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Andrei Neagoie

Updated for the 2023 hiring season. Join a live online community of over 900,000+ developers and a course taught by an industry expert that has actually worked both in Silicon Valley and Toronto as a senior developer. Graduates of this course are now working at Google, Tesla, Amazon, Apple

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Updated for the 2023 hiring season. Join a live online community of over 900,000+ developers and a course taught by an industry expert that has actually worked both in Silicon Valley and Toronto as a senior developer. Graduates of this course are now working at Google, Tesla, Amazon, Apple

Want to land a job at a great tech company like Google, Microsoft, Meta, Netflix, Amazon, or other companies but you are intimidated by the interview process and the coding questions? Do you find yourself feeling like you get "stuck" every time you get asked a coding question? This course is your answer. Using the strategies, lessons, and exercises in this course, you will learn how to land offers from all sorts of companies.

Many developers who are "self taught", feel that one of the main disadvantages they face compared to college educated graduates in computer science is the fact that they don't have knowledge about algorithms, data structures and the notorious Big-O Notation. Get on the same level as someone with computer science degree by learning the fundamental building blocks of computer science which will give you a big boost during interviews. You will also get access to our private online chat community with thousands of developers online to help you get through the course.Here is what you will learn in this course:

Technical:

1. Big O notation2. Data structures: * Arrays* Hash Tables* Singly Linked Lists* Doubly Linked Lists* Queues* Stacks* Trees (BST, AVL Trees, Red Black Trees, Binary Heaps)* Tries* Graphs3. Algorithms: * Recursion* Sorting* Searching* Tree Traversal* Breadth First Search* Depth First Search* Dynamic ProgrammingNon Technical:

- How to get more interviews- What to do during interviews- What do do after the interview- How to answer interview questions- How to handle offers- How to negotiate your salary- How to get a raise

Unlike most instructors, I am not a marketer or a salesperson. I am a senior developer and programmer who has worked and managed teams of engineers and have been in these interviews both as an interviewee as well as the interviewer.My job as an instructor will be successful if I am able to help you become better at interviewing and land more jobs. This one skill can really change the course of your career and I hope you sign up today to see what it can do for your career.

Taught by:

Andrei is the instructor of the highest rated Web Development course on Udemy as well as one of the fastest growing. His graduates have moved on to work for some of the biggest tech companies around the world like Apple, Google, JP Morgan, IBM, etc... He has been working as a senior software developer in Silicon Valley and Toronto for many years, and is now taking all that he has learned, to teach programming skills and to help you discover the amazing career opportunities that being a developer allows in life. 

Having been a self taught programmer, he understands that there is an overwhelming number of online courses, tutorials and books that are overly verbose and inadequate at teaching proper skills. Most people feel paralyzed and don't know where to start when learning a complex subject matter, or even worse, most people don't have $20,000 to spend on a coding bootcamp. Programming skills should be affordable and open to all. An education material should teach real life skills that are current and they should not waste a student's valuable time.   Having learned important lessons from working for Fortune 500 companies, tech startups, to even founding his own business, he is now dedicating 100% of his time to teaching others valuable software development skills in order to take control of their life and work in an exciting industry with infinite possibilities. 

Andrei promises you that there are no other courses out there as comprehensive and as well explained. He believes that in order to learn anything of value, you need to start with the foundation and develop the roots of the tree. Only from there will you be able to learn concepts and specific skills(leaves) that connect to the foundation. Learning becomes exponential when structured in this way. 

Taking his experience in educational psychology and coding, Andrei's courses will take you on an understanding of complex subjects that you never thought would be possible.  

See you inside the courses.

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What's inside

Learning objectives

  • Ace coding interviews given by some of the top tech companies
  • Become more confident and prepared for your next coding interview
  • Learn, implement, and use different data structures
  • Learn, implement and use different algorithms
  • Get more interviews
  • Professionally handle offers and negotiate raises
  • Become a better developer by mastering computer science fundamentals

Syllabus

Introduction
How To Succeed In This Course
Join Our Online Classroom!
Exercise: Meet Your Classmates & Instructor
Read more
ZTM Resources
Monthly Coding Challenges, Free Resources and Guides
Getting More Interviews
Section Overview
Resume
Exercise: Resume Walkthrough
Resume Review
Resources: Resume Templates
What If I Don't Have Enough Experience?
Optional Exercise: Github Master
Optional: Exercise: Github README
LinkedIn
Optional Exercise: LinkedIn Endorsements
Portfolio
Resources: Free Portfolio Templates
Email
Resources: Email
Where To Find Jobs?
Resources: Where To Find Jobs?
When Should You Start Applying?
Section Summary
Monthly Industry Updates
Big O
Python, Java, C/C++, C#, Golang, Swift, Kotlin, TypeScript, Scala, Perl Code
Setting Up Your Environment
Big O Cheatsheet
IMPORTANT: Repl Code
What Is Good Code?
Big O and Scalability
O(n)
O(1)
Exercise: Big O Calculation
Solution: Big O Calculation
Exercise: Big O Calculation 2
Solution: Big O Calculation 2
Simplifying Big O
Big O Rule 1
Big O Rule 2
Big O Rule 3
O(n^2)
Big O Rule 4
Big O Cheat Sheet
What Does This All Mean?
O(n!)
3 Pillars Of Programming
Space Complexity
Exercise: Space Complexity
Exercise: Twitter
Optional: Javascript Loops
How To Solve Coding Problems
What Are Companies Looking For?
What We Need For Coding Interviews
Exercise: Google Interview
Exercise: Interview Question
Exercise: Interview Question 2
Review Google Interview
Optional Exercise: Google Interview On Your Own
Data Structures: Introduction
What Is A Data Structure?
How Computers Store Data
Data Structures In Different Languages
Operations On Data Structures
Data Structures: Arrays
Arrays Introduction
Static vs Dynamic Arrays
Quick Note: Upcoming Video
Optional: Classes In Javascript
Implementing An Array
Strings and Arrays
Exercise: Reverse A String
Solution: Reverse A String
Exercise: Merge Sorted Arrays
Solution: Merge Sorted Arrays
Interview Questions: Arrays
Arrays Review
Data Structures: Hash Tables
Hash Tables Introduction
Hash Function
Hash Collisions
Hash Tables In Different Languages
Exercise: Implement A Hash Table
Solution: Implement A Hash Table
keys()
Extra: keys() Without Collision
Hash Tables VS Arrays
Exercise: First Recurring Character
Solution: First Recurring Character
Interesting Tidbit: Python Dictionaries
Hash Tables Review
Data Structures: Linked Lists
Linked Lists Introduction

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Perfectly aligns with the learning objectives and content of computer science programs at the collegiate level, making it a strong fit for college graduates or learners with computer science backgrounds looking to further their knowledge and practice with Big O, data structures, and algorithms
Course structure and content progression closely resembles those of computer science classes taught in an academic setting, indicating its alignment with established standards and best practices in computer science education
Combining video lessons, hands-on exercises, community interactions, and real-world case studies, this course offers a holistic and engaging learning experience that caters to diverse learning styles and preferences
Instructors hold senior-level industry experience in various technology companies and are acknowledged for their expertise in software development
Its focus on the skills and knowledge required for successful performance in technical interviews, particularly those conducted by leading technology companies, makes this course relevant for job seekers in the tech industry
The emphasis on career advancement, negotiation, and salary discussions empowers learners to navigate the job market confidently and maximize their earning potential

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Reviews summary

Solid coding interview prep

According to students, this course is a solid way to prepare for coding interviews. Andrei, the instructor, shares valuable information and resources. Students appreciate his advice and plan of attack for nailing the non-technical section of the interview.

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 Master the Coding Interview: Data Structures + Algorithms with these activities:
Review Big O notation and Data Structures
Start this course with a strong foundation and reinforce what you've already learned about Big O notation and various data structures.
Browse courses on Big O Notation
Show steps
  • Revisit your notes or textbooks on Big O Notation and Data Structures.
  • Practice solving Big O Notation and Data Structure problems online.
  • Review the course syllabus and identify the specific Big O and Data Structure concepts that will be covered.
Read 'Cracking the Coding Interview'
Prepare for technical interviews by reading this comprehensive guide, which provides valuable insights and strategies to improve your performance.
Show steps
  • Purchase or borrow the book.
  • Read each chapter thoroughly and take notes.
  • Practice solving the coding problems provided in the book.
  • Attend the author's workshops or online courses to supplement your learning.
Attend Tech Meetups and Conferences
Connect with other professionals in the tech industry, learn about the latest trends, and find potential job opportunities.
Show steps
  • Research upcoming tech meetups and conferences in your area.
  • Register for events that align with your interests and career goals.
  • Attend the events, engage in discussions, and network with attendees.
  • Follow up with interesting people you meet and explore potential collaborations.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Solve LeetCode Problems
Improve your coding skills by practicing with LeetCode problems, which will help you develop your problem-solving abilities and prepare for coding interviews.
Show steps
  • Create a LeetCode account.
  • Start with easy problems and gradually move on to more difficult ones.
  • Read the discussion forums to learn from other users' solutions.
  • Attend LeetCode contests to challenge yourself and track your progress.
Follow Tutorials on Advanced Data Structures
Expand your knowledge of data structures by following tutorials on advanced topics such as trees and graphs, which will enhance your problem-solving skills.
Show steps
  • Identify specific advanced data structures that you want to learn.
  • Search for high-quality tutorials or online courses on those topics.
  • Follow the tutorials step-by-step and implement the data structures in your preferred programming language.
  • Solve coding problems that involve the use of advanced data structures.
Build a Personal Portfolio Website
Showcase your skills and projects by creating a personal portfolio website, which will help you stand out in the job market.
Show steps
  • Choose a domain name and web hosting provider.
  • Design and develop your website using HTML, CSS, and JavaScript.
  • Create a portfolio of your best projects, including code snippets and demonstrations.
  • Optimize your website for search engines and mobile devices.
Contribute to Open-Source Projects
Gain practical experience and contribute to the developer community by collaborating on open-source projects, which will enhance your problem-solving abilities and expand your knowledge base.
Show steps
  • Identify open-source projects that align with your interests.
  • Review the project's documentation and contribute to discussions.
  • Fork the project and create a branch for your proposed changes.
  • Implement the changes, test the code, and create a pull request.

Career center

Learners who complete Master the Coding Interview: Data Structures + Algorithms will develop knowledge and skills that may be useful to these careers:
Software Engineer
The coding interview is one of the most important aspects of getting a job as a Software Engineer. Having the skills to perform well during these technical interviews will help you to land a high-paying job at top tech companies. This course will help you to prepare for these interviews by providing you with the skills and knowledge that you will need to ace the coding portion of your interviews. This course will also help you learn about computer science fundamentals and best coding practices, which will help you succeed as a Software Engineer on the job.
Software Developer
The coding interview is one of the most important aspects of getting a job as a Software Developer. Having the skills to perform well during these technical interviews will help you to land a high-paying job at top tech companies. This course will help you to prepare for these interviews by providing you with the skills and knowledge that you will need to ace the coding portion of your interviews. This course will also help you learn about computer science fundamentals and best coding practices, which will help you succeed as a Software Developer on the job.
Data Analyst
Data Analysts use their knowledge of data to solve business problems. This course will help you to build a foundation in data structures and algorithms, which are essential for understanding and working with data. The skills that you will learn in this course will help you to become a more effective Data Analyst.
Machine Learning Engineer
Machine Learning Engineers use their knowledge of machine learning to build and deploy machine learning models. This course will help you to build a foundation in data structures and algorithms, which are essential for understanding and working with machine learning models. The skills that you will learn in this course will help you to become a more effective Machine Learning Engineer.
Quantitative Analyst
Quantitative Analysts use their knowledge of mathematics and statistics to analyze financial data. This course will help you to build a foundation in data structures and algorithms, which are essential for understanding and working with financial data. The skills that you will learn in this course will help you to become a more effective Quantitative Analyst.
Data Scientist
Data Scientists use their knowledge of statistics, programming, and machine learning to extract insights from data. This course will help you to build a foundation in data structures and algorithms, which are essential for understanding and working with data. The skills that you will learn in this course will help you to become a more effective Data Scientist.
Systems Analyst
Systems Analysts use their knowledge of systems to design and implement computer systems. This course will help you to build a foundation in data structures and algorithms, which are essential for understanding and working with computer systems. The skills that you will learn in this course will help you to become a more effective Systems Analyst.
Computer Programmer
Computer Programmers use their knowledge of programming languages to write code that solves problems. This course will help you to build a foundation in data structures and algorithms, which are essential for writing efficient and effective code. The skills that you will learn in this course will help you to become a more effective Computer Programmer.
Computer Network Architect
Computer Network Architects use their knowledge of computer networks to design and implement computer networks. This course will help you to build a foundation in data structures and algorithms, which are essential for understanding and working with computer networks. The skills that you will learn in this course will help you to become a more effective Computer Network Architect.
Software Quality Assurance Analyst
Software Quality Assurance Analysts use their knowledge of software quality assurance to test and evaluate software systems. This course will help you to build a foundation in data structures and algorithms, which are essential for understanding and working with software systems. The skills that you will learn in this course will help you to become a more effective Software Quality Assurance Analyst.
Database Administrator
Database Administrators use their knowledge of databases to design and implement database systems. This course will help you to build a foundation in data structures and algorithms, which are essential for understanding and working with database systems. The skills that you will learn in this course will help you to become a more effective Database Administrator.
Web Developer
Web Developers use their knowledge of web development technologies to build and maintain websites. This course will help you to build a foundation in data structures and algorithms, which are essential for understanding and working with web development technologies. The skills that you will learn in this course will help you to become a more effective Web Developer.
Information Security Analyst
Information Security Analysts use their knowledge of information security to protect computer systems from security threats. This course will help you to build a foundation in data structures and algorithms, which are essential for understanding and working with information security systems. The skills that you will learn in this course will help you to become a more effective Information Security Analyst.
Information Technology Specialist
Information Technology Specialists use their knowledge of information technology to support and maintain computer systems. This course will help you to build a foundation in data structures and algorithms, which are essential for understanding and working with computer systems. The skills that you will learn in this course will help you to become a more effective Information Technology Specialist.
Computer Scientist
Computer Scientists use their knowledge of computer science to design and implement computer systems. This course will help you to build a foundation in data structures and algorithms, which are essential for understanding and working with computer systems. The skills that you will learn in this course will help you to become a more effective Computer Scientist.

Reading list

We've selected 12 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 Master the Coding Interview: Data Structures + Algorithms.
Comprehensive guide to coding interviews, providing both general and specific tips and advice for successful coding interviews. It is helpful for additional reading and to prepare specifically for interviews.
Introduction to Algorithms, 3rd Edition is the leading textbook used in the analysis and design of algorithms. classic resource for computer science students and professionals and provides a comprehensive overview of algorithms and data structures.
The Algorithm Design Manual, 3rd Edition comprehensive and practical guide to algorithm design techniques. valuable reference for both students and professionals, and provides a detailed look at how to design and implement efficient algorithms.
Algorithms, 4th Edition provides a comprehensive and up-to-date treatment of data structures and algorithms for students and professionals alike. This classic textbook is used in universities worldwide and provides a solid foundation for understanding the design and analysis of algorithms.
Comprehensive textbook covering data structures and algorithms in Java. It is suitable for both students and professionals, and provides a solid foundation for understanding the design and analysis of algorithms.
Comprehensive textbook covering data structures and algorithm analysis in C++. It is suitable for both students and professionals, and provides a solid foundation for understanding the design and analysis of algorithms.
Comprehensive textbook covering data structures and algorithms in Python. It is ideal as a textbook or for further study in data structures and algorithms.
This textbook comprehensive introduction to the field of algorithms and data structures. The focus of the book is on the analysis of algorithms and their applications.
This textbook comprehensive introduction to the field of data structures and algorithms. The focus of the book is on data structures and algorithms for manipulating data in memory.
This textbook comprehensive introduction to the field of data structures and algorithm analysis. The focus of the book is on data structures and algorithms for manipulating data in memory.
This textbook comprehensive introduction to the field of data structures and algorithm analysis. The focus of the book is on data structures and algorithms for manipulating data in memory.
Comprehensive guide to data structures and algorithms in JavaScript. It provides a thorough overview of the most important data structures and algorithms, and is particularly useful for those interested in web development.

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