Data Structures From Scratch from Udemy

Data structure is an efficient way of organizing data and keeping the mess out of your system. This course teaches further about these data structures. The most popular data structures in store data category include binary search trees, hash tables, heaps, and graphs. After learning the codes, you will be able to develop your knowledge side by side with your teacher. There are lot of other courses on data structures so why take this course?? (1. Teaching Style + Side by Side Coding with Theory 2. No use of traditional powerpoint slides)

This course was primarily made for those with basic knowledge of C++ that want to improve in computer science.

What is the working system of this course?

Providing the illustration and examples for better understanding
Easy lectures for beginners
Complete detailed explanation of data structures
Code in C++

What does this course cover?

Arrays
Stacks
Abstract data type
Queues
LinkedList
Recursion
Trees and other algorithms
Hash Tables and Graphs (To be covered soon)

After completing the course, you will have enough knowledge to code these data structures on your own and be confident enough to perform your own data structural operations. Its purpose is to facilitate the introduction to programming and exercise the strategies. When designing or using a library, two things are fundamental: time efficiency operations with objects of classes and memory management. The C ++ is a language that tends to be very effective in these areas. This course is crucial in all these categories and will help you learn in the easiest possible way.

Knowing the basic techniques used during intermediate generation, optimization and code generation expanding programming techniques is the plot of computer science that you will always come back to.

What's inside

Learning objectives

Apply data structure concepts in different applications of computer science
Compare and contrast different data structure based on application
Write their own algorithms and can analyse between different algorithm

Implement various algorithms in programming language
Develop planning skills required for datastructure

Apply data structure concepts in different applications of computer science
Compare and contrast different data structure based on application
Write their own algorithms and can analyse between different algorithm
Implement various algorithms in programming language
Develop planning skills required for datastructure

Syllabus

Slide is uploaded

It will help students in understanding the need of data structures.

This is the beginner level tutorial. You can skip this if you know already know about the arrays.

Slide is attached.

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Uses C++ for implementation, which is a popular language for systems programming and performance-critical applications

Covers arrays, stacks, queues, linked lists, recursion, and trees, which are fundamental data structures in computer science

Includes coverage of trees and binary search trees, which are essential for understanding more advanced data structures and algorithms

Features a section on recursion, which is a core concept in computer science and a powerful technique for solving problems

Includes infix to postfix conversion and postfix evaluation, which are relevant to compiler design and expression parsing

Covers AVL trees, which are self-balancing binary search trees, but the course may benefit from including more modern self-balancing trees

Reviews summary

Foundational data structures and algorithms in c++

According to learners, this course on Data Structures From Scratch offers a solid foundation for those with basic C++ knowledge. Many praise the engaging teaching style and the practical, side-by-side coding approach, finding it highly effective for understanding fundamental structures like arrays and linked lists. While good on basics, some students feel it lacks depth on more complex topics like trees and may need supplementary material. The pacing can feel fast, and transitions abrupt. Overall, it's a valuable starting point but may not be exhaustive.

Some topics listed not yet covered.

"Waiting for the Hash Tables and Graphs modules to be added!"

"Hash Tables and Graphs (To be covered soon)"

Solid introduction to core concepts.

"Good foundational course. Covers the basics well - arrays, lists, stacks, queues."

"The coverage of arrays and linked lists was thorough."

"Covers the core data structures well. The C++ implementation focus is good."

"A strong starting point. The material on arrays and linked lists is well presented."

Instructor explains concepts effectively.

"The instructor explains complex topics like linked lists and recursion with such clarity."

"Excellent course for beginners... The instructor's teaching style is very engaging..."

"Loved this course! The instructor is knowledgeable and passionate."

"Very practical and easy to follow. The instructor breaks down difficult concepts effectively."

Hands-on coding sessions are very helpful.

"The side-by-side coding approach is incredibly helpful. It's great for solidifying understanding."

"Loved this course! ... Coding along made a huge difference. Highly recommend for anyone wanting a practical understanding..."

"Learning to implement these structures in C++ alongside the explanations was key."

"The instructor's teaching style is very engaging, and the hands-on coding sessions helped immensely."

Requires a certain C++ comfort level.

"It assumes a certain level of C++ comfort that I didn't quite have, even though I completed a basic C++ course before."

"Sometimes I felt lost. It assumes a certain level of C++ comfort..."

"This course was primarily made for those with basic knowledge of C++..."

Pacing can be fast and transitions abrupt.

"The explanations are sometimes too brief, and the transitions between topics feel abrupt."

"While I appreciate the lack of slides, a bit more structure or accompanying text would be helpful."

"The pacing felt a bit fast at times."

Complex topics need more detailed coverage.

"...could maybe use a bit more depth on certain topics."

"The trees section was particularly challenging to grasp fully without external resources."

"...the depth isn't always there, especially for more complex structures."

"Felt like I needed supplementary material for a deeper dive."

"It's okay as a first look, but don't expect to become an expert. ...lacks theoretical depth required for interviews."

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 From Scratch with these activities:

Review C++ Fundamentals

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Solidify your understanding of C++ fundamentals, including pointers, classes, and memory management, as this course heavily relies on C++ implementation.

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Review C++ syntax and data types.
Practice writing simple C++ programs.
Study object-oriented programming concepts.

Review 'Data Structures and Algorithms in C++'

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Supplement your learning with a comprehensive textbook on data structures and algorithms in C++, providing deeper insights and alternative explanations.

View Instant Access to the WileyPLUS course + eText... on Amazon

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Read relevant chapters before each corresponding course module.
Work through the examples and exercises in the book.

Implement Data Structures from Scratch

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Reinforce your understanding by implementing the data structures covered in the course from scratch in C++, without relying on built-in libraries.

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Choose a data structure (e.g., linked list, stack, queue).
Implement the basic operations for that data structure.
Test your implementation thoroughly.

Four other activities

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Create Visualizations of Data Structures

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Deepen your understanding by creating visual representations (diagrams, animations) of how different data structures work and how operations modify them.

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Select a data structure and an operation (e.g., inserting into a binary search tree).
Create a visual representation of the data structure before and after the operation.
Add annotations to explain the steps involved.

Build a Simple Application Using Data Structures

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Apply your knowledge by building a small application (e.g., a simple address book, a task manager) that utilizes the data structures learned in the course.

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Choose a simple application to build.
Identify the data structures that would be most suitable for the application.
Implement the application using C++ and the chosen data structures.

Contribute to a Data Structures Library

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Further solidify your understanding and gain practical experience by contributing to an open-source data structures library in C++.

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Find an open-source data structures library on GitHub or GitLab.
Identify a bug or a missing feature that you can contribute.
Submit a pull request with your changes.

Study 'Cracking the Coding Interview'

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Prepare for technical interviews by studying common data structure and algorithm problems presented in 'Cracking the Coding Interview'.

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

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Read the chapters on relevant data structures.
Solve the practice problems at the end of each chapter.

Career center

Learners who complete Data Structures From Scratch 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 on data structures provides a foundational understanding of how to efficiently organize and manipulate data, which is crucial for writing effective and performant code. The course covers arrays, linked lists, stacks, queues, and trees, all essential data structures used in software development. Learning to implement these data structures in C++ makes this course valuable to anyone pursuing a career as a software engineer. The course also covers more advanced topics such as binary search trees and AVL trees.

See salaries and explore the career path for Software Engineer

Algorithm Developer

Algorithm developers design and implement algorithms for various applications, such as search engines, recommendation systems, and machine learning models. This course helps build a strong foundation in data structures, enabling the creation of efficient and effective algorithms. The course covers a wide range of data structures, including arrays, stacks, queues, linked lists, and trees, along with hands-on experience implementing them in C++. The course's practical approach to development makes it helpful for aspiring algorithm developers.

See salaries and explore the career path for Algorithm Developer

Mobile App Developer

Mobile app developers create applications for smartphones and tablets. Efficient data management is crucial for creating responsive and performant mobile apps. This course on data structures provides a foundational understanding of how to efficiently store and manipulate data on mobile devices. The course covers essential data structures, including arrays, linked lists, stacks, queues, and trees, all used extensively in mobile app development. Learning to implement these data structures in C++ makes this course valuable for anyone pursuing a career as a mobile app developer.

See salaries and explore the career path for Mobile App Developer

Game Developer

Game developers create video games for various platforms. A core aspect of game development is efficiently managing game data. This course on data structures provides a solid foundation for storing and manipulating data in games, such as player statistics, game objects, and maps. The course covers essential data structures, including arrays, linked lists, trees, and graphs, all used extensively in game development. Learning to implement these data structures in C++ makes this course valuable for anyone pursuing a career as a game developer.

See salaries and explore the career path for Game Developer

Systems Programmer

A systems programmer develops and maintains operating systems and system software. A deep understanding of data structures is crucial for efficiently managing system resources and optimizing performance. This course provides a comprehensive overview of data structures, including arrays, linked lists, stacks, queues, trees, and hash tables. The hands-on experience implementing these data structures in C++ makes the course especially valuable for aspiring systems programmers. The course also covers topics such as memory management.

See salaries and explore the career path for Systems Programmer

Embedded Systems Engineer

Embedded systems engineers design and develop software for embedded systems, such as those found in automobiles, appliances, and medical devices. This course on data structures provides a solid foundation for managing data within the constraints of embedded systems, where memory and processing power are often limited. The detailed explanations of data structures in this course makes it valuable for future embedded systems engineers. The course's practical approach to development makes it helpful for building skills.

See salaries and explore the career path for Embedded Systems Engineer

Artificial Intelligence Engineer

Artificial intelligence engineers that work in the deep learning space need to have a deep understanding of how to structure data. Much of AI depends on complex data structures. This course on data structures provides a strong foundation for engineers who want to build AI systems. The course covers trees and graphs, which are fundamental to understanding many AI algorithms. Learning to implement these data structures in C++ makes this course valuable for those who want to build AI systems.

See salaries and explore the career path for Artificial Intelligence Engineer

Compiler Writer

Compiler writers develop compilers, which translate high-level programming languages into machine code. Understanding data structures is essential for building efficient compilers. This course helps build a strong foundation in data structures, enabling the creation of effective compilers. The course covers a wide range of data structures, including trees, stacks, and queues. Learning to implement these data structures in C++ makes this course valuable to future compiler writers.

See salaries and explore the career path for Compiler Writer

Blockchain Developer

Blockchain developers build decentralized applications using blockchain technology. Understanding data structures is crucial for efficiently storing and managing data on the blockchain. This course explores various data structures, including hash tables and trees, which are used in blockchain implementations. Understanding the importance of structuring data efficiently makes this course valuable to blockchain developers.

See salaries and explore the career path for Blockchain Developer

Robotics Engineer

Robotics engineers design, develop, and test robots for various applications. A deep understanding of data structures is crucial for programming robots to efficiently process sensor data and navigate their environment. This course provides a comprehensive overview of data structures, including arrays, linked lists, trees, and graphs. The course may be useful for robotics engineers looking to enhance their skills in data management. The course's practical approach to development makes it helpful for enhancing practical knowledge.

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Database Administrator

Database administrators are responsible for managing and maintaining databases, ensuring data integrity, security, and availability. Understanding data structures is essential for designing efficient database schemas and optimizing query performance. This course explores various data structures, including arrays, linked lists, and trees, and provides a solid foundation for understanding how databases store and retrieve data. The coverage of hash tables in this course may be useful for future database administrators.

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Data Scientist

A data scientist analyzes large datasets to extract meaningful insights and develop data-driven solutions. Understanding data structures is essential for efficiently storing, retrieving, and processing data. This course explores various data structures, including arrays, linked lists, and hash tables, and provides hands-on experience implementing them in C++. This course may be useful to future data scientists as they master the skills to analyze data and develop algorithms. The course also covers more advanced topics such as trees and graphs.

See salaries and explore the career path for Data Scientist

Network Engineer

Network engineers design, implement, and maintain computer networks. This course on data structures provides a foundational understanding of how data is organized and transmitted across networks, which is crucial for optimizing network performance and security. The course covers essential data structures, including graphs, which are fundamental to understanding network topologies and routing algorithms. This course may be useful to those who wish to master network engineering skills.

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Web Developer

Web developers create websites and web applications. While web development often involves higher-level frameworks, understanding data structures remains valuable for optimizing performance and building complex features. This course explores various data structures, including arrays, linked lists, and hash tables, providing a solid foundation for understanding how data is stored and manipulated in web applications. This course may be useful for building a strong foundation in data structures for web developers. The coverage of stacks and queues in this course may also be helpful.

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Financial Engineer

Financial engineers use mathematical and computational methods to solve complex financial problems. While not always immediately apparent, data structures play a role in managing and analyzing financial data. This course may be useful to financial engineers as they learn to manage financial data. The course's coverage of arrays and lists may be useful in their work.

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Data Structures From Scratch

What's inside

Learning objectives

Syllabus

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Reviews summary

Foundational data structures and algorithms in c++

Activities

Career center

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