Mastering GOOGLE Interviews - Everyday Data Science

Join me as we delve into the world of FAANG (Facebook, Amazon, Apple, Netflix, Google) data science interviews, where the stakes are high and the questions are designed to push the boundaries of your analytical skills. Prepare to be captivated as we unravel the secrets behind these legendary interviews, revealing strategies and insights that will set you apart from the competition.

In this video, I'll tackle hard-hitting data science questions straight from the halls of FAANG companies, Amazon. From complex statistical analysis and machine learning algorithms to intricate data manipulation and optimization problems, we'll explore it all. No stone will be left unturned as I guide you step-by-step through each question, providing in-depth explanations and demonstrating the most effective problem-solving techniques.

But wait, that's not all! Along the way, I'll share real-world experiences and tips gained from my own journey in the data science field, shedding light on what top companies are truly looking for in their candidates. You'll gain valuable insights into the mindset of interviewers and learn how to showcase your skills and creativity with confidence.

Prepare to be inspired and empowered as we tackle these formidable FAANG interview questions together. Whether you're a seasoned data scientist or aspiring to break into the field, this video is your ultimate resource for mastering hard data science interview questions.

So, if you're ready to rise above the competition and elevate your data science career to new heights, don't miss out on this captivating video. Hit that subscribe button, turn on the notification bell, and join me on this exhilarating journey of conquering the titans: FAANG Data Science Interview Questions!

Timestamps:
00:00 - Introduction to the question
00:31 - Python Solution
09:52 - MySQL Solution

#DataScience #FAANGInterviews #ProblemSolving

[prateekkumar-xcuo]

Thanks for creating always informative interview or scanarios based videos, do you have any plan to create same videos using pyspark as nowdays pyspark is more preffered framework for computation as compared to just python