Microsoft Build 2019 – This is a huge conference hosted by Microsoft for the developer community. Many of the presentation are available to watch online. Not all are data science/AI related, but many are.
Google I/O 2019 Videos – Google’s big annual conference. Nearly all of the sessions are recorded. There are lots of AI talks and demos.
AWS DeepRacer – Learn reinforcement learning by programming an autonomous car and competing in races.
Try not to exaggerate your skills. If the job sounds more engineering focused than you are wanting, be honest and say that. Data Science is getting very broad and you don’t want to get in a position that is a bad fit.
You often sound worse when you try to explain something you do not understand. Just be honest and say, “I have not needed to use that yet, can you explain to me when you have done that?”
Find the job you are looking for, not just any position someone is trying to fill.
2. Tell Stories of Your work
Talk about things you have built. If you built something as part of a team or project, tell about why and your involvement.
If you have a side project, talk about that. This is why side-projects are so important. They help you learn a lot, plus they give you something exciting to talk about, which only you can talk about.
Interviews are intimidating. There is really no way to avoid that. The best you can do is be prepared for the interview. Pramp provides a platform for practicing data science interviews. Practice makes perfect.
The year 2019 has begun and many people have plans to become a data scientist. That is because data scientist has been ranked as one of the top jobs for the last several years. After learning the necessary skills, preparing and completing the interview can be an intimidating task. That is why interview practice is so important, and Pramp provides a free online environment for practicing a data science interview.
What is Pramp?
Pramp is a free peer-to-peer matching platform that enables you to practice a technical interview. Aftersigning up, here is how the process works:
You schedule an interview by choosing a date and time for when you would like the interview to occur.
You then prepare for the interview with the materials Pramp provides. Pramp will supply interview questions and guidelines for being best prepared.
Finally, you conduct the interview where you and the other person take turns interviewing each other.
If desired, the process can be repeated multiple times.
Pramp takes two people preparing for a data science interview and matches them together.
Being on both sides of the interview is surprisingly very helpful. It allows you to practice your responses, and it allows you to understand what is important to the person asking questions. It is often more about understanding the problem and thinking through a solution, rather than identifying a right or wrong answer.
As a bit of a bonus, if you enjoyed interviewing with your peer and you’d like to practice with him/her again, Pramp has a feature for that. Who knows, that peer may become a friend or a coworker in the future.
Why Practice the Interview?
Even the best data scientists and engineers struggle to pass technical interviews. Let’s face it, technical interviews are challenging and intimidating. For many, the biggest challenge isn’t the coding question, but rather staying focused while solving a problem out loud and under time pressure in front of an interviewer.
Data from over 180,000 interviews scheduled on Pramp has shown that those who completed face-to-face mock interviews performed significantly better than those who just practiced alone. Plus, Pramp users have already found jobs at companies like: Google, Amazon, Facebook, Twitter, Microsoft, Spotify, and many others.
More About Pramp
Pramp, a Y Combinator-funded company, has tackled the challenge of technical interviews by offering a free peer-to-peer mock interview platform helping data scientists and engineers practice technical interviews. In addition to data science, Pramp also offers interviews for: