I’m really glad the TH-cam algorithm has introduced me to your channel. I’ve watched a few of your videos and they’re all great. Just subscribed and am looking forward to more useful content. Thank you!
I think DS-ML interviews are more difficult than SE interviews since you get questions from three different disciplines: data structures & algo, statistics, math, & ML, databases. Initial SE interviews are focused on data structure & algo. These interview topics suggest to me that one needs a good backgroud in CS, Statistics and Math. At least need MS level education with research or a PhD. Leetcoding cosumes a lot of time. Then you need 6-12 months of full time interview prep. Few years back, I tried to prep for these interviews doing part-time leetcoding, taking ML-grad classes, and doing my job. Soon I realized that preping for SE or DS jobs requires full-time commitment; scattered mind does not help me during the interview process. So, based on my experience, if you focus on a DS-ML job, Try earning MS-degree in ML first, do some research Prepare your self to work on full time interview prep 1 year. so, if you don't have savings, you may need to work on saving $$. btw, I got my very first DS- job as a Senior-DS doing none of these in a big insurance company (F500) in the MidWewst. I experienced that interviews are relatively easy outside the tech & financial bubbles in the west & east coast, respectively. In the MidWest, I experienced that employers focus on your soft-skills, leadership, and they have a faith in your college education. I got my very first DS job without any coding interview. I did not even give good answers during the tech interview (I do not have good statistics or ML background). But the employer told me that they like the way I communicated during interviews and my commitment to learn statistics, ML, and SE. The employer even offered $10k more salary than I demanded. May be the interview structure that you presented is common in tech-companies and top-finance companies due to competition.
I don't understand what you mean by "simulating a distribution from another". I've never heard of this, and pasting that phrase in google isn't helping.
Thank you for the great video! In terms of developing algorithms from scratch, how long do you think we should aim to finish drafting up an algorithm? Would 15 minutes be too slow?
It really depends on the time of the interview and difficulty of the problem. I would say easy problems -- under 10 min. Medium to hard problems -- 15-20 min.
Hi Emma, thanks for the amazing content. I am wondering for the 3rd type of coding interview - Machine Learning Algorithm (like KNN, logistic regression), where did you practice them? Did you just create a Jupyter notebook and run some data by yourself? I didn't know any other platforms have these questions and are able to run the algorithm...
Interesting question! Naturally there is a shared foundation, so this may add to your knowledge, but when preparing for an interview my advice is to get specific with your resources. Hope this helps Xinyang Li!
I have a data science intern interview coming up with Ubisoft. I’ll go through the topics you mentioned as much as I can with the time I have. I couldn’t find a lot of sample qns for the company. So should I just practice the frequently asked questions? Thanks 🙏.
Thanks Emma, your videos are spot on, very precise content which gives much needed confidence in my preparation! Big fan, I always refer to your videos.
I've been starting to think that I made a mistake moving from a finance student to a data science student. recruiters are only preferring computer science grads. Also they add coding skills in the job description of a data analyst. Now I feel that I have only business intelligence position to consider. This is driving me mad! :(
Glad you like the video! I organized coding questions that I have done which were mostly from LeetCode or HackerRank. It's a great learning process to organize the questions by yourself. :)
Does anyone have an example of simulating a multinomial distribution using random numbers? Is the idea here to split up the distribution into different sizes using quantiles where the probability would be measured by the area covered by the quantile?
That was so great thank you so much for information, am programmer who want to start new career in data science, have done challenges before to reach where I am but you polished me more, thank you so much, am to follow you by all means seriously.
It did take a while to become confident about coding questions since they are easily forgettable. It took me 1 - 2 months but I didn't start from scratch. And it really depends on your level and the prep intensity.
Typically you can. Most companies are open to your choice of programming language. However, it's not common to use c++ in data science interviews. Hope this helps!
Wow! I’m going to have some of my team members take a look at your channel as well. This is absolutely amazing that you are even offering this content free!
hi pretty lady, I am sorry I do not know your name, at 2:12 did you mean bring part or bing part? was that a typo? I am preparing for my first DS job interview technical round this coming Wednesday 2nd March, Hope I crack it, company based in Berlin. Are you from the Bay Area pretty lady? Cause I was. Thank you, and give me more tips to crack my first data science full time job. Gracias.
Thank you for pointing that out. That should be 'being part'. In terms of resources, check out all my other videos in my TH-cam channel. Also my Medium posts (medium.com/@emmading) cover various topics like all the best resources I found in my job search, the most efficient ways to get interviews, cracking coding interviews and A/B testing questions, and dealing with difficult interviewers.
Thank you for the video Emma. Very clear distinction between the roles and the questions asked. As someone in midst of a job search I find it super helpful in my preparation.
Hey guys, I'm so sorry for the typos in the slides, below are the corrections.
At 2:12, DS roles bing (being) part of an engineering organization.
I’m really glad the TH-cam algorithm has introduced me to your channel. I’ve watched a few of your videos and they’re all great. Just subscribed and am looking forward to more useful content. Thank you!
That was a great overview on preparing for coding interviews Emma, thank you!
Thanks Data Professor!
I think DS-ML interviews are more difficult than SE interviews since you get questions from three different
disciplines: data structures & algo, statistics, math, & ML, databases.
Initial SE interviews are focused on data structure & algo.
These interview topics suggest to me that one needs a good backgroud in CS, Statistics and Math.
At least need MS level education with research or a PhD. Leetcoding cosumes a lot of time.
Then you need 6-12 months of full time interview prep.
Few years back, I tried to prep for these interviews doing part-time leetcoding, taking ML-grad classes, and doing my job. Soon I realized that preping for SE or DS jobs requires full-time commitment; scattered mind does not help me during the interview process.
So, based on my experience, if you focus on a DS-ML job,
Try earning MS-degree in ML first, do some research
Prepare your self to work on full time interview prep 1 year.
so, if you don't have savings, you may need to work on saving $$.
btw, I got my very first DS- job as a Senior-DS doing none of these in a big insurance company (F500) in the MidWewst.
I experienced that interviews are relatively easy outside the tech & financial bubbles in the west & east coast, respectively. In the MidWest, I experienced that employers focus on your soft-skills, leadership, and they have a faith in your college education.
I got my very first DS job without any coding interview. I did not even give good answers during the tech interview (I do not have good statistics or ML background). But the employer told me that they like the way I communicated during interviews and my commitment to learn statistics, ML, and SE.
The employer even offered $10k more salary than I demanded.
May be the interview structure that you presented is common in tech-companies and top-finance companies due to competition.
Thank you for the sharing!
9:46 Can u please share jupiter link or google colab link?
List of things to study. No real Python answers here.
What about a tech interview for lexisnexis data scientist/engineer graduate program??😢
Will Python be asked for Product Data Scientist interviews?
The problems you mentioned are asked in faang? Or in a small company either?
Awesome video from Emma as always! DS interviews are so tough and it sounds like we need to be a Superman to get a DS job :(
So ds algo is important for data science roles????
I don't understand what you mean by "simulating a distribution from another". I've never heard of this, and pasting that phrase in google isn't helping.
I would try searching things like "inverse transform sampling" or "inverse cdf method"
Thank you for the great video! In terms of developing algorithms from scratch, how long do you think we should aim to finish drafting up an algorithm? Would 15 minutes be too slow?
It really depends on the time of the interview and difficulty of the problem. I would say easy problems -- under 10 min. Medium to hard problems -- 15-20 min.
Beauty with coding brain ❤️😍
Hi Emma, thanks for the amazing content. I am wondering for the 3rd type of coding interview - Machine Learning Algorithm (like KNN, logistic regression), where did you practice them? Did you just create a Jupyter notebook and run some data by yourself? I didn't know any other platforms have these questions and are able to run the algorithm...
Yep, I use Jupyter notebook with sample data to practice them.
jupyter notebook idea is best i never thought thanks Emma !!! it would be lot if you share that jupyter notebook for us !!!
Can you please share your DSA qs
Will the same thing apply to data analyst interviews?
Interesting question! Naturally there is a shared foundation, so this may add to your knowledge, but when preparing for an interview my advice is to get specific with your resources. Hope this helps Xinyang Li!
I have a data science intern interview coming up with Ubisoft. I’ll go through the topics you mentioned as much as I can with the time I have. I couldn’t find a lot of sample qns for the company. So should I just practice the frequently asked questions? Thanks 🙏.
Thanks Emma, your videos are spot on, very precise content which gives much needed confidence in my preparation! Big fan, I always refer to your videos.
I've been starting to think that I made a mistake moving from a finance student to a data science student. recruiters are only preferring computer science grads. Also they add coding skills in the job description of a data analyst. Now I feel that I have only business intelligence position to consider. This is driving me mad! :(
Hey thanks for the video! You mentioned you have jupyter notebook for frequently asked questions in DS interviews. Can you please share them?
Same here
Glad you like the video! I organized coding questions that I have done which were mostly from LeetCode or HackerRank. It's a great learning process to organize the questions by yourself. :)
Does anyone have an example of simulating a multinomial distribution using random numbers? Is the idea here to split up the distribution into different sizes using quantiles where the probability would be measured by the area covered by the quantile?
I thought mathematics and statistic questions would only appear in product sense part. Would them also appear in coding part?
Just a question though. Are statistical coding questions limited to Google or other companies also ask it in data science interviews?
Thanks for the awesome video. Very helpful. Where can i find the python solution for Streaming question?
Thanks for the video. It's very helpful. This is the best video for this category. Emma is definitely the guru for this.
That was so great thank you so much for information, am programmer who want to start new career in data science, have done challenges before to reach where I am but you polished me more, thank you so much, am to follow you by all means seriously.
❤thanks
nice accent , thats my very first impression of ur video :D
How to improve coding skills specifically oops
Thank you so much, it's very detailed and helpful.
I think its very helpful, looking forward more content
Hello, such a good knowledge video.. Thank you so much for sharing.
Great content and very structured path for cracking the interview. Thanks! :)
Glad you enjoyed it!
Hi Emma, how long does it take for you to be well prepared for this algorithm coding interview questions? this part is really making me frustrated...
It did take a while to become confident about coding questions since they are easily forgettable. It took me 1 - 2 months but I didn't start from scratch. And it really depends on your level and the prep intensity.
Props to you for such content. Subbed! 😀
Like before watching the video XD
Hi Emma, Thanks a lot for this video, this was really very helpful!!
I'm so glad it helped Aakanksha!
Great video Emma. I definitely will learn this. Thank you.
I've watched almost all of your videos now. You are very much underrated. Thanks for doing this!
Amazing work Emma. I am interviewing DS jobs. Your videos really helped a lot!!!
Can I use other programming language such as c++ in coding interview? thx!
Typically you can. Most companies are open to your choice of programming language. However, it's not common to use c++ in data science interviews. Hope this helps!
Wow! I’m going to have some of my team members take a look at your channel as well. This is absolutely amazing that you are even offering this content free!
hi pretty lady, I am sorry I do not know your name, at 2:12 did you mean bring part or bing part? was that a typo?
I am preparing for my first DS job interview technical round this coming Wednesday 2nd March, Hope I crack it, company based in Berlin.
Are you from the Bay Area pretty lady? Cause I was.
Thank you,
and give me more tips to crack my first data science full time job.
Gracias.
Thank you for pointing that out. That should be 'being part'. In terms of resources, check out all my other videos in my TH-cam channel. Also my Medium posts (medium.com/@emmading) cover various topics like all the best resources I found in my job search, the most efficient ways to get interviews, cracking coding interviews and A/B testing questions, and dealing with difficult interviewers.
@@emma_ding Thank you so much!
Super helpful video Emma! Could you explain or give an example about simulating a distribution from another? Thanks!
Thank you for the tutorial!
This entire channel is wonderful! Thanks Emma. Much Appreciated. Please keep up the good work!
Glad you enjoy it! Thanks for the kind words Tahir!
Awesome! Your videos are extremely helpful, Emma
Great video. Thanks!
Thank you for the video Emma. Very clear distinction between the roles and the questions asked. As someone in midst of a job search I find it super helpful in my preparation.
Thanks Emma. Great content.
Awesome video as always. This is so helpful!
your video is so good!! Thank you so much!
You're so welcome! Appreciate the kind words Sybil!
Great video!
Great video!
This is exactly what I am looking for at this moment, the jupyter notebook idea is inspiring! I will start building my own tonight! Thanks Emma!
The book mentioned uses Java, its not as helpful.
This is amazing helpful video with more precise information.. looking forward for more videos like this...
The content is so good! I am pretty sure everyone who has found your channel has subscribed! Thanks Emma!
That was some awesome information..!
Thanks for making this video. How long is a typical coding interview?
Typically, it's 45 min to 1 hour.
I doubt whether people came here to get information or to see her😅