Complete Data Structures and Algorithms: Software Interviews from Udemy

Welcome to the Complete Data Structure & Algorithms: Technical Interviews course

Data structures and algorithms is not just a subject which every programmer should master but also a major topic in technical interviews by giant technology companies such as Google, Amazon, Microsoft, Netflix, Uber, Tesla etc.

Not only we will learn about the theory and practical implementations of the data structures & algorithms but also we will solve many technical interview questions and practice what we learn in each section.

During the course we will use Python programming language for all implementations and question solutions. However if you are sufficient in any other programming language before, you would be fine. We have a quick Python Refresher section where you can learn about the fundamentals if you want to adapt. Alternatively you can learn all the algorithms and solutions and implement them in your own preferred language as well.

This course is brought to you by Atil Samancioglu, teaching more than 300.000 students worldwide on programming and cyber security along with the Codestars, serving more than 1 million students. Atil also teaches mobile application development in Bogazici University and he is founder of his own training startup Academy Club.

Some of the topics that will be covered during the course:

Technical Interview Questions
Big O Notation
Stack
Queue
Deque
Arrays
Linked List
Heap
Graph
Tree
HashTable

After you complete the course you will be able to solve technical interview questions, improve your programming skills and implement ideas in real life problems. You will be given many opportunities to solve questions on your own during the training and it will be vital for you to follow these instructions.

If you are ready, let's get started.

What's inside

Learning objectives

Data structures
Algorithms

Technical interview question solutions
Python

Data structures
Algorithms
Technical interview question solutions
Python

Syllabus

Introduction

Course Outline

Big O Notation

Big O Introduction

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Covers data structures and algorithms, which are frequently tested in technical interviews at major technology companies

Includes practical implementations of data structures and algorithms, alongside theory, which is helpful for real-world application

Uses Python for implementations and solutions, but prior experience with other programming languages is sufficient for understanding the concepts

Includes a Python refresher section, which allows learners to quickly grasp the fundamentals of the language if needed

Provides opportunities to solve questions independently during the training, reinforcing learning through active participation

Includes topics such as Big O notation, stacks, queues, linked lists, heaps, graphs, trees, and hash tables, which are core concepts in computer science

Reviews summary

Interview prep: data structures and algorithms

According to learners, this course provides a strong foundation in data structures and algorithms, specifically tailored for technical interview preparation. Students frequently highlight the clear explanations and engaging delivery of the instructor, finding the content easy to understand even for complex topics. The inclusion of practical interview questions and coding examples using Python is seen as a major strength, offering hands-on practice. Some note that while the course is great for beginners and intermediate learners, more experienced individuals might find it basic in certain areas. Overall, it is considered a highly effective resource for sharpening DSA skills for interviews.

A solid starting point for those new to DSA.

"As a beginner, I found this course very accessible and easy to start with."

"It provides a strong foundation for someone new to data structures."

"The course was a great introduction to DSA for me."

"Perfect for getting your feet wet with algorithms and data structures."

Lots of helpful, practical coding practice.

"The coding examples and practice problems reinforce the concepts well."

"Working through the solutions provided in Python was extremely helpful."

"I appreciated the hands-on coding exercises after each theoretical section."

"The practical coding sections solidified my understanding."

Instructor explains complex topics clearly and simply.

"The explanations of data structures and algorithms are very clear and easy to follow."

"The instructor breaks down difficult concepts into digestible parts."

"I finally understood Big O notation thanks to the way it was explained."

"Even complex topics felt approachable because of the clear teaching style."

Course excels at preparing for coding interviews.

"This course focuses on the concepts that appear frequently in technical interviews, making it directly relevant."

"The practical interview questions included are invaluable for interview preparation."

"I feel much more confident approaching technical interviews after completing this course."

"It's designed specifically for technical interviews and it delivers on that promise."

May lack depth for advanced learners.

"If you have some prior knowledge, some parts might feel a bit too basic."

"Experienced developers might find certain sections redundant or not challenging enough."

"I was hoping for more advanced topics or optimization techniques."

"It covers the fundamentals well, but might not satisfy those seeking deep dives."

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 Data Structures and Algorithms: Software Interviews with these activities:

Review Python Fundamentals

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Solidify your understanding of Python syntax and data structures before diving into data structures and algorithms.

Browse courses on Python Basics

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Review basic data types (integers, floats, strings, booleans).
Practice using control flow statements (if, else, for, while).
Familiarize yourself with Python's built-in functions and modules.

Review 'Grokking Algorithms'

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Gain a visual and intuitive understanding of fundamental algorithms before tackling the course material.

View Grokking Algorithms, Second Edition on Amazon

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Read the chapters related to the data structures covered in the course.
Work through the examples and exercises in the book.

Implement Stack and Queue

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Reinforce your understanding of stack and queue data structures by implementing them from scratch.

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Implement a stack using a list or array.
Implement a queue using a list or linked list.
Test your implementations with various inputs.

Four other activities

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Show all seven activities

Create a cheat sheet for Big O notation

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Solidify your understanding of Big O notation by creating a concise cheat sheet with examples.

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Summarize the common Big O complexities (O(1), O(log n), O(n), O(n log n), O(n^2)).
Provide examples of code snippets that correspond to each complexity.
Include a brief explanation of space complexity.

Build a simple to-do list application

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Apply your knowledge of data structures (lists, stacks, queues) to build a practical application.

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Design the user interface and functionality of the to-do list application.
Implement the application using Python and appropriate data structures.
Test the application thoroughly and fix any bugs.

Solve LeetCode problems on Trees

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Sharpen your tree traversal and manipulation skills by solving LeetCode problems.

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Select a set of LeetCode problems related to tree data structures.
Solve the problems using Python and analyze the time and space complexity of your solutions.
Compare your solutions with the official solutions and discuss alternative approaches.

Help other students in the course discussion forums

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Reinforce your understanding by explaining concepts and helping other students with their questions.

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Regularly check the course discussion forums for questions from other students.
Provide clear and concise explanations to help students understand the concepts.
Share your code examples and insights to help students solve problems.

Career center

Learners who complete Complete Data Structures and Algorithms: Software 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 course helps build a strong foundation in data structures and algorithms, which are essential for solving complex coding problems encountered in software development. The focus on technical interview questions directly prepares aspiring Software Engineers for the rigorous hiring processes at top technology companies. Additionally, the course's practical implementations in Python provide hands-on experience that is highly valued in the field. The sections on Big O notation, arrays, linked lists, trees, and graphs are all incredibly relevant to the work of a Software Engineer.

See salaries and explore the career path for Software Engineer

Algorithm Developer

An Algorithm Developer researches, designs, and implements algorithms for various applications like search engines, machine learning, or financial modeling. This course directly aligns with the core responsibilities of an Algorithm Developer by providing extensive knowledge of data structures and algorithm design principles. The emphasis on technical interview questions helps Algorithm Developers refine their problem-solving skills and prepares them for challenging coding interviews. The in-depth study of topics such as trees, graphs, and hash tables, helps an Algorithm Developer create efficient and scalable solutions.

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. This course introduces the fundamental data structures and algorithms necessary for efficient data manipulation and analysis. Understanding Big O notation helps Data Scientists optimize their code for performance, particularly when working with massive datasets. Moreover, the course's coverage of trees and graphs provides a solid base for working with complex relationships within data. The skills learned in this course help Data Scientists build predictive models and identify trends, making them more effective in their role.

See salaries and explore the career path for Data Scientist

Game Developer

A Game Developer designs and develops video games. This course introduces the use of data structures and algorithms for game logic, artificial intelligence, and physics simulations. Understanding trees, graphs, and hash tables enables Game Developers to create complex game worlds and optimize performance. This is particularly useful for tasks like pathfinding, collision detection, and managing game assets. The course will help Game Developers build more engaging and performant games.

See salaries and explore the career path for Game Developer

Machine Learning Engineer

A Machine Learning Engineer develops and deploys machine learning models. This course may be useful for understanding the underlying principles of data structures and algorithms used in machine learning. This can lead to better model design and optimization. The course's coverage of trees and graphs, for example, helps when working with decision trees or graph-based neural networks. Furthermore, knowing Big O notation allows Machine Learning Engineers to write efficient code that can handle large datasets, accelerating the training and deployment of models.

See salaries and explore the career path for Machine Learning Engineer

Software Development Engineer in Test

A Software Development Engineer in Test designs and develops automated tests to ensure software quality. This course may be useful because a strong understanding of data structures and algorithms enables Software Development Engineers in Test to create more effective and efficient test cases. Knowing how to implement stacks, queues, and linked lists allows them to simulate various scenarios and identify potential bugs. The course's emphasis on problem-solving helps Software Development Engineers in Test develop robust testing strategies.

See salaries and explore the career path for Software Development Engineer in Test

Full-Stack Developer

A Full Stack Developer works on both the front-end and back-end of web applications. This course may be useful because it provides the foundational knowledge of data structures and algorithms needed for efficient back-end development. Understanding how to implement stacks, queues, and linked lists allows Full Stack Developers to optimize data processing and improve application performance. The focus on problem-solving equips Full Stack Developers with the skills to tackle complex coding challenges.

See salaries and explore the career path for Full-Stack Developer

Quantitative Analyst

A Quantitative Analyst, often working in finance, develops and implements mathematical models for pricing derivatives, managing risk, and identifying trading opportunities. This course helps build a strong foundation in algorithmic thinking and data manipulation, essential skills for quantitative analysis. Understanding data structures like heaps and hash tables enables efficient processing of financial data. The focus on algorithm design in this course, along with the discussion of Big O notation, equips Quantitative Analysts with the tools to develop and optimize models.

See salaries and explore the career path for Quantitative Analyst

Cybersecurity Analyst

A Cybersecurity Analyst protects computer systems and networks from cyber threats. This course introduces fundamental concepts in data structures and algorithms that help with security tasks like intrusion detection and malware analysis. The course may be useful when Cybersecurity Analysts need to analyze network traffic, identify patterns of malicious activity, and develop algorithms for detecting and preventing cyberattacks. The knowledge gained in the course can help Cybersecurity Analysts stay ahead of evolving threats.

See salaries and explore the career path for Cybersecurity Analyst

Database Administrator

A Database Administrator manages and maintains databases, ensuring data integrity, security, and availability. This course introduces important data structures, such as trees and hash tables, which are fundamental to database design and optimization. Understanding how these structures work internally allows Database Administrators to fine-tune database performance and troubleshoot issues. The course helps Database Administrators grasp the underlying principles of database management, enabling them to make informed decisions.

See salaries and explore the career path for Database Administrator

Cloud Engineer

A Cloud Engineer designs, builds, and maintains cloud computing infrastructure. This course may be useful for understanding the data structures and algorithms that underpin cloud services. This includes efficient data storage, retrieval, and processing. Understanding Big O notation allows Cloud Engineers to optimize cloud infrastructure and ensure scalability. The knowledge gained in the course can help Cloud Engineers design and manage cloud solutions.

See salaries and explore the career path for Cloud Engineer

Data Analyst

A Data Analyst collects, processes, and analyzes data to identify trends and insights. While this role is more focused on statistical analysis, understanding data structures and algorithms may empower a Data Analyst to perform more complex data manipulations and optimizations. For example, knowing about hash tables can lead to more efficient data lookups, while understanding trees can help when working with hierarchical data. The course could help Data Analysts extract greater insights from data.

See salaries and explore the career path for Data Analyst

IT Consultant

An IT Consultant advises organizations on how to use information technology to meet their business objectives. While this role is often broader than pure software development, understanding data structures and algorithms may allow an IT Consultant to provide more informed recommendations on software architecture and system design. For example, they could identify performance bottlenecks caused by inefficient algorithms and suggest improvements. The course could help IT Consultants provide more technically sound advice.

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Technical Project Manager

A Technical Project Manager plans, executes, and closes projects related to software development or IT infrastructure. While this role is focused on project management, possessing a foundational understanding of data structures and algorithms may enable a Technical Project Manager to better understand the technical challenges faced by their team and make informed decisions about project scope, timelines, and resource allocation. The course may help Technical Project Managers communicate with their team more effectively.

See salaries and explore the career path for Technical Project Manager

UX Designer

A UX Designer focuses on enhancing user satisfaction by improving the usability, accessibility, and desirability of a product. While this role is primarily focused on design principles, understanding data structures and algorithms may allow a UX Designer to better understand the technical constraints of software development and design more efficient user interfaces. The course may enable UX Designers to collaborate more effectively with developers.

See salaries and explore the career path for UX Designer

Reading list

We've selected one 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 Complete Data Structures and Algorithms: Software Interviews.

Grokking Algorithms, Second Edition

Save

Offers a visually engaging and intuitive introduction to algorithms. It uses illustrations and step-by-step explanations to make complex concepts easier to understand. While it may not be as comprehensive as some other books, it's an excellent choice for beginners who want to grasp the fundamental ideas behind algorithms without getting bogged down in technical details. It good book for those who need background knowledge.

Grokking Algorithms, Second Edition

Paperback

Grokking Algorithms, Second Edition

Kindle Edition

Complete Data Structures and Algorithms

Software Interviews

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What's inside

Learning objectives

Syllabus

Traffic lights

Save this course

Reviews summary

Interview prep: data structures and algorithms

Activities

Career center

Reading list

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