Practice Data science mock interviews to get a job at Google, Meta, Amazon, etc.

Unfortunately there’s no cookie cutter answer to that question as every situation is different. We recommend doing one or two sessions with a coach to get started. They’ll be able to give you an assessment of how many sessions you’ll need overall.

No credits never expire.

Yes, unused credits can be refunded within 30 days of getting purchased. After 30 days the credits cannot be refunded anymore, but you can still use them at any point in the future.

If you do get a refund it will be corrected for the discount you initially got. As an example, imagine you have purchased 10 credits, and paid 10 x $48 = $480. If you end up only using 5 credits, we will refund you the difference between what you have paid ($480), and what you would have paid had you purchased 5 credits (5 x $50 = $250). So in this specific example we would refund: $480 - $250 = $230.

Credits cost $50 to $40 per credit. The more you buy, the cheaper they get.

Coaches cost 2, 3, 4 or 5 credits per 1h coaching session.

Yes you can use credits with any coach.

Yes you can use credits for any service..

Coaching sessions can be cancelled and rescheduled for free by giving us more than 24h notice. In other words, if you decide you don’t need the session anymore and tell us more than 24h in advance it will be eligible for a refund as an "unused" session. Or if you decided that you want to do the session at another time and tell us more than 24h in advance we will reschedule it for free.

If you fail to attend a coaching session, or are more than 15mins late, the session will be considered a "no show" and it will count as having been used.

If you aren’t satisfied with one of your coaching sessions for any reason, get in touch with us within 24h of the end of your session and you’ll be eligible for a refund. We refund up to 1 coaching session per user.

Coaches’ bios might look intimidating because some of them have worked at big companies and have senior titles. But they’re all genuinely interested in helping you out. They’re here for you, will show empathy, and do their best to help you achieve your goals.

One hour might not seem like a lot. But coaches are used to making the most of the time. They’ll come ready to the session so you can cover the topics that are important to you and walk away with concrete next steps.

IGotAnOffer Ldt is a UK-based company registered with number 09187044. It was founded by Max Serrano in 2014 as a side project and he started focusing on it full-time in 2018. Max now lives in France, his home country. All coaches on IGotAnOffer have either gone through an ID check or a 30-minute Zoom call to verify their background. You can check our Google Reviews. If you still have doubts, we also recommend reading our blog content or checking our YouTube channels: Product, Engineering, Consulting.

In a 1h mock interview session, you’ll spend 45 minutes being interviewed by your coach and they will give you feedback on your performance for 15 minutes. They will identify your weak points, give insightful, actionable advice on how to improve, and give you more confidence going into your real interviews.

To effectively prepare for Data science mock interviews, consider taking the following two key steps.

1. Familiarize yourself with the interview questions asked for the specific role and company you’re interviewing for. You can find example questions for most roles on our blog as well as on Glassdoor.
2. Practice answering questions by yourself. An important part of interviewing is how well you communicate. So, when practicing by yourself it’s a good idea to talk out loud even if it might feel awkward at first.

Data science interviews can be challenging because you need to make a strong first impression, showcase your skills effectively, and demonstrate that you align with the company's culture and values. However, in our experience, if you prepare adequately for your interviews it is really feasible to stand out from the rest of candidates and get an offer.