Mastering critical SKILLS in Data Structures using C++ from Udemy

Almost all other courses focus on knowledge. In this course, we focus on gaining real skills.

Overall:

The course covers basic to advanced data structures
Learn the inner details of the data structures and their time & memory complexity analysis
Learn how to code line-by-line
Source code and Slides and provided for all content
An extensive amount of practice to master the taught data structures (where most other content fails. )
- ~180 problems from easy to hard.

Content:

Asymptotic Complexity
Vector
Singly Linked List
Doubly Linked List
Project: Sparse Array and Matrix
Stack
Queue
Binary Tree
Binary Search Tree
Binary Heap
AVL Tree
Letter Tree (Trie)
Hash Table
Extensive Homework sets with video solutions

Teaching Style:

Instead of long theory then coding style, we follow a unique style
I parallelize the concepts with the codes as much as possible
Go Concrete as possible
Use Clear Visualization

By the end of the journey

Solid understanding of Data Structures topics in C++
Mastering different skills
- Analytical and Problem-Solving skills
- Clean coding for data structures
- Black-box applying on DS
With the administered problem-solving skills
- You can start competitive programming smoothly [DS type]
- Smooth start in Algorithms course
- One more step toward interviews preparation

Prerequisites

Programming Skills:
- Up to arrays & functions
- Comfortable with recursive functions
- Comfortable with pointers
- Basics of OOP: Just Class, Private and Public Sections.
Preferred:
- Learning and using STL
- Project Building Skills
- Basic Programming Problem-Solving Skills

It is going to be a transformative experience. Please read reviews to get a flavour of that. It is not going to be easy work. It will be Stanford-like course. You can skip homework if you want easier or shorter learning experience.

Don't miss such a unique learning experience.

What's inside

Learning objectives

Learn from basic to advanced data structures
~180 explained problems from easy to medium to hard + quizzes
Well-written and modular short codes
Short but very informative and deep material

A fundamental step toward improving problem solving skills
A fundamental step toward interviews preparation
Algorithms course should be an easier learning experience

Learn from basic to advanced data structures
~180 explained problems from easy to medium to hard + quizzes
Well-written and modular short codes
Short but very informative and deep material
A fundamental step toward improving problem solving skills
A fundamental step toward interviews preparation
Algorithms course should be an easier learning experience

Syllabus

Vector Homework - 5 Medium Challenges

Vector Homework - Solutions

Getting Started

What is a Data Structure?

From Algorithms course, but the same perspective.

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Provides extensive practice with approximately 180 problems, ranging from easy to hard, which is ideal for mastering data structures

Offers a fundamental step toward interview preparation, focusing on data structures and problem-solving skills, which are highly valued in the tech industry

Requires familiarity with arrays, functions, recursion, pointers, and basic OOP concepts, making it suitable for learners with some programming experience

Aims to develop analytical and problem-solving skills through hands-on coding and mastering data structures, which are transferable to other domains

Focuses on mastering data structures using C++, which is a widely used language in software development and competitive programming

Prepares learners for algorithms courses by building a solid understanding of data structures, which are fundamental building blocks in algorithm design

Reviews summary

Rigorous data structures in c++

According to learners, this course offers a rigorous and in-depth exploration of data structures using C++. Many highlight the extensive collection of practice problems as a significant strength, which helps in building analytical and problem-solving skills essential for coding interviews and competitive programming. The instructor's method of teaching, closely coupling concepts with code, is often found to be effective for understanding implementation details. However, students consistently mention that the course is very challenging and requires a solid background in C++, potentially more than the stated prerequisites cover. While demanding, it is often described as a transformative learning experience for those who commit the necessary time and effort.

Clear explanations coupled with code.

"The instructor's way of explaining complex topics is very clear and insightful."

"Loved how concepts were immediately followed by coding demonstrations."

"Visualizations helped make abstract ideas concrete."

"The teaching style makes implementing DS feel less daunting."

"Excellent at breaking down complex implementations step-by-step."

Highly recommended for coding interviews.

"This course was fantastic preparation for my software engineering interviews."

"I felt much more prepared for technical questions after completing this."

"Highly relevant content for anyone targeting tech industry roles."

"The problem-solving skills gained are directly applicable to interviews."

"A must-take course for interview prep in C++."

Excellent for building practical skills.

"The vast number of problems provided was instrumental in solidifying my understanding."

"Working through the ~180 problems is where the real learning happens."

"The homework assignments are challenging but highly effective for skill development."

"I really appreciated the varying difficulty levels of the problems."

"Solving these problems gave me confidence in implementing data structures."

Assumes strong existing coding skills.

"You need a very solid foundation in C++, especially pointers and recursion."

"The stated prerequisites might not be enough for many learners."

"Came in with the listed prerequisites but felt underprepared."

"Better suited if you are already comfortable with complex C++ concepts."

"Don't attempt without strong existing programming ability."

Requires significant effort and prior knowledge.

"This course is incredibly difficult, be prepared for a serious challenge."

"It's not for the faint of heart; the workload is high."

"Lives up to the 'Stanford-like' description in terms of difficulty."

"I struggled significantly with the pace and complexity."

"Make sure you have ample time to dedicate to the homework."

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 Mastering critical SKILLS in Data Structures using C++ with these activities:

Review C++ Pointers

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Strengthen your understanding of C++ pointers, a crucial concept for mastering data structures and memory management in this course.

Browse courses on Pointers

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Read introductory materials on pointers.
Practice pointer arithmetic and memory allocation.
Work through examples of using pointers with arrays and functions.

Review 'Effective Modern C++' by Scott Meyers

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Improve your C++ coding skills by learning modern C++ features and best practices, leading to more efficient and robust data structure implementations.

View Effective Modern C++: 42 Specific Ways to... on Amazon

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Read the items related to memory management, smart pointers, and move semantics.
Apply the principles learned to your data structure implementations.
Refactor existing code to use modern C++ features.

Implement Basic Data Structures

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Reinforce your understanding of data structures by implementing them from scratch in C++.

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Implement a singly linked list with insert, delete, and search functions.
Implement a stack and queue using arrays or linked lists.
Test your implementations thoroughly with various inputs.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Read '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 that provides detailed explanations and C++ implementations.

View Data Structures and Algorithms in C++ on Amazon

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Read the chapters relevant to the data structures covered in the course.
Work through the code examples and exercises in the book.
Compare the book's implementations with your own.

Build a Simple Address Book

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Apply your knowledge of data structures to create a practical application that manages contact information.

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Design the data structure to store contact information (e.g., linked list, vector).
Implement functions to add, delete, search, and display contacts.
Add a user interface for easy interaction.
Test the application with a large number of contacts.

Solve LeetCode Problems on Data Structures

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Sharpen your problem-solving skills by tackling LeetCode problems related to data structures in C++.

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Select a set of LeetCode problems focusing on linked lists, stacks, queues, and trees.
Implement solutions in C++ and test them thoroughly.
Analyze the time and space complexity of your solutions.

Contribute to an Open Source Data Structures Library

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Gain real-world experience by contributing to an open-source project that implements data structures in C++.

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Find an open-source data structures library on GitHub or GitLab.
Identify a bug or feature to work on.
Implement the fix or feature and submit a pull request.
Respond to feedback from the project maintainers.

Career center

Learners who complete Mastering critical SKILLS in Data Structures using C++ will develop knowledge and skills that may be useful to these careers:

Software Engineer

A software engineer designs, develops, and tests software applications. This often involves a deep understanding of data structures and algorithms. With its coverage of data structures from basic to advanced, this course is a great way to master the skills to succeed as a software engineer. The course focuses on clean coding for data structures and gives you administered problem-solving skills. By learning about Vectors, Linked Lists, Stacks, Queues, and Trees, you can build a foundation for designing efficient and scalable software solutions. The extensive practice with ~180 problems, ranging from easy to hard, ensure you have a strong practical understanding, crucial for a software engineer.

See salaries and explore the career path for Software Engineer

Algorithm Developer

An algorithm developer designs and implements algorithms for various applications, often requiring proficiency in data structures. The focus of this course on mastering critical skills in data structures is very helpful for an algorithm developer. The course's content, from asymptotic complexity to hash tables, provides a solid foundation for designing and implementing algorithms. With the course's teaching style, algorithm developers will learn to parallelize concepts with codes and use clear visualization. This will help them develop efficient and effective algorithms. The extensive amount of practice to master the taught data structures is very useful for any algorithm developer.

See salaries and explore the career path for Algorithm Developer

Data Scientist

A data scientist analyzes large datasets to extract meaningful insights and develop data-driven solutions. Data scientists need to understand the optimal data structures and algorithms to efficiently process and analyze data. This course, by teaching data structures using C++, fits perfectly into the skill set needed to succeed as a data scientist. You will learn about various data structures and their time and memory complexity analysis. Knowing how to code line-by-line and applying knowledge of asymptotic complexity, all taught in the course, helps in optimizing data processing pipelines. The focus of the course on problem-solving helps a data scientist.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

A machine learning engineer develops and deploys machine learning models. Machine learning relies on efficiently processing large datasets, so you need a good understanding of data structures and algorithms. Given its coverage of data structures from basic to advanced using C++, this course helps you become a machine learning engineer. Learning the inner details of data structures and their time and memory complexity analysis is essential for optimizing machine learning algorithms. You will learn about vectors, linked lists, stacks, queues, binary trees, and hash tables. All of these concepts are helpful for building machine learning pipelines.

See salaries and explore the career path for Machine Learning Engineer

Quantitative Analyst

A quantitative analyst, often working in the finance industry, develops and implements mathematical models for pricing derivatives, managing risk, and automated trading. Many of these models rely on efficient data structures and algorithms for optimal performance. With its coverage of data structures from basic to advanced using C++, this course is a useful tool for a quantitative analyst. Learning the inner details of data structures and their time and memory complexity analysis is essential for building high-performance trading systems. You will learn about vectors, linked lists, stacks, queues, binary trees, and hash tables, all of which are helpful for building quantitative models.

See salaries and explore the career path for Quantitative Analyst

Game Developer

A game developer creates video games, often needing to optimize game performance through efficient data structures. This course can help you master the skills to succeed as a game developer. The course covers basic to advanced data structures, which are fundamental for managing game data, such as game objects, levels, and player data. Learning how to code line-by-line and having well-written and modular short codes, helps in optimizing game code for performance. Using knowledge of vectors, linked lists, and trees helps in creating efficient game worlds and managing game entities. The administered problem-solving skills are useful for a game developer.

See salaries and explore the career path for Game Developer

Blockchain Developer

A blockchain developer designs and implements blockchain technologies, which often requires a deep understanding of data structures for efficient data storage and retrieval. This course, with its focus on mastering critical skills in data structures using C++, helps you become a blockchain developer. The course covers data structures from basic to advanced, providing a solid foundation for building blockchain applications. You will learn about hash tables, which are fundamental for implementing blockchain data structures. The focus of the course on problem-solving hones the skills to write secure and efficient code.

See salaries and explore the career path for Blockchain Developer

Cybersecurity Analyst

A cybersecurity analyst protects computer systems and networks from cyber threats. This career requires understanding data structures to analyze network traffic, detect anomalies, and develop security tools. With its coverage of data structures from basic to advanced, this course helps hone the skills required for a cybersecurity analyst. You learn about hash tables which are useful for intrusion detection systems. The focus of the course on problem-solving and clean coding practices helps you develop secure and reliable cybersecurity solutions. You can learn about vectors, linked lists, stacks, and queues.

See salaries and explore the career path for Cybersecurity Analyst

Compiler Developer

A compiler developer works on creating compilers that translate high-level code into machine code, often using data structures like symbol tables and abstract syntax trees. With its coverage of data structures from basic to advanced, this course is a great way to help you become a compiler developer. The course's content, including letter trees and hash tables, helps you implement efficient symbol tables. By learning about binary trees, you will be able to develop abstract syntax trees. The focus of the course on problem-solving and clean coding practices helps a compiler developer.

See salaries and explore the career path for Compiler Developer

Robotics Engineer

A robotics engineer designs, develops, and tests robots, often requiring expertise in data structures for path planning, sensor data processing, and control systems. With its coverage of data structures from basic to advanced, this course is a great way to help you become a robotics engineer. Understanding data structure concepts like stacks, queues, and trees can help you implement robot control algorithms. The course focuses on problem-solving and clean coding practices, which are crucial for developing robust and reliable robotic systems. With the administered problem-solving skills, you will be well-prepared to tackle the challenges of a robotics engineer.

See salaries and explore the career path for Robotics Engineer

High Frequency Trading Programmer

A high frequency trading programmer develops systems for automated trading at very high speeds. This requires a deep understanding of data structures and algorithms to minimize latency and maximize throughput. With its coverage of data structures from basic to advanced using C++, this course is helpful for becoming a high frequency trading programmer. Learning the inner details of data structures and their time and memory complexity analysis is essential for optimizing trading systems. You will learn about vectors, linked lists, stacks, queues, binary trees, and hash tables. All help you build quantitative models.

See salaries and explore the career path for High Frequency Trading Programmer

Embedded Systems Engineer

An embedded systems engineer develops software for embedded systems, where resource optimization is critical. Since embedded systems often have limited memory and processing power, efficient data structures are essential. You may find this course helpful in succeeding in the role of embedded systems engineer. Learning the inner details of data structures and their time and memory complexity analysis, a focus of the course, is invaluable for writing efficient code. You can learn about vectors, linked lists, and queues in this course. The course's emphasis on analytical and problem-solving skills helps an embedded systems engineer.

See salaries and explore the career path for Embedded Systems Engineer

Operating Systems Developer

An operating systems developer designs and implements operating systems, often involving memory management and process scheduling. The course examines memory management and process scheduling, making it potentially useful for one who aspires to be an operating systems developer. You should learn about vectors, linked lists, stacks, and queues, all of which are essential for managing processes and memory. Learning the inner details of data structures and performing time and memory complexity analysis are important for optimizing operating system performance. The course's administered problem-solving skills can help improve your ability to develop operating systems.

See salaries and explore the career path for Operating Systems Developer

Database Administrator

A database administrator is responsible for managing and maintaining databases, which relies heavily on efficient data storage and retrieval. This course may be useful as it gives you a solid understanding of data structures. Key to the role, the course explores vectors, linked lists, stacks, queues, binary trees, and hash tables. All these are essential for understanding how databases store and manage data. By learning the inner details of data structures and their time and memory complexity analysis, you will be able to optimize database performance. The focus of the course on problem-solving and clean coding practices helps a database administrator.

See salaries and explore the career path for Database Administrator

Financial Analyst

A financial analyst analyzes financial data, builds models, and provides insights to support investment decisions. While this career might seem distant, quantitative financial analysis often employs complex data structures for modeling and simulation. With its coverage of data structures from basic to advanced, this course may be useful if you wish to become a financial analyst. You can learn about vectors, linked lists, stacks, and queues, all of which are helpful for financial modeling. The course's emphasis on analytical and problem-solving skills helps a financial analyst.

See salaries and explore the career path for Financial Analyst

Mastering critical SKILLS in Data Structures using C++

What's inside

Learning objectives

Syllabus

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Reviews summary

Rigorous data structures in c++

Activities

Career center

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