I was surrounded by talented individuals who were not only smarter than me, but also had strong interpersonal skills that I lacked. However, I paid no attention to this and eventually graduated from university with a good academic record.

A few months before graduating, I had started to apply for jobs in the tech industry. I applied for over 500 entry level positions across the US in several different companies and landed only 2 phone interviews. In those interviews, I was exposed.

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I had achieved nothing. I had no value to provide to any company apart from my strong academic record at a good university, which showed nothing about my ability to work with others or my problem solving skills.

I was encouraged to join the growing online community for the course (UPDATE: over 150,000+ students are now part of the Zero To Mastery Private Community) and met many individuals who wanted to achieve the same goals but often without the resources that I already had: relevant college education at a top university.

Never had I seen such dedicated and hard working individuals who started from little to no development experience to achieving their dream job in the tech industry. For the first time in my life, I was inspired to work hard to achieve my goals and help others achieve theirs.

Unfortunately, my time at Apple lasted only about 9 months as I was on a contract. However, I was able to utilize everything that I had learned from my colleagues at Apple and Zero To Mastery to propel me to my next destination: Amazon!

Your technical skills are important but focus on building soft skills. Soft skills such as communication and leadership will truly determine whether you can work with others and unlike your technical skills, your soft skills will assist you at ANY job.

Editor's note: if you're serious about getting hired at a big tech ("FAANG") company like Sheel and want a step-by-step guide and framework for solving their toughest questions then considering checking out Master the Coding Interview: Big Tech (FAANG) Interviews

The ultimate coding interview bootcamp to ace your coding interviews and land your dream job. Learn data structures & algorithms and the exact steps to take to get more interviews, more job offers, and a higher salary.

Many developers who are self taught feel that one of the main disadvantages they face compared to college-educated Computer Science graduates is the fact that they don't have knowledge of algorithms, data structures and the notorious Big-O Notation.

By the end of this course, I'll ensure you're on the same level as someone with a Computer Science degree by teaching you the fundamental building blocks of Computer Science. This will give you a big boost during interviews.

If you're serious about getting hired as a Developer and competing for jobs against Computer Science & Bootcamp grads, I can guarantee you that this coding interview bootcamp will help you succeed like never before.

The ultimate coding interview bootcamp to help you ace your coding interviews and land your dream job. You'll not only learn data structures and algorithms but also the exact steps to take to get more interviews, more job offers, and a higher salary.

Completely updated for 2024! We guarantee you that this is the best coding interview bootcamp that you can find if you are serious about learning data structures & algorithms, want to make up for not having a Computer Science Degree, and want to get hired as a Developer at the company of your dreams.

Many developers who are "self taught" feel that one of the main disadvantages they face compared to college-educated Computer Science graduates is the fact that they don't have knowledge of algorithms, data structures and the notorious Big-O Notation.

There's never a bad time to learn in-demand skills. But the sooner, the better. So start learning today by joining the ZTM Academy. You'll have a clear roadmap to developing the skills to build your own projects, ace your coding interviews, get hired, and advance your career.

Your instructor (Andrei) isn't just an expert with years of real-world professional experience. He has been in your shoes. He makes learning fun. He makes complex topics feel simple. He will motivate you. He will push you. And he will go above and beyond to help you succeed.

I stayed with that job for around 2.5 years, but while I was there, I spent my part time learning how to build websites. I found it extremely helpful to also freelance on the side to help me continue to learn new things while also earning some extra cash at the same time.

I searched around and found the Zero To Mastery Complete Web Developer course, which helped me tremendously. I learned not just how to build projects, but also what it is like working in the tech industry, and started to get a deeper understanding of programming in general.

There were some slight difficulties in understanding how things worked under the hood, especially when I started learning React, but I kept asking questions in the Discord community and dug through the internet to find solutions (one of the key skills of a developer!).

I only did the free work for a short time until I had some projects in my portfolio. On top of that, I also worked on my own blogs and projects. All of this worked sharpened my skills and really helped me understand how to put the theory from courses into action.

Applying directly on the Google careers page and getting an interview is hard unless you are from a prestigious university or have the keywords in your resume with the right experience that a team might be looking for.

That's when I started preparing for Algorithms and Data Structures seriously. There was a six month hiring cooldown so during that time I practiced more questions and patterns with the goal of reapplying down the line.

The Paypal offer was good but I wasn't interested in the project so I passed, while the others... well I'm not too sure where I failed to be honest. I passed the technical questions easily enough but ah well!

Then one fine day a recruiter from Google approached me who was incredibly friendly and wanted to put me through their hiring process. She asked me how much time I needed to prepare, so I asked for about one month and later extended it by two more weeks.

Editor's Note: what impressed us the most about Faiz wasn't that he ultimately got hired at Google. It was that every time he got knocked down and "failed", he didn't quit and give up... he got back up and kept trying. And clearly it paid off.

The interview process at Google is way different from other tech companies that I interviewed with or even got hired at. The other companies mostly ask questions based on experience and technical knowledge of what they were hiring for, but with Google I think I did 6 interviews across a broad range of things.

I was lucky that all the questions asked in each of the coding interview rounds were medium easy to medium problems in Leetcode (although no exact questions from Leetcode were asked so I don't recommend just memorizing questions... learn to use a framework like what Yihua teaches).

Before I took the Google position, I worked as a Software Engineer at Callsign in Abu Dhabi. I had already interviewed at Google but couldn't join due to a hiring freeze, and so worked elsewhere until I heard more.

You can check out all of the courses here. We have a whole selection ranging from coding, design, cyber security, ethical hacking, blockchain, and much more, as well as courses specifically designed to help you get hired, even without a degree!

You answer some simple questions and then it helps you not only find the best role and industry for you and your goals, but it also helps you learn what you need to learn in what order, so you can get hired asap.

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Data structure is a storage that is used to store and organize data. It is a way of arranging data on a computer so that it can be accessed and updated efficiently. Each data structure is good and is specialized for its own thing.

A hash function takes a group of characters (called a key) and maps it to a value of a certain length (called a hash value or hash). The hash value is representative of the original string of characters, but is normally smaller than the original.

Hashing is done for indexing and locating items in databases because it is easier to find the shorter hash value than the longer string. Hashing is also used in encryption. This term is also known as a hashing algorithm or message digest function.

Hash tables have incredibly quick lookups, but remember that we need a reliable collision solution; normally, we don't need to worry about this because our language in the computer beneath the hood takes care of it for us.

A linked list is a common data structure made of one or more nodes. Each node contains a value and a pointer to the previous/next node forming the chain-like structure. These nodes are stored randomly in the system's memory, which improves its space complexity compared to the array.

In computer science, a pointer is an object in many programming languages that stores a memory address. This can be that of another value located in computer memory, or in some cases, that of memory-mapped computer hardware. 152ee80cbc

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