Complete C++ Programming with Data Structures and Algorithms from Udemy

So you want to learn C++ Programming from Basics to Advance ??

Well this can be the course for you where you will learn from basics of C++ to advance topics to C++ like

Arrays, Recursion, Pointers , Object Oriented Programing, Linked Lists, Stacks, Queues, ,Trees, BST's ,Dynamic Programming , Graph etc.

The best part is you will Learn Data Structures and Algorithms in C++ in the same course.

This Course is made for people who don't have any knowledge about programming & want to get started with C++

What I will learn ?

Basics - Datatypes and Variables, Operators and Expressions, Conditional Statements, Loops, Pointers, Functions, Function Overloading, Oops Concepts, Classes and Objects, Constructors, Destructors, Operator Overloading, Inheritance, Polymorphism, Abstract Classes, Function Overriding, Static Members, Templates, Linked List, Stacks, Queues, Trees, Binary Trees, Binary Search Trees, Priority Queues, Dynamic Programming, Graphs

So, you've heard a lot about C++, but you don't know how to get started? Then this course is exactly what you need.

This course assumes no previous coding experience . It doesn't matter if you have never written any programs or you have no idea about programming... After this course all of this will change.

A major focus is problem-solving skills, algorithms and strong fundamentals. Also, the focus of this course will be to make sure that you have done the substantial amount of coding by the end of it. You'll be exposed from very easy to hard level of questions and Concepts

Course is designed keeping in mind the requirements of beginners. Course starts with fundamentals of logic building and problem solving..

This course will enhance the problem solving skills of the students using C++. Course follow step-by-step approach to make students fall in love with programming and ignite their passion of coding with the help of problems ranging to easy to intermediate to expert level.

This course will teach you all the fundamentals you need.

With more than 50+ hours of video this comprehensive course leaves no stone unturned.

You will learn how to program in C++ in a fast and easy way. .This course will teach you C++ in a practical manner

As for the curriculum, curriculum is designed to make students proficient in programming .

You will learn theory and you will also gain lots of practice. During the course we will write many programs that will make you a great programmer.

I believe that when learning coding, it is best that you learn it while typing codes on your computer rather than just listening. This course exactly do that

I have made the course as friendly as possible.

What's inside

Learning objectives

For complete beginners
Learn from the very basics concepts like loops ,arrays 1d and 2d, functions to advance topics like pointers, dynamic memory allocations ,recursion ,strings
Learn object oriented programmings concepts with class object inheritance polymorphism abstraction and encapsulation and lots more..
Also learn data structures and algorithms concepts like linked list, stacks and queues, trees, bsts
Learn dynamic programming with advance algorithms like kruskals, prims and dijastra's algorithms in graphs

Get the access of all typed materials
The best is that all codes which will be typed from the very beginning to enhance your skills in c++ programming .
Show more
Show less

For complete beginners
Learn from the very basics concepts like loops ,arrays 1d and 2d, functions to advance topics like pointers, dynamic memory allocations ,recursion ,strings
Learn object oriented programmings concepts with class object inheritance polymorphism abstraction and encapsulation and lots more..
Also learn data structures and algorithms concepts like linked list, stacks and queues, trees, bsts
Learn dynamic programming with advance algorithms like kruskals, prims and dijastra's algorithms in graphs
Get the access of all typed materials
The best is that all codes which will be typed from the very beginning to enhance your skills in c++ programming .
Show more
Show less

Syllabus

Introduction Section

Topics for the Course

Source Codes (Codes are also provided in each Section based on the Topics)

Installing Dev C++ (For mac users check the resources)

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Starts with the fundamentals of programming, such as data types, operators, and control flow, which builds a strong foundation for novice programmers

Includes coverage of data structures and algorithms, such as linked lists, stacks, queues, trees, and graphs, which are essential for efficient problem-solving

Teaches object-oriented programming (OOP) concepts like classes, objects, inheritance, and polymorphism, which are crucial for modern software development

Covers dynamic memory allocation, which is a powerful feature of C++ that allows for flexible memory management, but requires careful handling to avoid memory leaks

Uses Dev C++ in the installation section, so learners may need to use a more modern IDE to stay up-to-date with current industry practices

Includes dynamic programming and graph algorithms, which are advanced topics that may be challenging for complete beginners without additional resources

Reviews summary

Complete c++ basics, ds, algorithms

According to learners, this course is well-suited for complete beginners with no prior coding experience, offering a comprehensive introduction to C++ programming. Students highlight its coverage of fundamental concepts, Object-Oriented Programming (OOP), and key Data Structures and Algorithms. The course emphasizes practical coding and problem-solving skills, with many reviewers appreciating the clear explanations and hands-on activities. While the course covers a wide range of topics, some students note that certain advanced areas might lack sufficient depth for more experienced learners or those seeking mastery.

Covers C++, OOP, DS, and Algorithms broadly.

"It covers all the topics listed in the syllabus: C++, OOP, DS, Algorithms."

"I learned C++ fundamentals, OOP concepts, and even some graph algorithms."

"The course provides a broad overview of many essential areas in C++ development."

"This course teaches everything from basic syntax to complex data structures."

Instructor explains concepts effectively.

"The explanations are clear and easy to understand, even for complex topics."

"Instructor breaks down concepts logically step-by-step."

"I found the way the instructor explained pointers and dynamic memory very helpful."

"Teaching style is very easy to follow."

Strong emphasis on hands-on coding.

"I really liked the focus on hands-on coding; we typed a lot of programs."

"The practical examples and problems helped solidify my understanding."

"Learning by doing code on my computer as the instructor did was very effective."

"Plenty of exercises are included to practice the concepts taught."

Great starting point for no prior experience.

"This course is perfect for someone starting from scratch."

"It assumes absolutely no prior programming knowledge, which was great for me."

"Starts from the very basics of C++ and programming concepts."

"The pace is good for a complete beginner to follow along."

Quality might vary, especially older sections.

"Some early videos seemed a bit older, but the content was still relevant."

"Occasionally, the audio quality varied, but it wasn't a major issue."

"The provided codes were helpful, though sometimes formatting could be improved."

"Overall quality is decent, but some parts could be more polished."

Some advanced topics could go deeper.

"While it covers many topics, some advanced algorithms could use more in-depth explanations."

"Good for an overview, but you might need supplemental material for advanced DSA mastery."

"Wish there were more challenging problems or deeper dives into specific optimization techniques."

"It introduces advanced topics but doesn't always explore them to a professional level."

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 Complete C++ Programming with Data Structures and Algorithms with these activities:

Review Basic Programming Concepts

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Reinforce fundamental programming concepts like variables, data types, and control flow to build a solid foundation for C++.

Browse courses on Variables

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Review notes and examples from introductory programming courses.
Complete practice exercises on basic programming concepts.
Write simple programs to solidify understanding.

Tutor other students in C++

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Reinforce your understanding of C++ by explaining concepts to other students.

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Offer to help classmates who are struggling with C++ concepts.
Prepare explanations and examples to illustrate key ideas.
Answer questions and provide guidance to students.

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

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Supplement the course material with a comprehensive textbook on data structures and algorithms in C++.

View Data Structures and Algorithms in C++ on Amazon

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Read relevant chapters corresponding to the course syllabus.
Work through examples and exercises in the book.
Compare the book's explanations with the course lectures.

Four other activities

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Show all seven activities

Create a C++ Programming Cheat Sheet

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Compile a concise cheat sheet of C++ syntax, data structures, and algorithms for quick reference.

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Gather key C++ syntax rules and code snippets.
Organize the information into a cheat sheet format.
Share the cheat sheet with peers for feedback.

Solve LeetCode problems on Arrays and Strings

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Enhance problem-solving skills by practicing coding challenges related to arrays and strings, key data structures in C++.

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Identify LeetCode problems focusing on arrays and strings.
Attempt to solve the problems independently.
Review solutions and explanations for unsolved problems.

Implement a Simple Data Structure Library

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

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Choose a few data structures to implement (e.g., linked list, stack, queue).
Write C++ code to implement the chosen data structures.
Test the implementation thoroughly with various test cases.

Review 'Effective Modern C++' by Scott Meyers

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Explore modern C++ features and best practices to write more efficient and maintainable code.

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

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Read chapters related to modern C++ features.
Experiment with the concepts in a C++ compiler.
Apply the learned techniques to existing C++ projects.

Career center

Learners who complete Complete C++ Programming with Data Structures and Algorithms 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 strong foundation in C++ programming, covering essential concepts like data types, operators, and control flow, which are fundamental to software development. The course's detailed exploration of data structures and algorithms equips aspiring software developers with the necessary tools to solve complex problems efficiently. Furthermore, the object oriented programming concepts taught in this course are vital for modern software development. Exposure to dynamic programming enhances problem solving abilities, making candidates well prepared for coding interviews and real-world development challenges. The course offers the hands-on coding practice necessary to succeed as a software developer.

See salaries and explore the career path for Software Developer

Algorithm Engineer

An algorithm engineer focuses on designing and implementing efficient algorithms for various applications. This course provides a thorough understanding of C++, covering essential topics such as data structures, algorithms, and dynamic programming. The course's emphasis on problem solving skills is critical for algorithm engineers, who must be able to develop innovative solutions to complex challenges. An algorithm engineer benefits from hands-on coding practice with C++, which allows them to implement and test algorithms effectively. The course materials provide a structured approach to mastering algorithms, helping aspiring algorithm engineers to excel in their roles.

See salaries and explore the career path for Algorithm Engineer

Systems Programmer

A systems programmer works on the core components of operating systems and system software. This course is beneficial as it offers a deep dive into C++, a language frequently used in systems programming. The course's coverage of pointers, dynamic memory allocation, and data structures is particularly helpful for system level development. Systems programmers deal with low level details and require a strong understanding of memory management and system architecture. The course's comprehensive curriculum helps aspiring systems programmers to tackle complex challenges and contribute to the development of robust and efficient systems.

See salaries and explore the career path for Systems Programmer

Embedded Systems Engineer

An embedded systems engineer develops software for embedded systems, such as those found in appliances and IoT devices. This course provides a solid introduction to C++, which is commonly used in embedded systems programming. The course's coverage of pointers, memory management, and data structures is beneficial as embedded systems often have limited resources. Embedded systems engineers benefit from hands on coding practice, which allows them to develop efficient and reliable code for resource constrained environments. The material in this course helps aspiring embedded systems engineers to design and implement software for a wide range of embedded applications.

See salaries and explore the career path for Embedded Systems Engineer

Robotics Engineer

A robotics engineer designs, builds, and programs robots for various applications. This course offers a strong foundation in C++, a language frequently used in robotics programming. The course covers essential concepts such as object oriented programming, data structures, and algorithms, which are important for controlling robot behavior and processing sensor data. Robotics engineers benefit from hands on coding practice, which helps them implement robot control algorithms and simulations. The course in particular helps robotics engineers develop the programming skills needed to create intelligent and autonomous robots.

See salaries and explore the career path for Robotics Engineer

Game Developer

A game developer creates video games for various platforms. This course provides a comprehensive introduction to C++, a primary language used in game development. The course's emphasis on data structures and algorithms is extremely helpful, enabling efficient management of game elements and optimization of performance. The object oriented programming concepts are crucial for designing game architectures. Game developers benefit from the course's hands on approach, which allows them to implement game mechanics and simulations. The course may be useful for those looking to enter the gaming industry, as developing this skillset is essential to game design and computer graphics.

See salaries and explore the career path for Game Developer

Data Engineer

A data engineer builds and maintains the infrastructure for collecting, storing, and processing large datasets. This course provides a foundation in C++, which can be used to develop high performance data processing pipelines. The course's coverage of data structures and algorithms equips data engineers with the necessary skills to optimize data storage and retrieval. Data engineers typically work with technologies like SQL and cloud computing, but knowing C++ helps build efficient processing tools with the course's coverage of data structures and algorithms.

See salaries and explore the career path for Data Engineer

Financial Software Developer

A financial software developer creates software solutions for the financial industry. This course may be helpful as it provides an understanding of C++, which is used in high frequency trading systems and other performance critical applications. The course's focus on data structures, algorithms, and optimization techniques is particularly valuable in finance, where speed and accuracy are essential. Financial software developers benefit from hands on coding practice, which allows them to develop efficient and reliable code for financial applications. The course prepares aspiring financial software developers to tackle complex challenges and contribute to the development of innovative financial technologies.

See salaries and explore the career path for Financial Software Developer

Data Scientist

A data scientist analyzes large datasets to extract meaningful insights and develop data driven solutions. While Python and R are more commonly used, C++ can be very helpful as well, particularly for performance critical tasks and algorithm development. This course provides a strong foundation in C++, covering essential programming concepts and data structures. The course's focus on algorithms and dynamic programming helps data scientists to optimize their code and solve complex analytical problems. By learning C++, data scientists can enhance their ability to work with data intensive applications and contribute to cutting edge research. Knowledge of C++ also enables the building of complex machine learning models.

See salaries and explore the career path for Data Scientist

Academic Researcher

An academic researcher conducts research in computer science or related fields, often at a university or research institution. This course can be useful as it provides a deep understanding of C++, which is used in many research areas, including high-performance computing and algorithm development. The course coverage of data structures, dynamic programming, and graph algorithms is valuable for implementing and testing research ideas. Academic researchers often require advanced degrees, such as a master's or doctorate. This course can provide a base level of information for aspiring researchers.

See salaries and explore the career path for Academic Researcher

Compiler Developer

A compiler developer creates compilers, which translate code from one programming language to another. This course provides a comprehensive introduction to C++, a language commonly used in compiler development, especially in legacy software. The course's coverage of data structures, algorithms, and system level programming is particularly valuable for compiler developers, who must understand how to optimize code and manage memory efficiently. This course may be helpful for those looking to design and implement compilers for various programming languages and platforms, although formal study, such as a Master's degree, is typically required.

See salaries and explore the career path for Compiler Developer

Quantitative Analyst

A quantitative analyst, often working in the financial industry, develops and implements mathematical models for pricing derivatives, managing risk, and making trading decisions. This course may be useful as it provides a foundation in C++, a language often used for implementing high performance trading algorithms. The course coverage of data structures, algorithms, and dynamic programming is particularly relevant for quantitative analysts, who must be able to develop efficient and accurate models. A quantitative analyst typically requires an advanced degree, such as a master's or doctorate, in a quantitative field.

See salaries and explore the career path for Quantitative Analyst

Network Engineer

A network engineer designs, implements, and manages computer networks. This course may be helpful as it provides some exposure to C++, which can be used to develop network management tools and protocols. The course's coverage of data structures and algorithms equips network engineers with the necessary skills to optimize network performance and troubleshoot network issues. The material in this course helps network engineers to understand the underlying principles of network programming and develop custom solutions for network management. Further studies may be required.

See salaries and explore the career path for Network Engineer

Information Security Analyst

An information security analyst protects computer systems and networks from cyber threats. This course may be helpful as it provides a foundation in C++, which can be used to develop security tools and analyze malware. The course's coverage of pointers and memory management equips information security analysts with the necessary skills to understand and mitigate security vulnerabilities. By learning C++, information security analysts can enhance their ability to protect systems and data from cyber attacks.

See salaries and explore the career path for Information Security Analyst

Database Administrator

A database administrator manages and maintains databases, ensuring data integrity, security, and availability. This course may be useful as it provides a foundation in C++, which can be used to develop custom database tools and extensions. The course's coverage of data structures and algorithms may help database administrators to optimize database performance and implement efficient data storage solutions. Database administrators need a strong understanding of database systems and programming languages, but a course like this one can assist with this goal.

See salaries and explore the career path for Database Administrator

Complete C++ Programming with Data Structures and Algorithms

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What's inside

Learning objectives

Syllabus

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Reviews summary

Complete c++ basics, ds, algorithms

Activities

Career center

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