST - Insertion Implementation
  • BST - Searching Algorithm
  • BST - Searching Pseudocode
  • BST - Searching Implementation
  • BST - Deletion Pseudocode
  • BST - Deletion Implementation

Traversals, Heaps and Priority Queues

4 videos

In this module, you will explore the traversals, basics of heaps, types of heaps, and priority queues.

4 items

0.19 hr

  • Level Order Traversal - Pseudocode
  • Level Order Traversal - Searching
  • Level Order Traversal - Implementation
  • Heaps and Priority Queues

Introduction to Algorithms

16 videos

In this module, you will discover the fundamentals of algorithms, how complex problems are measured and solved using the parameters related to algorithms.

16 items

3.03 hr

  • What is an Algorithm
  • Classification of Algorithms
  • Algorithmic Analysis
  • Types of Algorithmic Analysis
  • Need to learn Complexity Theory
  • Time Complexity
  • Worst case Time Complexity
  • Space Complexity
  • Complexity Theory
  • P and NP
  • NP-Complete and NP-Hard
  • Travelling Salesman Problem
  • Introduction to Recursion
  • Problem Solving on Recursion
  • Time Complexity-2
  • Space Complexity-2

Searching Algorithms

6 videos

In this module, you will understand different ways to search elements with algorithms like linear, binary etc.

6 items

0.48 hr

  • Linear Search
  • Linear Search - Implementation
  • Binary Search
  • Binary Search - Implementation
  • Three Sum - Problem
  • Three Sum - Implementation

Sorting Algorithms

27 videos

In this module, you will learn techniques to sort elements with various sorts like bubble, selection, insertion, quick, etc.

27 items

3.16 hr

  • Introduction to Sorting
  • Bubble Sort vs Selection Sort vs Insertion Sort
  • Introduction to Bubble Sort
  • Bubble Sort - Pseudocode
  • Bubble Sort - Analysis
  • Bubble Sort - Implementation
  • Introduction to Selection Sort
  • When to use Selection Sort
  • Selection Sort - Pseudocode
  • Selection Sort - Analysis
  • Selection Sort - Implementation
  • Introduction to Insertion Sort
  • When to use Insertion Sort
  • Insertion Sort - Pseudocode
  • Insertion Sort - Analysis
  • Insertion Sort - Implementation
  • Introduction to Merge Sort
  • When to use Merge Sort
  • Merge Sort - Pseudocode
  • Merge Sort - Implementation
  • Introduction to Quick Sort
  • When to use Quick Sort
  • Quick Sort - Analysis
  • Quick Sort - Implementation

Divide and Conquer

4 videos

In this module, you will gain a fundamental understanding of how complex problems can be broken into smaller parts and resolved.

4 items

0.41 hr

  • Introduction to Divide & Conquer
  • Calculating Time Complexity
  • Advantages & Disadvantages
  • Divide & Conquer - Application

Greedy Algorithms

6 videos

In this module, you will understand how to solve problem using the greedy approach by making locally optimal choices.

6 items

1.03 hr

  • Introduction to Greedy Algorithm
  • Working of Greedy Algorithm
  • Greedy Problem1
  • Greedy Problem2
  • Greedy Problem3
  • Application of Greedy Algorithm

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Guided Projects

Solve real-world projects with a step-by-step guide, starter code templates, and access to model solutions to boost your skills and build a standout resume.

  • GUIDED PROJECT 1
  • Warehouse Package Sorting System
  • In this project, you have been tasked with developing a system for a warehouse that sorts incoming packages based on priority and size. The warehouse has different zones, and each zone can only accommodate a certain number of packages. The goal is to optimize the sorting process to minimize time and maximize space efficiency.
Problem-Solving with Algorithms
Efficient Data Management
Algorithm Optimization
Recursion and Divide-and-Conquer
Python Programming Proficiency

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Course Instructors

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Mr. Vishwa Mohan

Staff Engineer @ LinkedIn | IIT Grad | Technology enthusiast | Mentor | Public Speaker

Mr. Vishwa Mohan is currently working as Staff Engineer at @LinkedIn India. He has over 10 years of experience working with multiple MNCs, with the expertise on scaling systems. Mr. Mohan has also been mentoring students and working professionals in getting their dream jobs.

Data Structures and Algorithms with Python

12.2 hrs 1 project

Data Structures and Algorithms with Python

12.2 hrs 1 project
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