The technical interview is unlike any other job interview: it’s a specialized, rigorous process that tests your coding skills, problem-solving abilities, and personality.
But even though interviewing for a tech job is intimidating (with whiteboard challenges, remote coding challenges, and even full days of onsite interviews sometimes), it’s a lot easier when you know what to expect and are well-prepared.
That’s why I wanted to create an epic, comprehensive guide to technical interviews for tech newbies!
There’s a lot of buzz in the tech world about data–but of course, raw data isn’t very useful on its own.
SQL (usually pronounced like the word “sequel”) stands for Structured Query Language. Essentially, it’s a language that allows communication with databases in order to manage all the data they contain. That’s the shortest possible version; for the long version, keep reading this guide to SQL!
In the guest post, Anastasia Stefanuk explains what SQL is,
Many techies are daunted at the prospect of doing programming interviews. There are so many unknowns: Will you be able to solve the problems they give you? Will you be asked to solve them on a whiteboard instead of a screen? What if there’s something you don’t understand?
A great way to prepare for your programming interview is by doing practice questions ahead of time. But don’t spend all your prep time doing this without taking the time to really understand what your interviewers are looking for while assessing you.
When you’re trying to get a job in a new industry–whether you’re a career-changer or entering the workforce for the first time–it can be hard to get a foot in the door. Everyone else may seem to already have the skills, experience, and contacts necessary.
So when you’re starting without those things, how do you catch a break? How do you make the phrase “it’s not what you know, it’s who you know” work for you?
In this guest post,
Did you know that data science and analysis positions are often the hardest ones for a company to fill? Thanks to exploding demand for data professionals, there are a ton of open roles and not enough candidates to fill them.
Translation? It’s an exciting field to get into and the career prospects are amazing.
Now, just to clear up a common misconception right off the bat: you don’t need to be a math/computer science/coding whiz to land a job in data analysis.