Lol. Once you understand the underlying theory, there's another section called core machine learning which covers the standard algorithms and techniques used to implement the models. If I'm in an interview and they come with some questions like the "how much would you charge to wash all the windows in X place " your company just went into the bottom of the list of potential companies to work for because that shows me as a potential employee and asset to your company that 1) you don't even have the interest/skills to come up with questions that test the ability of someone in a real world setting that applies to your company , 2) you probably googled these bunch of questions just to pad your interview process. The simple and straightforward approach to teaching programming languages like SQL, Python, and more makes this platform popular and one of the best alternatives to LeetCode. I could throw the how many golf balls in a bus and maybe you remember exactly the dimensions of a school bus. I'm not going to continue with this as it is obviously a waste of time. Leetcode SQL. Of course data science people will not use those leetcode type questions in real life and will most likely rely on importing … The amount you would be getting flustered by being asked that question would disqualify you too. For example the candidate has worked extensively with tree based models, you know this from their resume work projects, you have asked them to walk through the implementation of something they built at their job, but then go on to ask questions that deal only with neural nets when they don't have that in their experience, they have informed you after you have asked that they don't really have much practical application of neural nets. If you intend on doing basic data mining and develop algorithms, it is a key requirement. Just be glad that you don't have to code in C/C++ or Java everyday.... ;), [–]nomowolf 0 points1 point2 points 2 years ago (1 child). I mean what the heck. Don't make them extremely long and intensive, people have lives and better things to do. Honestly the same argument can be made for most software engineering jobs. However, others such as StrataScratch, DataCamp, Confetti.ai, and HackerRank focus to provide resources to build your understanding through practicing real-world problems. Good luck to your company there bro, [–]mtl_economics 4 points5 points6 points 2 years ago (0 children), For fun I googled that 3599 question and it showed up on Tesla's glassdoor. REDDIT and the ALIEN Logo are registered trademarks of reddit inc. π Rendered by PID 9785 on r2-app-067690931eb403c3f at 2021-02-13 19:18:17.654040+00:00 running b9e2eac country code: US. [–]lovelyvanquyen 5 points6 points7 points 2 years ago (2 children). 2 min read. The only one I remember was the valid braces problem from Codewars. I recently received a job offer from one of FAANG. DataCamp is meant to be a streamlined way to learn skills like SQL, R or Python, Statistics and more through video tutorials & coding challenges. While the previous alternative is best suited for beginners, StrataScratch is one of the best platforms for those who have some basic knowledge and for those who are looking to test and grow their data science knowledge and skills. The congitive test was about five mini-games involving both numbers and logic. This Professional Certificate from IBM will help anyone interested in pursuing a career in data science or machine learning develop career-relevant skills and experience. Their interactive lessons offer heavy use of examples. Under ML theory, there are lessons that cover the underlying mathematical concepts relevant to ML models such as statistics, probability, and linear algebra that are crucial for any data scientist to understand in order to build and implement models. I mean, you obviously have your way of interviewing people. /s. I got an OA 'IBM NA Data Science (EPH 2020-2021)' which I got a referral for '326081BR Entry Level Data Scientist: 2021' ...are these questions belong to the same position? [–]neo4reo 0 points1 point2 points 2 years ago* (2 children). I don't think I am particularly good at giving interviews or doing them. Nobodys trying to nail anybody or screw a job candidate. There are so many considerations to account for and tradeoffs to make from the modeling to production transition, it is impossible for someone without a detailed understanding of the algorithm to do it. Leetcode Algorithms. That means the algorithms have to be in production at scale. … Ya that's rough. You don't need to have any coding experience to start learning how to answer the questions with data using SQL or Python on Mode Analytics. 1. [–]bdubbs09 2 points3 points4 points 2 years ago (2 children). I'm sure that works for some companies in some industries. StrataScratch offers more than 50 free data science interview questions and continues to release interview questions when they come out from companies. But to do so, it must have clear scoring/success criteria such that any way that does lead to objective success counts as success. The best thing about W3Schools is that the entire course is available free without even registration. Why? [–]daguito81 2 points3 points4 points 2 years ago (4 children). If you don't mind me asking, what languages do you regularly code in? There is data modelling, using the data that we have to estimate the data that we wish we had. [–][deleted] 17 points18 points19 points 2 years ago (12 children). [–][deleted] 0 points1 point2 points 2 years ago (0 children). So now it's pointless question and automatically assuming and judging. [–]pankswork 2 points3 points4 points 2 years ago (0 children), [–]GoodHeight 0 points1 point2 points 2 years ago (0 children), Haha definitely - thanks for the feedback, [–]schroedinger11 0 points1 point2 points 2 years ago (0 children). There are plenty of jobs out there that don't require substantial coding knowledge. I have been through a lot of interviews (and given some). They provide separate training courses for each topic. But for a data scientist? ), [–]Bayes_the_Lord 1 point2 points3 points 2 years ago (0 children). There are basically 4 Data Science Archetypes. They are designed to teach you analytical skills related to SQL and Python. It offers not only many mini practice challenges but also extensive ways to test your skills. This includes tools like databases, python libraries (numpy, spark, pandas), and terminal work. (i.e. [–]mhwalker 13 points14 points15 points 2 years ago (3 children). It could be to provide a place to prepare for an interview, build up basic skills, or test and improve your knowledge. [–]beginner_ 0 points1 point2 points 2 years ago (8 children). That doesn't mean that people have malice or negative intent towards you. Just because google stopped doing it doesn’t mean it’s bad. There is generally a primary focus of each resource. In fairness, to be an effective data scientist, you should be able to produce reasonably clear code, reasonably efficiently. Classes on Guru99 are either written or in video form. The lessons on DataCamp are in bite-sized lengths. I know the 3:15 question is recycled. You’ll also learn about other IBM tools used to support data science projects, such as IBM Watson Knowledge Catalog, Data … As seen, https://www.themuse.com/advice/7-insane-brain-teasers-you-could-actually-encounter-in-an-interview, https://www.businessinsider.com/answers-to-interview-brainteasers-2013-7?IR=T. Amazing problem solving skills. A data scientist should know how to assess, implement and improve models in my opinion, [–]vanuum 2 points3 points4 points 2 years ago* (1 child), The data science people that know nothing about coding are completely useless, they just play in jupyter notebook, write the ugliest code I ever seen and hand you their piece of shit with theirs hands up to the sky like hey I have done my jobs. https://www.businessinsider.com/answers-to-google-interview-questions-2011-11?IR=T, Where Google even went on record to say: "Those hard questions were a waste of time", https://www.businessinsider.com/how-google-hires-2013-6?IR=T, [–]jaco6y 2 points3 points4 points 2 years ago (5 children). We start by defining what is data science, what is data, and what is the role of data scientists. While data science and AI are relatively new in the market, the concept of extracting value from data has been around for a while. These are pretty famous problems and can be a little tricky to solve in one go. 579. But companies waste these by: Not tailoring them to what they are looking for, Providing little instruction or guidance and no scoring rubric, Not leveraging the result in consequent interviews, Doing them for the sake of saying they do them, What does it mean to tailor something? Finally, you will complete a reading assignment to find out why data science … [–]nivenkos 5 points6 points7 points 2 years ago (0 children). [–]neo4reo 1 point2 points3 points 2 years ago* (4 children). Then, we … It is literally not a thing at tech companies and hedge funds. But then most hiring processes are actually quite terrible. It really made me think about what sort of job I wanted. Yes, the answer can be googled but the fact that you can solve it on the spot shows ingenuity. But their Python tutorial lacks this kind of exercises and do not focus on growing your skills. You just disqualified yourself as an employer and this is not a brainteaser / puzzle just one of these pseudo-clever question often used in consulting area. The Data Science Skills Competency Model In 2018, IBM built the first Data Science Apprenticeship program in the United States. LeetCode is the best platform to help you enhance your skills, expand your knowledge and prepare for technical interviews. This is probably something that can be standardized, and made more fair. My leetcode progress. Take home assignments are much more realistic and doable. Mode Analytics might be a great LeetCode alternative for you that offers tutorials and courses for learning SQL and Python. Maybe i'm missing something but brute-forcing prime numbers is even more trivial than fizzbuzz. Currently I am a data analyst looking to level up. The issue is that Data Science itself is a very broad, interdisciplinary field; meaning that there's no set guidelines in place in regards to questions answered. Most employers have noticed that hiring without testing results in complete idiots writing crap code that can't be maintained or even looked at without breaking. Why is HackerRank / Leetcode a Thing for Data Science? Easier to learn what they expect rather than fighting against the paradigm in this case imo. That said, "Oracle" specializes in modelling. There are also high-paying jobs in finance, where I'm sure you solve interesting problems. [–]tatinthehat 1 point2 points3 points 2 years ago (0 children). If you need to ask these questions just ask the simple most prevalent ones. © 2021 reddit inc. All rights reserved. I like how you assume that just because I don't like these questions means I can't solve them or deal with them in an interview setting. Our list of LeetCode alternatives for data science focuses on 7 of the best and more niche platforms to hone your skills on data science.