Learn data structures and algorithms for interviews from Udemy

Contents: 1 course.

Levels: Beginner, Intermediate and advanced

Course 1: Learn data structures and algorithms for interviews

Tried Learning Data Structures and Algorithms?

Was it all in bits and pieces?

Then now you are in the right place. Here no material is in bits and pieces because we have focused on a total journey from a newbie to a well trained problem solver. We have gone through all topics needed for a solid concept and then we will be going more into the practical side. Once you have mastered DSA there is no getting back from excellence in your career. Allow me to present the beauty of DSA and programming through this course.

This course is made for people who want to learn DSA from A to Z in a well-organized and structured manner. We just don’t teach the basics, we cover all the varieties, and we go in super depth for each topic, so that you are well prepared for any of your interviews.

We cover the fundamentals of C++ programming language required for solving problems on various coding platforms like Leetcode. We start with the basic data structures like arrays, linked lists, stacks, queues and various algorithms associated with these data structures like sorting and searching. We then move onto the advanced concepts like Dynamic programming and trees required for solving harder problems.

What's inside

Learning objectives

Understand basics of c++ language
Compute space and time complexity in algorithms
Familiarize with stl (standard template library) in c++
Understand basic mathematical algorithms for problem solving
Use containers in c++ like vectors, stack, list, queue, priority queue, set, multiset, unordered set, map, multimap and unordered map

Master abstract concepts like recursion and binary search
Learn all sorting algorithms
Dynamic programming concepts are made easy
Grasp advanced data structures like trees and graphs with ease

Understand basics of c++ language
Compute space and time complexity in algorithms
Familiarize with stl (standard template library) in c++
Understand basic mathematical algorithms for problem solving
Use containers in c++ like vectors, stack, list, queue, priority queue, set, multiset, unordered set, map, multimap and unordered map
Master abstract concepts like recursion and binary search
Learn all sorting algorithms
Dynamic programming concepts are made easy
Grasp advanced data structures like trees and graphs with ease

Syllabus

Understand the fundamental concepts of programming in C++ and write code to solve problems

After completing this lecture, you will be able to setup a coding environment on your system. We will proceed with the same coding environment for the whole duration of this course.

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Covers fundamentals of C++ and STL, which are essential for coding interviews and competitive programming

Explores dynamic programming and graph data structures, which are frequently tested in technical interviews

Starts with the basics of C++ programming, making it accessible for individuals with limited prior experience

Strengthens understanding of data structures and algorithms, which are crucial for building efficient and scalable software

Includes practice labs and assignments, which provide hands-on experience in solving coding problems

Requires understanding of mathematical algorithms for problem solving, which may pose a challenge for some learners

Reviews summary

Solid foundation for coding interviews

According to learners, this course provides a solid foundation in data structures and algorithms specifically geared towards coding interviews. Students appreciate the clear explanations and structured approach, moving from basics to more advanced topics. Many find the coverage of C++ STL and various data structures like arrays, linked lists, stacks, and queues particularly helpful. The section on Dynamic Programming is frequently mentioned as being made easy. While the course is widely seen as beneficial, some learners suggest it could benefit from more challenging practice problems or deeper dives into optimization techniques for truly advanced interview preparation.

Makes DP concepts understandable.

"The section on dynamic programming was surprisingly easy to grasp thanks to the instructor."

"I always struggled with DP, but this course simplified it."

"DP explanation is a highlight of the course."

Well-organized curriculum.

"The course structure flows logically from simple to complex topics."

"I appreciated the step-by-step approach in learning DSA."

"Everything was covered in a well-organized manner."

Concepts are explained clearly.

"The explanations were very clear and easy to follow."

"Instructor does a great job explaining complex topics."

"I finally understood concepts that were confusing before."

Directly relevant for coding interviews.

"The topics covered are highly relevant for technical interviews."

"Helped me prepare effectively for my coding interviews."

"I needed DSA specifically for interviews, and this course delivered."

Provides a strong base in DSA.

"This course gave me a really strong foundation in data structures and algorithms."

"I feel much more confident about my DSA skills after taking this."

"Excellent starting point for anyone new to DSA for interviews."

Pacing is sometimes slow or shallow.

"Some parts felt a bit slow, especially the C++ basics."

"Could go deeper into some advanced algorithms or optimization."

"Good for beginners, maybe less so for intermediate learners."

Could benefit from more exercises.

"Could use more practice problems to solidify understanding."

"I wish there were more challenging exercises provided."

"Adding more hands-on coding labs would improve the course."

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 for interviews with these activities:

Review C++ Fundamentals

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Solidify your understanding of C++ syntax and concepts before diving into data structures and algorithms. This will make it easier to focus on the core DSA concepts.

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Review basic C++ syntax, data types, and control flow.
Practice writing simple C++ programs.
Familiarize yourself with C++ Standard Template Library (STL) basics.

Review 'Cracking the Coding Interview'

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Use this book as a reference to understand common interview questions and problem-solving techniques. It provides a structured approach to tackling DSA challenges.

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

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Read the chapters relevant to the data structures and algorithms covered in the course.
Work through the example problems and solutions.
Practice solving similar problems on your own.

LeetCode Daily Challenge

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Sharpen your problem-solving skills by consistently practicing coding challenges on LeetCode. This will help you apply the concepts learned in the course.

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Solve the LeetCode Daily Challenge problem each day.
Analyze the problem and develop a solution.
Implement your solution in C++.
Test your solution thoroughly.
Review the official solution and other community solutions.

Four other activities

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Show all seven activities

Create a DSA Cheat Sheet

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Summarize key concepts and algorithms in a concise cheat sheet. This will help you quickly recall important information during interviews or problem-solving sessions.

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Review the data structures and algorithms covered in the course.
Identify the key concepts and formulas for each topic.
Organize the information in a clear and concise format.
Include code snippets and examples where appropriate.

Implement a Data Structures Library

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Reinforce your understanding of data structures by implementing them from scratch. This hands-on project will solidify your knowledge and improve your coding skills.

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Choose a set of data structures to implement (e.g., linked list, stack, queue, binary tree).
Design the interface for each data structure.
Implement the data structure in C++.
Write unit tests to verify the correctness of your implementation.

Review 'Introduction to Algorithms'

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Use this book as a reference to deepen your understanding of the theoretical foundations of algorithms. It provides detailed explanations and proofs of correctness.

View Introduction to Algorithms, fourth edition on Amazon

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Read the chapters relevant to the algorithms covered in the course.
Study the pseudocode and proofs of correctness.
Implement the algorithms in C++.

Help Others on Forums

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Reinforce your understanding by helping other students on online forums. Explaining concepts to others will solidify your own knowledge.

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Browse online forums related to data structures and algorithms.
Identify questions that you can answer based on your knowledge.
Provide clear and concise explanations to help others understand the concepts.

Career center

Learners who complete Learn data structures and algorithms for interviews 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 using data structures and algorithms to create efficient and scalable solutions. This course helps build a solid foundation in data structures and algorithms, with a focus on C++, which is frequently used in software development. The course's emphasis on problem-solving and its coverage of fundamental data structures like arrays, linked lists, and trees, as well as advanced topics like dynamic programming, prepare you well for the challenges of software engineering. The study of time and space complexity provides the basis for creating performant software. If you want to become a software engineer, then consider taking Learn data structures and algorithms for interviews.

See salaries and explore the career path for Software Engineer

Algorithm Developer

An algorithm developer designs and implements algorithms for various applications, such as search engines, recommendation systems, or financial models. This requires a deep understanding of data structures and algorithmic techniques. When you take this course, you build a strong understanding of fundamental and advanced algorithms, including sorting, searching, and dynamic programming. The course's emphasis on C++ and its STL may be helpful in implementing and testing algorithms efficiently. The study of time and space complexity will be useful when optimizing algorithms. If you want to become an algorithm developer, then consider taking Learn data structures and algorithms for interviews.

See salaries and explore the career path for Algorithm Developer

Computer Programmer

A computer programmer writes code to implement software applications. Understanding data structures and algorithms is crucial for writing efficient and maintainable code. This course helps build a foundation in data structures and algorithms, equipping you with the tools and knowledge to solve programming problems effectively. The course's emphasis on C++ and its coverage of fundamental data structures like arrays, linked lists, and trees is essential for any computer programmer. You will learn how to write good code. If you want to become a computer programmer, then consider taking Learn data structures and algorithms for interviews.

See salaries and explore the career path for Computer Programmer

Machine Learning Engineer

A machine learning engineer develops and deploys machine learning models. They need to understand data structures and algorithms to optimize model performance and handle large datasets. This course helps you create a strong foundation in data structures and algorithms, preparing you to implement and optimize machine learning algorithms effectively. The course's emphasis on C++ and its coverage of advanced data structures like trees and graphs, as well as dynamic programming, is particularly relevant for machine learning tasks. You learn the importance of time and space complexity which are vital for machine learning implementations. If you want to become a machine learning engineer, then consider taking Learn data structures and algorithms for interviews.

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Game Developer

A game developer designs and implements video games, requiring strong programming skills and a deep understanding of data structures and algorithms for game logic, artificial intelligence, and graphics rendering. This course helps build a strong foundation in data structures and algorithms which is essential for game development. The course's emphasis on C++ is particularly relevant, as C++ is a widely used language in the game industry. The course's coverage of fundamental data structures like arrays, linked lists, and trees, as well as advanced topics like graphs and dynamic programming, help prepare you well for the challenges of game development. If you want to become a game developer, then consider taking Learn data structures and algorithms for interviews.

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Robotics Engineer

A robotics engineer designs, builds, and programs robots. This requires a solid understanding of data structures and algorithms for robot control, path planning, and sensor data processing. This course helps provide a strong foundation in data structures and algorithms, which is essential for robotics engineering. The course's emphasis on C++ may be helpful, as C++ is a commonly used language in robotics. The course's coverage of fundamental data structures like arrays, linked lists, and trees, as well as advanced topics like graphs, helps prepare you well for the challenges of robotics. If you want to become a robotics engineer, then consider taking Learn data structures and algorithms for interviews.

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Embedded Systems Engineer

An embedded systems engineer designs and develops software for embedded systems, such as those found in cars, appliances, and medical devices. These systems often have limited resources, making efficient data structures and algorithms crucial. This course helps you build a strong foundation in data structures and algorithms. The course's emphasis on C++ is particularly relevant, as C++ is a commonly used language in embedded systems development. The concepts taught may be valuable. If you want to become an embedded systems engineer, then consider taking Learn data structures and algorithms for interviews.

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Firmware Engineer

A firmware engineer develops low-level software that controls hardware devices. This requires a strong understanding of data structures, algorithms, and hardware interactions. This course helps build a foundation in data structures and algorithms, which is essential for firmware development. The course's emphasis on C++ is particularly relevant, as C++ is a commonly used language in firmware engineering. The concepts taught may be valuable and helpful. If you want to become a firmware engineer, then consider taking Learn data structures and algorithms for interviews.

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Mobile App Developer

A mobile app developer designs and develops applications for mobile devices. A strong understanding of data structures and algorithms is crucial for creating efficient and responsive mobile apps. This course helps you build a strong foundation in data structures and algorithms, enabling you to optimize app performance and handle complex data interactions effectively. The course's emphasis on C++ may be less directly applicable, but the underlying concepts of data structures and algorithms are transferable to other mobile development languages. If you want to become a mobile app developer, then consider taking Learn data structures and algorithms for interviews.

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Systems Architect

A systems architect designs and oversees the implementation of complex software systems. This requires a broad understanding of data structures, algorithms, and system design principles. This course may be useful because it helps build a solid foundation in data structures and algorithms, which is essential for designing efficient and scalable systems. The course's coverage of fundamental data structures like arrays, linked lists, and trees, as well as advanced topics like graphs and dynamic programming, will be useful when designing complex systems. Those who intend to become systems architects may consider taking Learn data structures and algorithms for interviews.

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Data Scientist

A data scientist analyzes large datasets to extract meaningful insights and build predictive models. Data manipulation and algorithm design are crucial skills for a data scientist. The course may be useful because it provides a solid understanding of data structures and algorithms, which form the basis for many data science tasks. The course's coverage of C++ and its Standard Template Library could be useful in implementing custom data analysis tools or optimizing existing algorithms. The sections on sorting and searching algorithms, as well as dynamic programming, may be useful when tackling complex data analysis problems. Those who intend to become data scientists may consider taking Learn data structures and algorithms for interviews.

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Data Engineer

A data engineer builds and maintains the infrastructure for data storage, processing, and analysis. This role requires a strong understanding of data structures and algorithms for efficient data handling and pipeline optimization. A data engineer needs to be able to assess and optimize processes that move and store data. This course may be useful because it provides a foundation in data structures and algorithms. The course's coverage of fundamental data structures like arrays, linked lists, and trees, as well as advanced topics like dynamic programming, is helpful. The concepts in the course may be useful. Consider taking Learn data structures and algorithms for interviews if you wish to become a data engineer.

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Quantitative Analyst

A quantitative analyst, also known as a quant, develops and implements mathematical models for financial analysis and risk management. While this role often requires advanced mathematical skills, a solid understanding of data structures and algorithms is essential for efficient data processing and model implementation. This course may be useful because it provides a foundation in data structures and algorithms. The course's coverage of C++ and its STL could be useful in implementing custom financial models or optimizing existing algorithms. The concepts taught may be relevant to a quant. Those who intend to become quants may consider taking Learn data structures and algorithms for interviews.

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Database Administrator

A database administrator manages and maintains databases, ensuring data integrity, security, and performance. Understanding data structures and algorithms is crucial for optimizing database queries and storage. This course may be useful because it provides a foundation in data structures and algorithms. The course's coverage of fundamental data structures like arrays, lists, and trees provides a solid understanding of how data is organized and accessed within a database. The concepts taught may be relevant to a database administrator. Those who intend to become database administrators may consider taking Learn data structures and algorithms for interviews.

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Web Developer

A web developer builds and maintains websites and web applications. While web development often involves using higher-level frameworks and libraries, understanding data structures and algorithms can help optimize website performance and handle complex data interactions. This course may be useful because it provides a foundation in data structures and algorithms. The course's coverage of fundamental data structures like arrays, linked lists, and trees provides a solid understanding of how data is organized and accessed. It may be helpful to web developers. Those who intend to become web developers may consider taking Learn data structures and algorithms for interviews.

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Learn data structures and algorithms for interviews

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What's inside

Learning objectives

Syllabus

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Reviews summary

Solid foundation for coding interviews

Activities

Career center

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