Acing the Python Data Science Interview Questions
Ғылым және технология
In this video, I talk about the different types of Python data science interview questions.
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We cover the different types of Python DS questions asked in interviews, the difference between Python interview questions and software engineering questions, and strategies on how to approach them.
Quick Links:
1:21 - Difference between software and data science python questions
7:15 - Types of Python interview questions
13:14 - Last tips!
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Пікірлер: 34
7:18 for the impatient
Thanks for the video. Visualization also plays an important role. I am a bit surprised that it is not a part of those many interview questions that you went through
You should create a similar video for SQL
Thank you. I wish I had viewed this prior to other past interviews to have a general idea of what to expect.
Thanks for the video. Very helpful. Cleared many doubts.
As a Full-Stack Data Scientist the tools I use in order of preference are SQL->Pandas->NumPy. Basically I only use NumPy if I have to (e.g. when using Scikit-learn for modeling). Also PySpark, Dask, and Joblib are super important Python Big Data tools to learn.
Thanks for sharing Data Science Jay !!!
Very clear delivery, so much helpful info
Great content! Thanks for sharing!
Love your channel! Thank you
I mainly want to point out that this video is awesome and the advice is helpful. I can also tell you probably spent a lot of time stitching the video together but I honestly think it's more unnatural than having pauses and having a natural flow in speech. Just my 2 cents, I think the video would sound better and you'd save time! Subbed and following all the same.
Awesome video this was very helpful!
Very solid content! I definitely use Pandas more often than Numpy.
Good collection of questions !
Great video!
Thank you for interview query!!!
I can't find python int. questions for machine learning engineers at facebook other than the leetcode questions?
Also many companies wants you to know concept code and logic building, they even expand it to pyspark and sql, now it has become difficult to crack some interview because topics have become vast
What is the range of hacker rank interview questions you get? It can be annoying having to memorize all types of programming for interviews and in different languages
This channel is legit!
Lol lol I recently got into data science and i use Pandas way more often than numpy and I was always asking myself when this might be a problem.
Why do companies not understand this? I was asked to have a good hacker rank score for a data analyst position. I don't mind coding but if I have good hacker rank score why would I wanna apply for a data analyst position.
What do you use instead of numpy then?
@fiddlepants5947
3 жыл бұрын
@@ajinkyabhavik341 what happens when you need to invoke some calculus in an optimization algorithm?
@fiddlepants5947
3 жыл бұрын
@@ajinkyabhavik341 Ok. So what do you use then?
@fiddlepants5947
3 жыл бұрын
@@ajinkyabhavik341 because I use numpy 😂
@fiddlepants5947
3 жыл бұрын
@@ajinkyabhavik341 and I misread your comment I think haha
Thanks for tuning in! If you're interested in learning more about Python, be sure to check out our course. It's designed to help you master the key concepts and skills needed to excel in Python. www.interviewquery.com/learning-paths/python
Because numpy is fast..
That one guy who disliked this video must be hating his life.
The Facebook example aged well haha
Useless
Great content. Thanks for sharing!