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Data Structures and Algorithms in C++ For Coding Interview

4.5 Filled star Filled star Filled star Filled star Half star
Based on 733 ratings
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El Farouk Yasser

Welcome to Data Structures and Algorithms in C++ For Coding Interview.

This is the most comprehensive online course to help you with your coding interviews and solving algorithmic problems with Data Structures. This course utilizes C++'s strong standard library to efficiently teach you what you need to know to solve basic algorithmic and data structures interview problems in the coding interview.

This course will teach you everything you need to know about utilizing data structures in your algorithms. We discuss data structures and algorithmic techniques such as:

Read more

Welcome to Data Structures and Algorithms in C++ For Coding Interview.

This is the most comprehensive online course to help you with your coding interviews and solving algorithmic problems with Data Structures. This course utilizes C++'s strong standard library to efficiently teach you what you need to know to solve basic algorithmic and data structures interview problems in the coding interview.

This course will teach you everything you need to know about utilizing data structures in your algorithms. We discuss data structures and algorithmic techniques such as:

  • Array/Strings Sequences

  • Stacks

  • Recursion

  • Hash Maps

  • Binary Trees

  • Searching and Sorting Algorithms

  • Heaps

  • Several Assignments to solidify your understanding

Please make sure you satisfy the requirements before joining the course.

Enroll now

What's inside

Learning objectives

  • Solve easy to medium difficulty problems that address different data strutures
  • Have an understanding of how to systematically approach coding problems in a step by step manner

Syllabus

Introduction
Introduction to Course
What is LeetCode, and How will we use it?
----------------------ARRAYS AND STRINGS DATA STRUCTURES------------------------
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Develops a strong foundation in data structures and algorithms for learners looking to strengthen their problem solving skills in these foundational areas
Covers a wide range of data structures and algorithms, from arrays to binary trees, providing a comprehensive understanding of these fundamental concepts
Focuses on practical implementation of data structures in C++, making it immediately applicable to real-world software development
Emphasizes problem-solving techniques and algorithmic thinking, essential skills for tackling coding interviews
Provides multiple assignments to reinforce understanding and give learners hands-on practice
Taught by El Farouk Yasser, an experienced instructor with over 10 years of industry experience in software engineering

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Reviews summary

C++ ds&a for coding interviews

According to learners, this course is a highly effective resource specifically designed for coding interview preparation using C++. Students frequently praise the clear explanations of core data structures and algorithms and appreciate the course's strong focus on problem-solving methodologies, including optimization techniques and complexity analysis. The structured approach, often tackling LeetCode-style problems step-by-step, is seen as a significant benefit. Many reviewers found the assignments particularly helpful for reinforcing concepts and building practical skills. While providing a great foundation for easy to medium problems, a few students noted it might lack sufficient depth for more advanced interview challenges or competitive programming scenarios. Overall, it is viewed as a practical and valuable guide for individuals targeting technical roles that require DS&A proficiency in C++.
Good use of C++ and standard library.
"The explanations for algorithms and data structures in C++ were clear..."
"C++ examples were clean and easy to follow."
"Excellent course for C++ users targeting coding interviews."
"C++ implementation is well-handled."
Assignments reinforce understanding effectively.
"Assignments solidified my understanding."
"Assignments were relevant."
"The assignments are good practice."
"Assignments reinforced the concepts effectively."
"Some assignments were challenging in a good way."
Concepts are explained clearly and logically.
"The explanations for algorithms and data structures in C++ were clear and directly applicable."
"The instructor breaks down complex topics like trees and heaps very well."
"The videos were clear."
"The content is well-structured, moving from simple to more complex problems."
"Clear, concise, and practical."
Focuses on solving problems step-by-step.
"The focus on LeetCode-style problems with different optimization levels was particularly helpful."
"The step-by-step approach to problems was useful."
"The focus on problem-solving patterns and time/space complexity analysis is a major plus."
"It follows a problem-centric approach, which is very effective."
"The explanations regarding optimization techniques are invaluable."
Highly effective for coding interview success.
"This course was exactly what I needed to prepare for my technical interviews."
"Highly recommended for interview prep."
"overall, a solid foundation for coding interviews."
"A practical approach to DS&A for interviews."
"This course significantly boosted my confidence for interviews."
"Excellent course for C++ users targeting coding interviews."
May not cover advanced topics in depth.
"I felt some topics could go into slightly more depth..."
"Covers the basics but felt a bit rushed on some advanced topics."
"Was hoping for more depth. The course scratches the surface on some topics."
"...not deep enough if you're starting from scratch or aiming for top-tier interviews."
"...not for intermediate learners preparing for competitive 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 and Algorithms in C++ For Coding Interview with these activities:
Organize Your Course Notes
Keeping your course materials organized will help you easily access and review important concepts.
Show steps
  • Gather all of your course materials (notes, slides, assignments, etc.)
  • Create a system for organizing your materials
  • Regularly review and update your organized materials
Review Basic Complexity Analysis
It's important to review basic complexity analysis to ensure you have a solid foundation for understanding the efficiency of algorithms.
Browse courses on Complexity Analysis
Show steps
  • Review the concepts of time complexity and space complexity
  • Practice analyzing the complexity of simple algorithms
  • Use online resources or textbooks for additional practice
LeetCode Exercises
Solving LeetCode problems will solidify your understanding of the data structures and algorithms covered in the course.
Browse courses on Data Structures
Show steps
  • Create a LeetCode account
  • Practice solving Easy-level problems
  • Move on to solving Medium-level problems
Five other activities
Expand to see all activities and additional details
Show all eight activities
Explain a Data Structure to a Newbie
Explaining a data structure to someone else will help you reinforce your understanding of how it works.
Browse courses on Data Structures
Show steps
  • Choose a data structure to explain
  • Break down the data structure into simple terms
  • Explain how the data structure is used in real-world applications
Follow a Course on Hash Tables
Hash tables are a fundamental data structure and this tutorial will provide a comprehensive overview of how they work.
Browse courses on Hash Tables
Show steps
  • Find a reputable course on hash tables
  • Follow the course lectures and complete the exercises
  • Implement a hash table in your preferred programming language
Attend a Coding Workshop
Coding workshops provide an opportunity to learn from experts and practice your skills in a collaborative environment.
Browse courses on Algorithms
Show steps
  • Find a coding workshop that aligns with your interests
  • Register for the workshop and attend the sessions
  • Participate in the exercises and discussions
Mentor a Junior Programmer
Mentoring a junior programmer will give you the opportunity to reinforce your knowledge while helping others succeed.
Browse courses on Algorithms
Show steps
  • Identify a junior programmer who is willing to be mentored
  • Establish regular meeting times
  • Provide guidance and support on programming concepts and career development
Build a Portfolio of Programming Projects
Building a portfolio of programming projects will allow you to showcase your skills and demonstrate your understanding of the concepts covered in the course.
Browse courses on Algorithms
Show steps
  • Identify 3-5 programming projects that align with your interests
  • Design and implement the projects
  • Document your projects and upload them to GitHub

Career center

Learners who complete Data Structures and Algorithms in C++ For Coding Interview will develop knowledge and skills that may be useful to these careers:
Data Scientist
A Data Scientist is an expert in using data analysis, visualization, and statistical tools to understand complex data. They may use data to build models, make recommendations, or improve business outcomes. This course can help you develop the skills you need to become a successful Data Scientist. You will learn how to use data structures and algorithms efficiently, which are essential skills for working with big data. You will also learn how to apply these skills to solve real-world problems.
See salaries and explore the career path for Data Scientist
Software Engineer - Data Systems
A Software Engineer - Data Systems is responsible for designing, developing, and maintaining data systems. They may work on projects such as data warehouses, data lakes, and big data analytics platforms. This course can help you develop the skills you need to become a successful Software Engineer - Data Systems. You will learn how to use data structures and algorithms to efficiently store, process, and analyze data.
See salaries and explore the career path for Software Engineer - Data Systems
Quantitative Analyst
A Quantitative Analyst uses mathematical and statistical models to analyze financial data. They may use these models to make investment decisions, develop trading strategies, or manage risk. This course can help you develop the skills you need to become a successful Quantitative Analyst. You will learn how to use data structures and algorithms to efficiently analyze large datasets. You will also learn how to apply these skills to solve real-world problems.
See salaries and explore the career path for Quantitative Analyst
Business Analyst
A Business Analyst uses data to identify and solve business problems. They may work with stakeholders to gather requirements, analyze data, and develop solutions. This course can help you develop the skills you need to become a successful Business Analyst. You will learn how to use data structures and algorithms to efficiently analyze data. You will also learn how to apply these skills to solve real-world problems.
See salaries and explore the career path for Business Analyst
Data Architect
A Data Architect designs and implements data systems that meet the needs of an organization. They may work on projects such as data warehouses, data lakes, and big data analytics platforms. This course can help you develop the skills you need to become a successful Data Architect. You will learn how to use data structures and algorithms to efficiently store, process, and analyze data.
See salaries and explore the career path for Data Architect
Machine Learning Engineer
A Machine Learning Engineer builds and deploys machine learning models. They may work on projects such as fraud detection, image recognition, and natural language processing. This course can help you develop the skills you need to become a successful Machine Learning Engineer. You will learn how to use data structures and algorithms to efficiently train and deploy machine learning models.
See salaries and explore the career path for Machine Learning Engineer
Data Engineer
A Data Engineer builds and maintains data pipelines. They may work on projects such as data warehouses, data lakes, and big data analytics platforms. This course can help you develop the skills you need to become a successful Data Engineer. You will learn how to use data structures and algorithms to efficiently store, process, and analyze data.
See salaries and explore the career path for Data Engineer
Software Developer
A Software Developer designs, develops, and tests software applications. They may work on a variety of projects, such as web applications, mobile applications, and desktop applications. This course can help you develop the skills you need to become a successful Software Developer. You will learn how to use data structures and algorithms to efficiently implement software solutions.
See salaries and explore the career path for Software Developer
Statistician
A Statistician uses mathematical and statistical methods to collect, analyze, and interpret data. They may work on projects such as public health, market research, and financial analysis. This course can help you develop the skills you need to become a successful Statistician. You will learn how to use data structures and algorithms to efficiently analyze large datasets.
See salaries and explore the career path for Statistician
Financial Analyst
A Financial Analyst analyzes financial data to make investment recommendations. They may work with clients to develop investment strategies and manage portfolios. This course can help you develop the skills you need to become a successful Financial Analyst. You will learn how to use data structures and algorithms to efficiently analyze financial data.
See salaries and explore the career path for Financial Analyst
Consultant
A Consultant provides advice and guidance to organizations on a variety of topics, such as business strategy, operations, and technology. This course can help you develop the skills you need to become a successful Consultant. You will learn how to use data structures and algorithms to efficiently analyze data and solve problems.
See salaries and explore the career path for Consultant
Product Manager
A Product Manager is responsible for the development and launch of new products. They may work with stakeholders to gather requirements, define product specifications, and manage the product lifecycle. This course can help you develop the skills you need to become a successful Product Manager. You will learn how to use data structures and algorithms to efficiently analyze data and make informed decisions.
See salaries and explore the career path for Product Manager
Database Administrator
A Database Administrator is responsible for the maintenance and performance of databases. They may work on projects such as data warehouses, data lakes, and big data analytics platforms. This course can help you develop the skills you need to become a successful Database Administrator. You will learn how to use data structures and algorithms to efficiently store, process, and analyze data.
See salaries and explore the career path for Database Administrator
IT Architect
An IT Architect designs and implements IT systems that meet the needs of an organization. They may work on projects such as data centers, networks, and cloud computing platforms. This course can help you develop the skills you need to become a successful IT Architect. You will learn how to use data structures and algorithms to efficiently design and implement IT solutions.
See salaries and explore the career path for IT Architect
Systems Analyst
A Systems Analyst analyzes and designs computer systems. They may work on projects such as software development, data management, and network administration. This course can help you develop the skills you need to become a successful Systems Analyst. You will learn how to use data structures and algorithms to efficiently design and implement computer systems.
See salaries and explore the career path for Systems Analyst

Reading list

We've selected nine books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Data Structures and Algorithms in C++ For Coding Interview.
Cover image
Introduction to Algorithms, fourth edition
Save
Widely-used textbook that provides a comprehensive overview of algorithms and data structures.
Introduction to Algorithms, fourth edition
Paperback
Check
Introduction to Algorithms, fourth edition
Kindle Edition
Check
Cover image
Introduction to Algorithms, fourth edition
Save
Widely-used textbook that provides a comprehensive overview of algorithms and data structures.
Introduction to Algorithms, fourth edition
Hardcover
$$$$
Introduction to Algorithms, fourth edition
Kindle Edition
$$$
Cover image
Introduction to Programming in Java
Save
Provides a comprehensive overview of algorithms and data structures. It classic text that is still widely used today.
Introduction to Programming in Java: An...
Paperback
$$$
Introduction to Programming in Java: An...
Paperback
$$$
Introduction to Programming in Java: An...
Kindle Edition
$$
Cover image
Algorithms, Part II
Save
Provides a comprehensive overview of algorithms and data structures in Java. It classic text that is still widely used today.
Algorithms, Part II
Kindle Edition
$$
Cover image
Data Structures and Algorithm Analysis in C++,...
Save
Provides a comprehensive overview of data structures and algorithms in C++. It good resource for learning how to implement these concepts in code.
Data Structures and Algorithm Analysis in C++,...
Paperback
Check
Data Structures and Algorithm Analysis in C++,...
Kindle Edition
Check
Instant Access to the WileyPLUS course + eText for...
Save
Provides an understanding of how to analyze and manipulate data structures and algorithms in C++. It good resource for learning how to apply these concepts to real-world problems.
Instant Access to the WileyPLUS course + eText for...
Paperback
Check
Instant Access to the WileyPLUS course + eText for...
Kindle Edition
Check
Cover image
Data Structures and Algorithms in Java, 6th Edition
Save
Provides a comprehensive overview of data structures and algorithms in Python. It good resource for learning how to apply these concepts to real-world problems in Python.
Data Structures and Algorithms in Java 6th Edition...
Paperback
$$$
Data Structures and Algorithms in Java, 6th Edition
Kindle Edition
$$$
Cover image
Data Structures Using C++
Save
Provides a practical guide to data structures and algorithms in C++. It valuable resource for learning how to use these concepts to solve real-world problems.
Data Structures Using C++
Paperback
Check
Data Structures Using C++
Kindle Edition
Check
Cover image
The Algorithm Design Manual
Save
Provides a practical guide to algorithm design. It valuable resource for learning how to design efficient algorithms.
The Algorithm Design Manual (Texts in Computer...
Hardcover
$$$
The Algorithm Design Manual
Paperback
$$$
The Algorithm Design Manual (Texts in Computer...
Kindle Edition
$$
The Algorithm Design Manual
Kindle Edition
$$$

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4.5 Filled star Filled star Filled star Filled star Half star
Effort
7 total hours
Via
Udemy
Instructor
El Farouk Yasser
Language
English
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Develops a strong foundation in data structures and algorithms for learners looking to strengthen their problem solving skills in these foundational areas
Covers a wide range of data structures and algorithms, from arrays to binary trees, providing a comprehensive understanding of these fundamental concepts
Focuses on practical implementation of data structures in C++, making it immediately applicable to real-world software development
Emphasizes problem-solving techniques and algorithmic thinking, essential skills for tackling coding interviews
Provides multiple assignments to reinforce understanding and give learners hands-on practice
Taught by El Farouk Yasser, an experienced instructor with over 10 years of industry experience in software engineering
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