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.
If you’ve ever built a website or app yourself, you know that for a great finished product, you need more than knowledge of coding. You also need basic design skills.
First impressions matter, and the first thing a user will judge your project on is its design. If the finished product doesn’t look good–or, worse, makes the website or app difficult to navigate–no one will use it.
By learning just a few design basics, you’ll dramatically improve the quality of your projects.