Learn Data Structures and Algorithms using c++ from Udemy

This course Data Structures and Algorithms in C++ focus on building concepts of students in this domain.Data Structures like Trees, Linked list and others are explained in depth so that students have better understanding of these topics and coding lectures are helpful in getting depth understanding.

Coding lectures beside graphical explanation in this course make it easier to understand things in Data structures.Algorithms are explained and coded so that students learn better.So this course is for students who want to learn in fun and easy way, and get understanding of things in Data Structures and Algorithms.

Advanced topics like BST in Tree section is elaborated in this course.

Topics like BST and Linked List are in very detail so that you can have good grip over them and they are of core importance.

There are visual animations to help you understand topics better, so beside code visual explanations help a lot.

Topics like BST C++ and Linked List C++ need extra care to understand well, but if learned correctly can help.

Similarly Selection Sort, Insertion Sort using C++ are explained in code and visually.

Taking this course you will be good in a lot of topics in Data structures in C++Stay Blessed

What's inside

Learning objectives

Linear and non-linear data structures
Non-linear data structures like trees, binary search trees
Algorithms like selection sort and insertion sort with visual description of working of these algorithms

Data structures like linked lists, stack, queue, array, 2d arrays, bst.
Grip over multiple data structures and algorithms.

Linear and non-linear data structures
Non-linear data structures like trees, binary search trees
Algorithms like selection sort and insertion sort with visual description of working of these algorithms
Data structures like linked lists, stack, queue, array, 2d arrays, bst.
Grip over multiple data structures and algorithms.

Syllabus

Linked List and Introduction to Data Structures in C++

Data Structures introduction

Linked List Explanation

Node of a Singly Linked List

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Explores trees and linked lists in depth, which are fundamental concepts for understanding more complex data structures and algorithms

Uses visual animations to explain topics, which can help learners grasp abstract concepts more easily and improve their understanding

Covers selection sort and insertion sort using C++, which are foundational sorting algorithms often taught in introductory programming courses

Focuses on BST and linked lists in detail, which are core data structures with wide applications in software development and computer science

Teaches C++, which is a widely used programming language in industry and academia for developing high-performance applications and systems software

Includes stack and queue implementations, which are essential data structures for managing data flow and implementing various algorithms

Reviews summary

Learn ds/a fundamentals with c++

According to learners, this course provides a solid foundation (positive) in fundamental data structures and algorithms using C++. Many students found the explanations of core concepts like Linked Lists and Trees to be very clear (positive) and appreciated the use of helpful visual animations (positive) that aid understanding. The course is frequently cited as an excellent starting point for beginners (positive) in these topics, especially when using C++. However, some learners noted that while the basics are covered well, the course tends to lack depth (warning) in more advanced areas and could benefit from covering a wider range of algorithms beyond just selection and insertion sort. Overall, it's seen as a great introductory resource, particularly for those new to the subject or seeking a gentle introduction, though it may not suffice for those needing advanced mastery.

Coding lectures reinforce concepts.

"The coding lectures were helpful in getting depth understanding."

"Writing the code alongside the explanations solidified my knowledge."

"I liked that the algorithms were explained *and* coded."

"Coding examples made the theoretical concepts much clearer and practical."

Visual aids enhance understanding.

"The visual animations really helped me grasp how algorithms like insertion sort work step-by-step."

"Seeing the data structures visualized made a huge difference in my understanding."

"The graphical explanation besides coding lectures were extremely helpful."

"I appreciate the effort put into creating the visual demos for topics like BST."

Excellent starting point for DS/A.

"This course is a fantastic introduction to data structures and algorithms for someone starting out."

"As a complete beginner, I found this course approachable and not overwhelming."

"If you're new to C++ and DS/A, this is a great place to start your journey."

"It's a great course for someone with little to no prior knowledge in this domain."

Concepts explained simply and clearly.

"The explanations of fundamental concepts like linked lists were very clear and easy to follow."

"I found the way the instructor broke down complex ideas into simple steps incredibly helpful."

"This course offers very clear explanations of basic data structures and algorithms concepts."

Lacks coverage on advanced topics.

"While basics are covered well, the course doesn't go deep enough into topics like BST deletion or efficiency analysis."

"I was hoping for more advanced algorithms than just selection and insertion sort."

"Could use more in-depth coverage on complex topics or optimization techniques."

"The course is a good start but doesn't cover advanced DSA concepts needed for competitive programming or 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 Learn Data Structures and Algorithms using c++ with these activities:

Review C++ Fundamentals

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Solidify your understanding of C++ syntax, data types, and control structures. This will provide a strong foundation for understanding the C++ implementations of data structures and algorithms covered in the course.

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Review basic C++ syntax and data types.
Practice writing simple C++ programs.
Complete online C++ tutorials and exercises.

Review 'Data Structures and Algorithms in C++' by Adam Drozdek

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Deepen your understanding of data structures and algorithms with a comprehensive textbook. This will provide a more in-depth explanation of the concepts covered in the course.

View Data Structures and Algorithms in C++ on Amazon

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Read relevant chapters before each corresponding course module.
Work through the examples and exercises in the book.
Compare the book's implementations with those presented in the course.

Implement Linked List Operations

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Reinforce your understanding of linked lists by implementing various operations. This will help you solidify your knowledge of linked list manipulation and memory management in C++.

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Implement insertion, deletion, and search operations.
Test your implementation with various test cases.
Debug and refine your code for optimal performance.

Four other activities

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Help Others on Forums

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Reinforce your understanding by helping others learn. Explaining concepts to others solidifies your own knowledge and identifies areas where you may need further clarification.

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Find online forums or communities related to C++ data structures and algorithms.
Answer questions and provide explanations to other learners.
Share your code and insights to help others solve problems.

Create a Visual Guide to BST Traversal

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Solidify your understanding of BST traversal methods by creating a visual guide. This will require you to deeply understand the logic behind each traversal method and communicate it effectively.

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Choose a visual medium (e.g., presentation, video, infographic).
Illustrate the steps involved in preorder, inorder, and postorder traversal.
Explain the purpose and applications of each traversal method.

Build a Simple Sorting Algorithm Visualizer

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Apply your knowledge of sorting algorithms by building a visualizer. This will help you understand the step-by-step execution of each algorithm and compare their performance.

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Choose a sorting algorithm (e.g., selection sort, insertion sort).
Implement the algorithm in C++.
Create a visual representation of the sorting process.
Allow users to input data and visualize the sorting steps.

Review 'Cracking the Coding Interview' by Gayle Laakmann McDowell

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Prepare for technical interviews by practicing data structure and algorithm problems. This will help you apply your knowledge in a practical setting and improve your problem-solving skills.

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

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Solve problems related to linked lists, trees, and sorting algorithms.
Analyze the time and space complexity of your solutions.
Compare your solutions with the book's solutions.

Career center

Learners who complete Learn Data Structures and Algorithms using c++ will develop knowledge and skills that may be useful to these careers:

Software Developer

A software developer designs, develops, and tests software applications. This course helps build a foundation in data structures and algorithms using C++, which are fundamental concepts for efficient software development. Understanding linked lists, stacks, queues, trees, and sorting algorithms like selection sort and insertion sort will assist a software developer in writing optimized code and solving complex problems. The course's focus on Binary Search Trees and linked lists, in particular, helps one to implement efficient data management in applications. Learning through coding lectures and visual explanations helps build a deep understanding of the principles required for developing robust software.

See salaries and explore the career path for Software Developer

Algorithm Engineer

An algorithm engineer designs and implements algorithms for various applications, often focusing on optimization and efficiency. This course provides a strong foundation in data structures and algorithms using C++, which are essential for this role. In particular, insights into binary search trees, linked lists, and sorting algorithms are directly applicable to designing and implementing efficient algorithms. This course helps algorithm engineers understand the complexities and trade-offs involved in algorithm design. The course's visual explanations and coding lectures facilitate a deeper understanding of these critical concepts. An algorithm engineer will find that this course is extremely helpful.

See salaries and explore the career path for Algorithm Engineer

Data Scientist

A data scientist analyzes large datasets to extract meaningful insights and make data-driven decisions. This course helps build a foundation in data structures and algorithms, which are crucial for efficient data manipulation and analysis. Knowledge of trees, linked lists, stacks, and queues enables a data scientist to process and manage data effectively. The visual animations and coding lectures featured in the course provide a practical understanding of these concepts. Furthermore, understanding sorting algorithms like selection sort and insertion sort helps a data scientist to organize and analyze data more efficiently. A data scientist benefits from this course.

See salaries and explore the career path for Data Scientist

Game Developer

A game developer creates video games for various platforms. This course helps build a foundation in data structures and algorithms, which are crucial for optimizing game performance. Understanding trees, linked lists, stacks, and queues enables a game developer to manage game entities, levels, and other game data efficiently. The course's focus on binary search trees and linked lists assists in creating optimized game data structures. The visual animations and coding lectures featured in the course helps build a practical understanding of these concepts. Additionally, knowledge of sorting algorithms like selection sort and insertion sort allows a game developer to organize game elements effectively. A game developer should consider this course.

See salaries and explore the career path for Game Developer

Database Developer

A database developer designs, implements, and maintains databases. This course helps build a foundation in data structures and algorithms which support those databases, making it very helpful for a database developer. Understanding trees, linked lists, stacks, and queues enables a database developer to manage data efficiently and optimize database queries. The course's focus on binary search trees and linked lists assists in creating efficient data storage and retrieval mechanisms. The visual animations and coding lectures featured in the course provide a practical understanding of these concepts. This knowledge is valuable for designing and implementing robust and scalable database systems. A database developer benefits from taking this course.

See salaries and explore the career path for Database Developer

Systems Programmer

A systems programmer develops and maintains operating systems and system software. This course helps build a foundation in data structures and algorithms, which are fundamental for efficient system-level programming. Understanding trees, linked lists, stacks, and queues enables a systems programmer to manage system resources efficiently. The course's focus on binary search trees and linked lists assists in creating optimized system data structures. The visual animations and coding lectures featured in the course provide a practical understanding of these concepts. Sorting algorithms like selection sort and insertion sort also support system-level tasks. A systems programmer might find that this course is quite useful.

See salaries and explore the career path for Systems Programmer

Embedded Systems Engineer

An embedded systems engineer designs and develops software for embedded systems, such as those found in appliances and automobiles. This course may be useful in building a foundation in data structures and algorithms, which are important for efficient resource management in embedded systems. Understanding linked lists, stacks, queues, and trees helps an embedded systems engineer optimize memory usage and processing speed. The visual animations and coding lectures featured in the course provide a practical understanding of these concepts. Knowledge of sorting algorithms like selection sort and insertion sort can also be applied to embedded systems programming. An embedded systems engineer can consider this course.

See salaries and explore the career path for Embedded Systems Engineer

Robotics Engineer

A robotics engineer designs, builds, and programs robots. This course may be useful in building a foundation in data structures and algorithms, which are crucial for robot control and navigation. Understanding trees, linked lists, stacks, and queues helps a robotics engineer manage sensor data and plan robot movements efficiently. The course's focus on binary search trees and linked lists can assist in creating optimized robot control algorithms. The visual animations and coding lectures featured in the course provide a practical understanding of these concepts. Sorting algorithms like selection sort and insertion sort can also be applied to robot data processing. This course might be helpful to the robotics engineer.

See salaries and explore the career path for Robotics Engineer

Bioinformatics Scientist

A bioinformatics scientist analyzes biological data using computational techniques. This course may be useful for building a foundation in data structures and algorithms, which are important for processing and analyzing large biological datasets. Understanding linked lists, stacks, queues, and trees helps a bioinformatics scientist manage biological data efficiently. The course's focus on binary search trees and linked lists can assist in creating optimized data structures for biological databases. The visual animations and coding lectures featured in the course provide a practical understanding of these concepts. A bioinformatics scientist might find this course useful to them.

See salaries and explore the career path for Bioinformatics Scientist

Quantitative Analyst

A quantitative analyst develops and implements mathematical models for financial analysis. This course may be useful in building a foundation in data structures and algorithms, which can be helpful for managing and processing financial data efficiently. Understanding linked lists, stacks, queues, and trees helps a quantitative analyst optimize data storage and retrieval. The visual animations and coding lectures featured in the course may provide a practical understanding of these concepts. Sorting algorithms like selection sort and insertion sort can also be applied to financial data analysis. A quantitative analyst might consider this course.

See salaries and explore the career path for Quantitative Analyst

Data Analyst

A data analyst collects, cleans, and analyzes data to provide insights and support decision-making. While this role often involves using statistical software, understanding the underlying data structures can be beneficial. The course that explores data structures and algorithms using C++ may be useful for building a foundational understanding of how data is organized and manipulated. A data analyst may find the explanations of linked lists, stacks, queues, and trees to be useful. This course may also help to understand how sorting algorithms work.

See salaries and explore the career path for Data Analyst

Web Developer

A web developer builds and maintains websites and web applications. While web development often involves using high-level frameworks, understanding the underlying data structures and algorithms may be useful for optimizing performance. This course may provide some foundational knowledge in this area. A web developer may find the course's explanations of linked lists, stacks, and queues helpful. This course may also help with understanding how sorting algorithms work.

See salaries and explore the career path for Web Developer

Network Engineer

A network engineer designs, implements, and manages computer networks. This course may be useful for understanding how data is structured and transmitted across networks. A network engineer may find the course's explanations of trees and queues helpful in understanding network topologies and data flow. This course may help with developing a basic understanding of data organization.

See salaries and explore the career path for Network Engineer

Technical Writer

A technical writer creates documentation for software and hardware products. This course may be useful in gaining a deeper understanding of the technical concepts they are documenting. A technical writer might find the course's explanations of data structures and algorithms helpful in writing clear and accurate documentation. This course may also help with gaining a basic understanding of software development principles.

See salaries and explore the career path for Technical Writer

IT Support Specialist

An IT support specialist provides technical assistance to computer users. This course may be useful for gaining a basic understanding of how computers store and process data. Even though the role is more focused on applications, a baseline understanding may be helpful. An IT support specialist might find the course's explanations of data structures useful in troubleshooting software issues. This course may help with gaining a better understanding of computer science concepts.

See salaries and explore the career path for IT Support Specialist

Learn Data Structures and Algorithms using c++

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What's inside

Learning objectives

Syllabus

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Reviews summary

Learn ds/a fundamentals with c++

Activities

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