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Frequently asked questions

If I'm subscribed to the free version of Data Interview Qs and I upgrade, will I get answers to past questions?

Yes, when you upgrade you will receive the solutions to all past questions you were asked under the free plan, as well as all questions moving forward.

Do you have questions from Facebook / Google / Amazon / Microsoft / etc?

Yes, our problems are a mix of both actual questions asked at top-tier tech companies, as well as tailored problems created from our panel of experts who have interviewed at top companies.

I don't have a degree in Data Science - should I still subscribe to Data Interview Qs?

While these problems do rely on a basic understanding of statistics, Python/Pandas, SQL, and ML concepts, it is not necessary to have a degree in Data Science to be able to answer them. In fact, data scientists and analysts hired at top tech companies have varied backgrounds, with some folks having formal degrees and many folks self-taught in the field of data science. If you're willing to put in the necessary effort and practice, you should be able to pick up the basics of data science through these questions.

'Data science' is a broad field, what types of roles will these questions prepare me for?

Great observation! Since the term 'data science' means many different things to many different folks (and even to hiring managers), we break our questions into the following categories:

You'll find these core skills are useful for a range of job titles: data scientists (of course!), data analysts, business analysts, quantitative analysts, and many more.

What format do the solutions come in?

All solutions will contain a clean static web page walking you through the code/logic needed to solve the problem. Additionally we offer interactive environments to run our solutions where relevant:

Why should I practice for data science and analyst interviews through an email newsletter?

Full-time students and employees are busy. Our list allows you to attempt a few questions per week, gaining consistent practice. We've found that because these questions come at a regular cadence through email, it helps folks to get into a rhythm and improve at interviewing over time, rather than all in one go. By breaking up the time in between the questions, you'll also find that you retain the information better.

I'm not actively looking for a job. Should I still sign up for Data Interview Qs?

You'll find that many of our questions can translate well to a data analyst or data scientist's daily work. Even as we've built out the questions/solutions we've been finding several valuable nuggets that have carried over in our own jobs. So, whether you're actively looking for a job, looking to keep your interview skills fresh over time, or simply looking to pull out a few applicable tricks to use in your current role -- our list can be helpful. If you're on the fence we'd recommend trying our list out (it's free!) and if you find some of the questions could be relevant (particularly as we progress with real-world datasets, models) you're always welcome to sign up for the solutions.

More questions?

You can email us at erik@interviewqs.com and we'll get back to you within a day.

See what others are saying

Deepti +

Data Interview Qs helped me cover all the basics of technical data science interviews, from SQL/Python to probability/statistics. The confidence/knowledge I gained from the service was incredibly useful, helping me land a data scientist position at Red Hat.

Dylan +

I've been on the mailing list since the initial beta, and found the questions to be very helpful with the technical side of my data science interview at Facebook, ultimately helping me land a role.

Nayana +

Data Interview Qs has been a great way to stay relevant with my data skills at Facebook, and has given me an edge in my Master’s Program in Data Science at Georgia Tech! It’s awesome to get a wide variety of questions and solutions sent to me on a regular basis.

Walker +

Data Interview Qs was very helpful in brushing up my SQL skills, providing a good mix of both the basics as well more challenging questions leading up to an interview, ultimately helping me land a job at KLA.

Melissa +

I've been enjoying the mix of questions coming out of Data Interview Qs. The balance between stats, data manipulation, classic programming questions, and SQL came in handy during my Amazon interview.

Robert +

I’m not actively looking for a job, but have found Data Interview Qs to be helpful at keeping my data skills fresh as well as providing tips/tricks to utilize in my current role at Google. It's a great product for anyone looking for practice problems on a regular basis!

The majority of premium users (90%+) who cancelled their subscription did so because they landed a job!

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