Data Structures and Algorithms In Python ( DSA )

Data Structures and Algorithms In Python ( DSA ), available at $69.99, has an average rating of 4.15, with 134 lectures, 11 quizzes, based on 670 reviews, and has 2844 subscribers.

You will learn about Understand the details of Data Structures and algorithms (DSA) through animations Learn to write programs for different Data Structures and Algorithms in Python Get the confidence to face programming interviews Test your knowledge with over 100 Quiz questions Learn how to analyse algorithms Get the ability to write and trace recursive algorithms This course is ideal for individuals who are Programmers looking for jobs or Programmers wanting to write efficient code or Computer Science students having Data Structures as part of their curriculum or Non Computer science students wanting to enter IT industry It is particularly useful for Programmers looking for jobs or Programmers wanting to write efficient code or Computer Science students having Data Structures as part of their curriculum or Non Computer science students wanting to enter IT industry.

Enroll now: Data Structures and Algorithms In Python ( DSA )

Summary

Title: Data Structures and Algorithms In Python ( DSA )

Price: $69.99

Average Rating: 4.15

Number of Lectures: 134

Number of Quizzes: 11

Number of Published Lectures: 133

Number of Published Quizzes: 11

Number of Curriculum Items: 145

Number of Published Curriculum Objects: 144

Original Price: $129.99

Quality Status: approved

Status: Live

What You Will Learn

Understand the details of Data Structures and algorithms (DSA) through animations

Learn to write programs for different Data Structures and Algorithms in Python

Get the confidence to face programming interviews

Test your knowledge with over 100 Quiz questions

Learn how to analyse algorithms

Get the ability to write and trace recursive algorithms

Who Should Attend

Programmers looking for jobs

Programmers wanting to write efficient code

Computer Science students having Data Structures as part of their curriculum

Non Computer science students wanting to enter IT industry

Target Audiences

Programmers looking for jobs

Programmers wanting to write efficient code

Computer Science students having Data Structures as part of their curriculum

Non Computer science students wanting to enter IT industry

This “Data Structures and Algorithms In Python” course is thoroughly detailed and uses lots of animations to help you visualize the concepts. 

Instructor is author of popular books “C In Depth” and “Data Structures Through C In Depth” helped 250,000+ students & professionals.

This “Data Structures and Algorithms In Python” tutorial will help you develop a strong background in Data Structures and Algorithms (DSA). The course is broken down into easy to assimilate short lectures, and after each topic there is a quiz that can help you to test your newly acquired knowledge. The examples are explained with animations to simplify the learning of this complex topic. Complete working programs are shown for each concept that is explained.

This Data Structures and Algorithms in Python course provides a comprehensive explanation of data structures like linked lists, stacks and queues, binary search trees, heap, searching and hashing. Various sorting algorithms with implementation and analysis are included in this tutorial.

This Data Structures in Python course covers following topics with Python implementation :

Algorithm Analysis, Big O notation, Time complexity, Singly linked list, Reversing a linked list, Doubly linked list, Circular linked list, Linked list concatenation, Sorted linked list.

Stack, Queue, Circular Queue, Dequeue, Priority queue, Polish Notations, Infix to Postfix, Evaluation of Postfix, Binary Tree, Binary Search Tree, Tree Traversal (inorder, preorder, postorder, level order), Heap, Searching, Hashing

Sorting : Selection, Bubble, Insertion, Shell, Merging, Recursive Merge, Iterative Merge, Quick, Heap, Binary tree, Radix, Address calculation sort

Here is the course content-

Algorithm Analysis

Linked List

Stack and Queue

Binary Tree

Binary Search Tree

Heap

Sorting

Searching

Hashing

Throughout this Data Structures and Algorithms in Python course, a step by step approach is followed to make you understand different Data Structures and Algorithms. You will see code implementation of different data structures in python and algorithms are explained in step-wise manner. Through this course you can build a strong foundation and it will help you to crack Data Structures and Algorithms in Python coding interviews questions and work on projects. Good foundation on Data Structures and Algorithms in Python interview topics helps you to attempt tricky interview questions.

In this Data Structures and Algorithms Through Python In Depth course, Python programs are used for implementing various concepts, but you can easily code them in any other programming language like C++, Java or C#.

This Data Structures and Algorithms In Python online course on udemy will help software developers to refresh the concepts studied in Data Structures and Algorithms In Python book / pdf and also to students learning from referred book / pdf.

This DSA Self Paced course helps students to have great foundation to solve DSA In Python problems. This will help them to solve LeetCode problems and in google faang coding interviews.

What students are saying about this course –

“Very detailed and covers a wide range of topics so far. Great content and explanations. “

“This is an excellent course. One of the best I’ve seen in udemy. The lecturer’s use of visuals is refreshing. Her step-by-step explanations are very clear.”

“The examples are really good, which further make the explaining of concept a lot easier. I would highly recommend this class to whoever has not learned any data structures before. “

“The course meets my expectations. Much of this material is review for me, but I am still learning quite a bit. Deepali’s accent is hard for me to understand at first, but I got use to it fairly quickly. I try to code the examples myself while Deepali is presenting them. I am enjoying the course.”

“I got the C Data Structures book by Deepali Srivastava earlier and it was a great book. So I had no doubt while purchasing this Data Structures course in Python and the course is great. Absolutely 5 star experience.”

“It’s a great course. I love it!”

“good explanation. good lectures”

“Properly explained each and every topic with in-depth knowledge as well as example.happy to take this course”

“The pace is about right and everything is explained clearly and concisely with relevant examples.”

“Excellent stuff!!

“I have been a programmer for a few years, and have learned a lot of these concepts “on the job.” But this is helping give me a much better foundation.”

“Easy language. Understandable. Good use of interactive examples after every theory for explanation.”

“Yes, it was more than what I’ve expected.”

“Excellent teaching and demonstration of the material. It is more beneficial for learners to develop their own codes or at least mimic the ones described in the tutorial. I highly recommend this course for anyone interested in Data Structures and Algorithms”

“She was explaining it quite clearly”

“good explanation. good lectures”

“The instructor has selected the topics very intelligently, so that core of data structures is covered. She does not confuse you with plenty of topics. Also for a given problem the internet is full of code examples that are not very straightforward. The instructor of this course has selected the code examples that are very clear. I am discarding tens of python books in favor of her examples. I wish she finds time to give a second volume of the lessons that can cover more topics.”

So what are you waiting for, click on Buybutton to enroll now and start learning.

Course Curriculum

Lecture 1: Introduction to Data Structures and Algorithms Through Python In Depth

Chapter 1: Introduction to Data Structures and Algorithms

Lecture 1: Important : Source Code Repository required for course

Lecture 2: Data Structures and Algorithms

Lecture 3: Measuring Running time of Algorithms

Lecture 4: Asymptotic Analysis

Lecture 5: Big O Notation

Lecture 6: Finding Big O

Lecture 7: Tight and Loose Upper Bounds

Lecture 8: Big O analysis of Algorithms

Lecture 9: Finding Time Complexity

Lecture 10: Big O analysis of Algorithms: Examples

Lecture 11: Worst case, Best case and Average Case Analysis

Lecture 12: Common Complexities

Lecture 13: Abstract Data Types

Chapter 2: Linked List

Lecture 1: Introduction to Linked List in Python

Lecture 2: Traversing and Searching a Single Linked List

Lecture 3: Finding references in a single linked list

Lecture 4: Difference between while p is not None: and while p.link is not None:

Lecture 5: Insertion in a Single Linked List

Lecture 6: Insertion in a Single Linked List ..contd

Lecture 7: Deletion in a Single Linked List

Lecture 8: Your Review Matters!

Lecture 9: Reversing a Single Linked List

Lecture 10: Sorting a Linked list using Bubble Sort

Lecture 11: Merging of sorted Linked lists

Lecture 12: Sorting a Linked list using Merge Sort

Lecture 13: Finding and Removing a cycle in a Linked list

Lecture 14: Doubly linked list

Lecture 15: Insertion in a doubly linked List

Lecture 16: Deletion from doubly linked list

Lecture 17: Reversing a doubly linked list

Lecture 18: Circular linked list

Lecture 19: Insertion in a circular Linked List

Lecture 20: Deletion in a circular linked list

Lecture 21: Concatenation

Lecture 22: Linked List with Header Node

Lecture 23: Sorted linked list

Chapter 3: Stack and Queue

Lecture 1: Introduction

Lecture 2: Stack

Lecture 3: Array Implementation of Stack

Lecture 4: Linked List Implementation of Stack

Lecture 5: Queue

Lecture 6: Array Implementation of Queue

Lecture 7: Circular Queue

Lecture 8: Linked List implementation of Queue

Lecture 9: Queue through Circular Linked List

Lecture 10: Deque

Lecture 11: Priority Queue

Lecture 12: Checking validity of an expression containing nested parentheses

Lecture 13: Evaluating Arithmetic Expressions

Lecture 14: Polish Notations

Lecture 15: Converting infix expression to postfix expression

Lecture 16: Evaluation of postfix expression

Chapter 4: Binary Tree

Lecture 1: Introduction to trees

Lecture 2: Binary Tree

Lecture 3: Strictly Binary Tree and Extended Binary Tree

Lecture 4: Full binary tree and Complete Binary Tree

Lecture 5: Array Representation of Binary trees

Lecture 6: Linked Representation of Binary Trees

Lecture 7: Binary Tree in Python

Lecture 8: Traversal in Binary Tree

Lecture 9: Preorder Traversal

Lecture 10: Inorder Traversal

Lecture 11: Postorder Traversal

Lecture 12: Level order traversal

Lecture 13: Finding height of a Binary tree

Lecture 14: Constructing Binary tree from Traversals

Lecture 15: Constructing binary tree from inorder and preorder traversals

Lecture 16: Constructing binary tree from inorder and postorder traversals

Chapter 5: Binary Search Tree

Lecture 1: Introduction

Lecture 2: Traversal in Binary Search Tree

Lecture 3: Searching in a Binary Search Tree

Lecture 4: Nodes with Minimum and Maximum key

Lecture 5: Insertion in a Binary Search Tree

Lecture 6: Deletion in a Binary Search Tree

Chapter 6: Heap

Lecture 1: Introduction

Lecture 2: Heap Representation

Lecture 3: Insertion in Heap

Lecture 4: Deletion

Lecture 5: Building a Heap

Lecture 6: Heap Applications

Chapter 7: Sorting

Lecture 1: Introduction to Sorting Algorithms

Lecture 2: Sort Stability

Lecture 3: Selection Sort

Instructors

Deepali Srivastava
Author, Ultimate Python Programming

Rating Distribution

1 stars: 33 votes

2 stars: 22 votes

3 stars: 117 votes

4 stars: 208 votes

5 stars: 290 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!