How to Prepare for the Data Science Interview in 2022
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Video Breakdown:
0:00 - Introduction to preparation framework
0:26 - Researching the data science role
0:55 - The 10 different data science technical topic groups
2:35 - Benchmarking your skillset
3:54 - Building a daily study plan
4:35 - Successful member data
5:26 - Make solving questions easy
5:55 - Set a reminder
6:26 - Get interview feedback
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#how_to_prepare_for_the_data_science_interview #data_science_interview #data_science_interview_questions #data_analyst_interview #data_engineering_interview #data_science_interview_tips #data_science #data_science_for_beginners #interview_preparation #data_analytics_interview_preparation #facebook_data_science_interview #amazon_data_science_interview #google_data_science_interview #cracking_the_data_science_interview #data_science_interview_2022 #data_science_courseКомментарии:
Hi Jay , is the product metrics same as performance metrics ? if no , can you explain what product metrics is ??
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Hey! Is there any way I can contact you? I tried sending you a message with connection on LinkedIn
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I refuse to rate myself on skills, but I make this exception: at databases, I am a zero. Or maybe a 1.5. Databases just haven't come up much in my career. Otherwise, I believe I have a pretty good foundation in all other aspects of Data Science from my past work in science, art and software. So that's one area I know I need to study. But what else should I upskill on? That is my mission the next month or two.
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If a graduate student wants to get in the data science filed(as a Data Analyst), how much estimated time according to you should be dedicated to grind and study before applying for jobs? (I graduate in May 2022 and am a MS-CS student)
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