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Data Structures & Algorithms using C++, C and Python – 2024

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Data Structures & Algorithms using C++, C and Python – 2024, available at $69.99, has an average rating of 4.85, with 222 lectures, 1 quizzes, based on 202 reviews, and has 3164 subscribers.

You will learn about Data Structures and Algorithms for Beginners to Advanced. Detailed discussion on Physical Data Structures like Arrays and Linked Lists. Detailed discussion on Logical Data Structures like Stacks, Queues, Trees, Graphs and Hashing. Play with Searching and Sorting techniques. Learn how to develops the codes from scratch. Master the Most difficult concept "RECURSION". Become Master in writing Algorithms in optimized way. BONUS : AVL Trees ( Advanced Data Structure). Master Dynamic Programming and Graphs. This course is ideal for individuals who are all It is particularly useful for all.

Enroll now: Data Structures & Algorithms using C++, C and Python – 2024

Summary

Title: Data Structures & Algorithms using C++, C and Python – 2024

Price: $69.99

Average Rating: 4.85

Number of Lectures: 222

Number of Quizzes: 1

Number of Published Lectures: 222

Number of Curriculum Items: 224

Number of Published Curriculum Objects: 223

Original Price: ₹7,900

Quality Status: approved

Status: Live

What You Will Learn

  • Data Structures and Algorithms for Beginners to Advanced.
  • Detailed discussion on Physical Data Structures like Arrays and Linked Lists.
  • Detailed discussion on Logical Data Structures like Stacks, Queues, Trees, Graphs and Hashing.
  • Play with Searching and Sorting techniques.
  • Learn how to develops the codes from scratch.
  • Master the Most difficult concept "RECURSION".
  • Become Master in writing Algorithms in optimized way.
  • BONUS : AVL Trees ( Advanced Data Structure).
  • Master Dynamic Programming and Graphs.

Who Should Attend

  • all

Target Audiences

  • all

Are you not confidence in coding. So, what has to change to become master in coding.

You are in right page, first please go through the description.

Thank youfor coming to course page. Hope you seen Demo Videos.

(Highest Rated course)

Data Structures is the basic course for any computer science student. This course discusses every topic from very basics and reach maximum depth possible.

Note : A person with zero knowledge also can understand the course and a expert in data structures and algorithms also can find new techniques and can deep dive.

Everything under one roof  (No Commercial angle):

  • Data structures.

  • Advanced Data Structures Like AVL Trees, Splay Trees.

  • Algorithms.

  • Different strategies for developing algorithms.

  • Time complexities (Exclusive – You will analyze any type of algorithm for time and space complexity after completion).

  • Exclusive Lessons on ‘Recursion’ for both beginners and advanced.

  • Implementation in C language.

  • Implementation in C++ language.

  • Implementation in Python.

  • Solid examples for every topic with simple real world scenarios.

  • Interview Preparation Strategies.

  • Pin point discussion (Every Small topic covered in separate lesson).

  • Line by line code development in C, C++ and Python.

  • Downloadable Source Code in C, C++ and Python for every Program.

  • Medium PACE discussion for every topic.

  • Comparison based discussion with related topics.

  • 40+ hours on-demand video content.

  • 25+ downloadable resources.

  • Data Science Oriented Course.

  • Very Soon every program is going to implement in ‘JAVA’ also.

  • Course is useful for “Coding Interview“.

  • Optimized algorithm discussions for working professionals in IT field.

See the Index how strongly it is designed (Please spend some time to view the every chapter and what way topics are covering).

Approximately 200 Lessons and many more are going to add.

Very Unique feature of this course is every algorithm implemented in both C, C++ and Python languages (JAVA Implementation very SOON).

Don’t see the number of students registered right now Since it started recently. See the content quality and decide. Journey to space also will start with first step.

End of the course you will be able to understand real applications of each data structures and best way to write algorithms with less time and space complexities.

What you will learn :

  • Data Structures :

    • Arrays

    • Stacks

    • Queues

    • Linked lists (Single, Double, Circular and problems)

    • Trees  ( Binary Trees, Binary Search Trees, AVL Trees and Splay Trees along with operations).

    • Graph ( Representations, BFS, DFS).

    • Hashing ( collision resolutions techniques)

  • Algorithms :

    • Asymptotic Notations ( Big Oh, Big Omega, Theta, Small Oh, Small omega).

    • Time Complexity Calculation ( Simple loops, Nested Loops, Recursion)

    • Divide and Conquer Strategy

    • Greedy Method

    • Dynamic Programming

    • Sorting Algorithms ( Bubble Sort, Selection Sort, Insertion Sort, Quick Sort, Merge Sort, Heap Sort)

    • Searching algorithms ( Linear Search, Binary Search).

    • Miscellaneous Topics

Moreover, Once you buy the course, it’s yours. We update the content regularly, and all the updates come to you for free in the one-time purchase you make.

That means with your one-time purchase you will have lifetime access to new tutorial added to the course.

Who this course is for:

  • For everyone

  • Academic Students.

  • Interview Preparation Persons.

  • Competitive Exam Preparation Aspirants.

  • Anyone interested in Data Structures and Algorithms.

  • Those who want to become a highly paid coding developer.

  • Those who want to open up doors in your IT career by learning one of the world’s most popular and in-demand programming.

What you can do after completing this course!!

  • Data Science

  • Artificial Intelligence

  • Deep Learning

  • Applications in many Frontend Development and Backend Development.

Some Testimonials :

Joseph

Rating: 5.0

Mr. Atchyut Kumar does an excellent job of thoroughly explaining each method data structure. He shows with plenty of detailed examples, making it very easy to understand. He doesn’t go straight to the solution, he explains things in a way that make it easy to understand with charts and very descriptive diagrams. It makes for very easy learning. You won’t be disappointed.

Deekshit kumar

Rating: 5.0

One of the best teachers I’ve ever had! He is a masterful lecturer and is very good at explaining topics even for the Beginners. I hope he decides to make more Computer Science courses.

Ravi Kumar

Rating: 5.0

The course was great. Great part of his course is every concept explaining in all possible directions. Always starting from very basic and going very deep as much as possible. Most part of the material was complex and instructor found a way to explain it clearly. A lot of examples were provided were discussed for every concept. Highly recommended course!

Important information before you enroll!

  • If you find the course is not useful for your career, don’t forget you are covered by a 30-day money back guarantee.

  • Once enrolled, you have unlimited, 24/7, lifetime access to the course (unless you choose to drop the course during the first 30 days).

  • You will have instant and free access to any updates I’ll add to the course – video lectures, additional resources, quizzes, exercises.

  • You will benefit from my full support regarding any question you might have 7 days a week, This is not just a programming course, You will play with data structures and algorithms in C and Python.

  • Check out the promo video at the top of this page and some of the free preview lectures in the curriculum to get a taste of my teaching style and methods before making your decision.

ALL THE BEST FOR YOUR BRIGHT FUTURE.

Course Curriculum

Chapter 1: Basic Stuff

Lecture 1: Memory Structure

Chapter 2: 1. Arrays

Lecture 1: Why arrays are required?

Lecture 2: Arrays Introduction and One Dimensional Arrays.

Lecture 3: C Code : One Dimensional Arrays Implementation

Lecture 4: C++ Code : One Dimensional Arrays Implementaiton.

Lecture 5: Python Code : One Dimensional Arrays Implementation

Lecture 6: Two Dimensional Arrays Introduction

Lecture 7: Row Major Order – 1

Lecture 8: Row Major Order – 2

Lecture 9: C Code : Two Dimentional Array – Row Major Order

Lecture 10: Python Code : Two Dimentional Array – Row Major Order

Lecture 11: Column Major Order – 1

Lecture 12: Column Major Order – 2

Lecture 13: Extra Stuff on Arrays : Lower Triangular Matrix

Lecture 14: Extra Stuff on Arrays : Tridiagonal Matrix

Lecture 15: Extra Stuff on Arrays : Toeplitz Matrix

Chapter 3: 2. Stacks

Lecture 1: Stack Introduction

Lecture 2: Stack Implementaion by using Arrays : Push() Operation.

Lecture 3: Stack Implementation by using Arrays : Pop() operation.

Lecture 4: C Code : Stacks Implementation using Arrays : Push(), Pop(), TopOfStack().

Lecture 5: C++ Code : Stacks Implementation using Arrays : Push(), Pop(), Display().

Lecture 6: Python Code : Stacks Implementation using Arrays : Push(), Pop(), Display

Lecture 7: Python Code : Stacks Implementation using Arrays : Push(), Pop(), Display().

Lecture 8: Associativity and Precedence

Lecture 9: Converting to Prefix and Postfix notation from Infix

Chapter 4: 2.1 Recursion : Exclusive

Lecture 1: Writing Recursive Code

Lecture 2: Evaluation of Recursive code by using Recursive Tree

Lecture 3: Example 1 : Recursive code Evaluation by using Recursive Tree

Lecture 4: Constructing Recursive Tree

Lecture 5: Example 2 : Recursive code Evaluation by using Recursive Tree

Lecture 6: Printing Array Elements using Recursion

Lecture 7: Finding Time Complexity from Recursive Equation by using Substitution Method

Lecture 8: Recursive code for Multiplication and Division

Lecture 9: Time Complexity for Fibonacci Series using Recursive Tree

Lecture 10: Finding Time Complexity from Recursive Equation by using Substitution Method

Lecture 11: Finding Time Complexity from Recursive Equation by using Substitution Method

Chapter 5: 3. Queues

Lecture 1: Queue Inroduction.

Lecture 2: Enqueue Operation

Lecture 3: Dequeue Operation

Lecture 4: C Code : Queue Implementation – Enqueue and Dequeue.

Lecture 5: C++ Code : Queue Implementation – Enqueue and Dequeue.

Lecture 6: Python Code : Queue Implementation – Enqueue and Dequeue.

Lecture 7: Drawbacks in Normal Queues.

Lecture 8: Circular Enqueue Operation

Lecture 9: Circular Dequeue Operation

Lecture 10: C Code : Circular Queue – Enqueue and Dequeue.

Lecture 11: C++ Code : Circular Queue – Enqueue and Dequeue.

Chapter 6: 4. Linked Lists

Lecture 1: Single Linked List Introduction and Structure Creation

Lecture 2: Single Linked List : Node Creation Physically in Memory

Lecture 3: Single Linked List : Insertion – Beginning

Lecture 4: Single Linked List : Insertion – Ending

Lecture 5: Single Linked List : Insertion – Middle

Lecture 6: C Code : Insertion – Beginning, Middle and Ending.

Lecture 7: C++ Code : Insertion – Beginning, Middle and Ending.

Lecture 8: Python Code : Insertion – Beginning, Middle and Ending.

Lecture 9: Single Linked List : Deletion – Beginning and Ending

Lecture 10: Single Linked List : Deletion – Middle

Lecture 11: C Code : Deletion – Beginning, Middle and Ending.

Lecture 12: C++ Code : Deletion – Beginning , Middle and Ending.

Lecture 13: Python Code : Deletion – Beginning, Middle and Ending.

Lecture 14: Single Linked List : Traversing

Lecture 15: Single Linked List : Reversing

Lecture 16: Question 1 : Single Linked List

Lecture 17: Circular Single Linked Lists : Introduction

Lecture 18: Circular Single Linked Lists : Insertion – Beginning

Lecture 19: Circular Single Linked Lists : Insertion – Ending

Lecture 20: Circular Single Linked Lists : Deletion – Beginning

Lecture 21: Circular Single Linked Lists : Deletion – Ending

Lecture 22: C Code : Circular Single Linked Lists : Insertion – Beginning, Middle, Ending.

Lecture 23: C Code : Circular Single Linked Lists : Deletion – Beginning, Middle, Ending

Lecture 24: Python Code : Cricular Single Linked Lists -Insertion – Beginning, Middle,Ending

Lecture 25: Python Code :Circular Single Linked Lists – Deletion Beginning, Middle, Ending

Lecture 26: Double Linked List : Introduction and Node Definition.

Lecture 27: Double Linked List : Node Creation

Lecture 28: Double Linked List : Insertion – Beginning

Lecture 29: Double Linked List : Insertion – Middle

Lecture 30: Double Linked List : Insertion – Ending

Lecture 31: C Code : Double Linked List : Insertion – Beginning, Middle, Ending

Lecture 32: C++ Code : Double Linked List : Insertion – Beginning, Middle, Ending

Lecture 33: Python Code : Double Linked Lists : Insertion – Beginning, Middle, Ending.

Lecture 34: Double Linked List : Deletion – Beginning

Lecture 35: Double Linked List : Deletion – Ending

Lecture 36: Double Linked List : Deletion – Middle

Lecture 37: C Code : Double Linked List : Deletion – Beginning, Ending and Middle

Lecture 38: C++ Code : Double Linked Lists : Deletion – Beginning, Middle, Ending.

Lecture 39: Python Code : Double Linked List : Deletion – Beginning, Ending and Middle

Lecture 40: Stack Implementation using Linked List

Lecture 41: Queue Implementation using Linked List

Lecture 42: Extra Stuff : Linked Lists nodes count – with loops

Lecture 43: Extra Stuff : Linked Lists nodes count – with Recursion

Chapter 7: 5. Binary Trees

Lecture 1: Binary Trees : Introduction

Lecture 2: Binary Trees : Traversing Basic

Instructors

Rating Distribution

  • 1 stars: 2 votes
  • 2 stars: 3 votes
  • 3 stars: 23 votes
  • 4 stars: 40 votes
  • 5 stars: 134 votes

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