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

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

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(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
- 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.

What's inside

Learning objectives

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.

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.

Syllabus

Basic Stuff

Memory Structure

1. Arrays

Why arrays are required?

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Covers data structures and algorithms using C, C++, and Python, which are widely used in software development and data science, making it highly relevant for practical application

Includes advanced data structures like AVL trees and Splay trees, which are essential for optimizing data storage and retrieval in complex applications

Offers downloadable source code in C, C++, and Python for every program, which facilitates hands-on learning and experimentation

Includes a discussion of time complexities, which is crucial for analyzing and optimizing algorithm performance

Course content is being updated to include JAVA implementations, which may be useful for learners who want to work with other languages

States that the course is useful for coding interviews, which may be helpful for learners who are preparing for job applications

Reviews summary

In-depth dsa with c, c++, python

According to learners, this course offers an excellent and comprehensive foundation in Data Structures and Algorithms. Students frequently praise the instructor's clear explanations and ability to simplify complex topics, making it highly beneficial for beginners and those preparing for coding interviews or academic studies. A distinguishing and much-appreciated feature is the implementation of concepts across C, C++, and Python, which students find deeply reinforces understanding. While the content is widely praised for its depth and detail, a few learners noted that the pace can sometimes feel slow, particularly for those with some prior knowledge. Additionally, the production quality (audio/video) was mentioned by a few as being inconsistent in certain sections. Despite these minor points, the course is considered a highly valuable and recommended resource for mastering DSA.

Recursion explained exceptionally well.

"The recursion sections were particularly well explained, which is usually a difficult topic."

"The recursion module alone is worth the price of admission."

"Master the Most difficult concept "RECURSION"."

Covers wide range from basics to advanced.

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

"A very comprehensive course covering a wide range of DS and Algo topics."

"Covers basics thoroughly and goes into advanced topics like AVL trees."

"Excellent course covering a huge range of DSA topics."

Concepts implemented in C, C++, Python.

"The triple language implementation (C, C++, Python) is a unique and invaluable feature."

"The inclusion of C and C++ alongside Python is great for understanding low-level details."

"Code implementations in three languages reinforce understanding."

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

Instructor explains topics simply and clearly.

"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."

"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."

"The way the instructor breaks down concepts is amazing."

"Most part of the material was complex and instructor found a way to explain it clearly."

Could use more practice problems.

"Could use more challenging practice problems or assignments."

"I wish there were more diverse exercises or projects to apply the concepts learned."

"Mostly lecture-based."

Audio/video quality is inconsistent.

"the video quality and audio could be better in some older sections."

"the production quality (audio/video) is inconsistent. Some parts are clear, others are not great."

Pace is sometimes slow or repetitive.

"sometimes the pace is a bit slow for intermediate learners."

"some explanations feel a bit repetitive."

"Explanations can be long-winded."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Data Structures & Algorithms using C++, C and Python - 2024 with these activities:

Review Pointers in C/C++

Show steps

Reviewing pointers in C/C++ will help you understand how data structures are implemented at a low level, improving your understanding of memory management and algorithm efficiency.

Browse courses on Pointers

Show steps

Read about pointer basics.
Practice pointer arithmetic.
Write code using pointers.

Review 'Introduction to Algorithms' by Cormen et al.

Show steps

Study 'Introduction to Algorithms' to gain a deeper understanding of the theoretical concepts behind data structures and algorithms.

View Introduction to Algorithms, fourth edition on Amazon

Show steps

Read the relevant chapters.
Work through the examples.
Attempt the exercises.

Solve LeetCode problems on Arrays and Linked Lists

Show steps

Practice solving LeetCode problems to reinforce your understanding of arrays and linked lists, which are fundamental data structures covered in the course.

Show steps

Select problems on LeetCode.
Code solutions in C++, C, and Python.
Test and debug your code.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Tutor other students in Data Structures and Algorithms

Show steps

Mentor other students to reinforce your understanding of data structures and algorithms by explaining concepts and helping them solve problems.

Show steps

Offer tutoring sessions.
Prepare explanations and examples.
Provide constructive feedback.

Create a blog post explaining AVL Trees

Show steps

Create a blog post explaining AVL Trees to help solidify your understanding of this advanced data structure and improve your communication skills.

Show steps

Research AVL Trees thoroughly.
Write a clear and concise explanation.
Include diagrams and examples.
Publish your blog post.

Implement a custom data structure library

Show steps

Start a project to implement your own data structure library in C++, C, and Python to solidify your understanding of the concepts and gain practical experience.

Show steps

Choose data structures to implement.
Write code for each data structure.
Test and debug your library.
Document your code.

Review 'Cracking the Coding Interview' by Gayle Laakmann McDowell

Show steps

Study 'Cracking the Coding Interview' to prepare for technical interviews by practicing data structure and algorithm problems.

View Cracking the Coding Interview: 189 Programming... on Amazon

Show steps

Read the relevant chapters.
Solve the practice problems.
Review the solutions.

Career center

Learners who complete Data Structures & Algorithms using C++, C and Python - 2024 will develop knowledge and skills that may be useful to these careers:

Software Engineer

A software engineer designs, develops, and tests software applications. This course helps build a foundation in essential data structures and algorithms, which are critical for optimizing software performance and efficiency. With a strong understanding of these concepts, a software engineer can write better code, solve complex problems more effectively, and design more robust and scalable systems. The course's coverage of C, C++, and Python implementations are valuable, as these are commonly used languages in software development. In particular, the section covering time complexities may be immediately useful.

See salaries and explore the career path for Software Engineer

Algorithm Developer

Algorithm developers design and implement algorithms for solving computational problems. This course helps build expertise in data structures and algorithms, which is directly applicable to this role. The course provides a comprehensive overview of various algorithms, including sorting, searching, and graph algorithms. The course's emphasis on time complexity analysis equips the learner with the skills necessary to design efficient algorithms. Furthermore, the exposure to C, C++, and Python implementations are valuable for algorithm developers, allowing them to choose the most appropriate language for their specific needs.

See salaries and explore the career path for Algorithm Developer

Embedded Systems Engineer

An embedded systems engineer designs and develops software for embedded systems, such as those found in appliances, vehicles, and industrial equipment. This course helps build a strong understanding of data structures and algorithms, which are critical for optimizing performance and resource utilization in embedded systems. The course's coverage of C and C++ implementations are particularly relevant. In embedded systems, memory is often limited and execution speed is critical. The course also teaches time complexities, which helps to optimize an embedded system.

See salaries and explore the career path for Embedded Systems Engineer

Game Developer

Game developers create video games for various platforms. This course helps build a strong foundation in data structures and algorithms, which are essential for optimizing game performance and creating complex game mechanics. The course's coverage of trees, graphs, and searching algorithms are particularly relevant for implementing game world representations, pathfinding, and artificial intelligence. The low level implementations using C and C++ are extremely useful here. Knowledge of time complexities may allow the game developer to implement games that do not lag.

See salaries and explore the career path for Game Developer

Machine Learning Engineer

A machine learning engineer develops and deploys machine learning models. This course helps in becoming proficient with data structures and algorithms, which are crucial for optimizing model performance and scalability. Machine learning algorithms often rely on efficient data handling, and a deep understanding of data structures is essential for choosing the right data structures for a given problem. The coverage of Python implementations is particularly relevant, as Python is the dominant language in machine learning. The course's exploration of dynamic programming may be beneficial for machine learning applications that require optimization algorithms.

See salaries and explore the career path for Machine Learning Engineer

Compiler Designer

Compiler designers develop compilers, which translate high level programming languages into machine code. This course helps by providing a deep understanding of data structures and algorithms, which are essential for compiler construction. The course's coverage of trees, graphs, and parsing algorithms are particularly relevant for syntax analysis and code generation. Since a compiler translates a language, it is important to understand the language, which this course provides with C, C++, and Python. Students typically need a master's degree.

See salaries and explore the career path for Compiler Designer

Data Scientist

Data scientists analyze and interpret complex data to identify trends and patterns. This course may be useful for data scientists by providing a solid understanding of data structures, such as arrays, linked lists, trees, and graphs, which are fundamental for data manipulation and analysis. The 'Data Science Oriented Course' tag suggests that this course is tailored to meet the needs of prospective data scientists. The course also explores various algorithms, including sorting and searching techniques, essential for efficient data processing. Furthermore, the implementations in Python are especially relevant, as Python is a primary language in data science.

See salaries and explore the career path for Data Scientist

Data Architect

Data architects design and implement data management systems. This course provides a strong foundation in data structures and algorithms, which are essential for designing efficient and scalable data storage and retrieval solutions. A data architect should be familiar with a variety of data structures to optimize data access and query performance. The course's coverage of trees, graphs, and hashing are particularly relevant for designing data models and indexing strategies. The course implements the material in C, C++ and Python; this course may be worth taking.

See salaries and explore the career path for Data Architect

Full-Stack Developer

A full stack developer is proficient in both front end and back end development. While the front end does not use data structures and algorithms extensively, the back end does. This course helps by teaching the material important to the back end developer. The discussion of data structures such as arrays, linked lists, stacks, queues, trees, graphs and hash tables may be valuable. The course implements the material in C, C++ and Python. Since the course lists "Applications in many Frontend Development and Backend Development" as one of the outcomes, this course may be worth taking.

See salaries and explore the career path for Full-Stack Developer

Database Administrator

Database administrators manage and maintain databases, ensuring data integrity and availability. This course may be useful by providing a solid understanding of data structures, such as trees and hashing, which are foundational for database design and optimization. Understanding how data is organized and accessed within a database is critical for efficient query processing and performance tuning. The course’s coverage of time complexity analysis are helpful in optimizing database performance. The sections on arrays, stacks, queues, linked lists, and trees may be immediately useful.

See salaries and explore the career path for Database Administrator

Bioinformatician

Bioinformaticians analyze biological data using computational tools and techniques. This course may be useful by providing a solid understanding of data structures and algorithms, which are essential for processing and analyzing large biological datasets. The course's coverage of dynamic programming, graph algorithms, and searching algorithms are particularly relevant for sequence alignment, phylogenetic analysis, and protein structure prediction. In particular, the sections on recursion, arrays, stacks, queues, linked lists, and trees may be immediately useful.

See salaries and explore the career path for Bioinformatician

Robotics Engineer

Robotics engineers design, develop, and test robots and robotic systems. This course may be useful by providing a solid understanding of data structures and algorithms, which are essential for robot control, navigation, and perception. The course's coverage of graphs, trees, and searching algorithms are particularly relevant for path planning and decision making in robotics. This career typically requires an advanced degree. The C and C++ implementations may be especially helpful for real time system development.

See salaries and explore the career path for Robotics Engineer

Cybersecurity Analyst

Cybersecurity analysts protect computer systems and networks from cyber threats. While not immediately obvious, This course may be useful by providing a solid understanding of data structures and algorithms, which are essential for network security, intrusion detection, and malware analysis. The course's coverage of hashing, searching, and sorting algorithms are relevant for identifying and analyzing malicious code. The section on recursion, while not central, may assist in reverse engineering malware. The course implements the material in C, C++ and Python; this course may be worth taking.

See salaries and explore the career path for Cybersecurity Analyst

Quantitative Analyst

Quantitative analysts develop and implement mathematical and statistical models for financial analysis and risk management. This course may be useful by providing a solid foundation in algorithms and data structures, which are essential for implementing complex financial models and simulations. A quantitative analyst typically requires an advanced degree. The course's coverage of time complexity analysis is beneficial for optimizing model performance and efficiency. The heavy math involved in algorithms may appeal to quants.

See salaries and explore the career path for Quantitative Analyst

DevOps Engineer

DevOps engineers automate and streamline software development and deployment processes. This course may be useful by providing a solid understanding of data structures and algorithms, which can be applied to optimize infrastructure management, configuration management, and continuous integration/continuous delivery pipelines. The course implements the material in C, C++ and Python; this course may be worth taking. In particular, the sections on recursion, arrays, stacks, queues, linked lists, and trees may be immediately useful. The course may also assist with automated testing.

See salaries and explore the career path for DevOps Engineer

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

What's inside

Learning objectives

Syllabus

Traffic lights

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Reviews summary

In-depth dsa with c, c++, python

Activities

Career center

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