I’m really glad the UA-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!
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!
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 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 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.
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.
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...
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. :)
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! :(
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 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 🙏.
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!
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!
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.
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.
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 UA-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.
![Lp. Сердце Вселенной #60 РОЖДЕНИЕ ЛОЛОЛОШКИ [Финал] • Майнкрафт](http://i.ytimg.com/vi/YoR0pAV9FVQ/mqdefault.jpg)
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 UA-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!
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!
I've watched almost all of your videos now. You are very much underrated. Thanks for doing this!
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 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 :(
Thanks for the video. It's very helpful. This is the best video for this category. Emma is definitely the guru for this.
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 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!
Nice insights. Hopefully someday I will also get change like You
Beauty with coding brain ❤️😍
The content is so good! I am pretty sure everyone who has found your channel has subscribed! Thanks Emma!
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.
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.
Awesome! Your videos are extremely helpful, Emma
Hi Emma, Thanks a lot for this video, this was really very helpful!!
I'm so glad it helped Aakanksha!
9:46 Can u please share jupiter link or google colab link?
Great content and very structured path for cracking the interview. Thanks! :)
Glad you enjoyed it!
Props to you for such content. Subbed! 😀
Amazing work Emma. I am interviewing DS jobs. Your videos really helped a lot!!!
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!
Great video Emma. I definitely will learn this. Thank you.
So ds algo is important for data science roles????
What platform do we need to use for practicing for Coding Problems for Data Scientist Like leetcode or what?
Thank you so much!
jupyter notebook idea is best i never thought thanks Emma !!! it would be lot if you share that jupyter notebook for us !!!
Awesome video as always. This is so helpful!
What about a tech interview for lexisnexis data scientist/engineer graduate program??😢
The problems you mentioned are asked in faang? Or in a small company either?
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.
your video is so good!! Thank you so much!
You're so welcome! Appreciate the kind words Sybil!
Super helpful video Emma! Could you explain or give an example about simulating a distribution from another? Thanks!
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.
Can you please share your DSA qs
Thank you so much, it's very detailed and helpful.
Thanks for the awesome video. Very helpful. Where can i find the python solution for Streaming question?
I think its very helpful, looking forward more content
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. :)
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! :(
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?
Thank you for the tutorial!
I thought mathematics and statistic questions would only appear in product sense part. Would them also appear in coding part?
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. Great content.
Hello, such a good knowledge video.. Thank you so much for sharing.
Just a question though. Are statistical coding questions limited to Google or other companies also ask it in data science interviews?
Will Python be asked for Product Data Scientist interviews?
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!
Great video. Thanks!
nice accent , thats my very first impression of ur video :D
❤thanks
Great video!
How to improve coding skills specifically oops
This is amazing helpful video with more precise information.. looking forward for more videos like this...
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!
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"
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.
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.
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 UA-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!
Like before watching the video XD
List of things to study. No real Python answers here.
The book mentioned uses Java, its not as helpful.
I doubt whether people came here to get information or to see her😅
Great video!