Hi, it’s Nate here with a new video on 5 coding concepts that companies will test you on in data science interviews in 2021. As you guys know, I’m always tracking and collecting interview questions from various companies to better understand what technical concepts you need to know to succeed in interviews and what skills you need to have to succeed on the job. So these are questions that . So they’re as real-time as can be. I’ve collected in the first few months of 2021 The companies that I’m sourcing from today are . I’ll introduce the coding concepts to know and then show you a real interview question I collected from the company. Facebook, Postmates, Credit Karma, Ring Central, and Twitch So let’s get started. Technical Concepts Tested Categorizations, aggregations, ratios Let’s start simple -- categorizations, aggregations, ratios -- (aren’t these 3 different concepts?) -- Yes, but they’re almost always tested together in one question. And it’s probably the most commonly tested concept on coding interviews, especially in the beginning rounds. By categorizations, I mean . I’ll stick with SQL technical concepts because I see most people use SQL on coding interviews. CASE statements in SQL Aggregations like taking the sum or average are always tested and usually are applied after the categorization takes place. But they can also take the form of a ratio. Here’s an example by Facebook ( ): https://platform.stratascratch.com/coding-question?id=2005&python= 1. Facebook Data Science Interview Question: Return the Share of Active Users Return share of monthly active users in the United States (US). Active users are ones with “open” status in the table. Here’s what the solution would look like: SELECT  active_users
/total_users: : float AS active_users_share
FROM  
                        (SELECT count (user_id) total_users,
                                          Count (CASE   
                                                            WHEN status = THEN ELSE NULL

                                                                                                                
                                                            END) AS active_users
                        FROM fb_active_users
                        WHERE country = ) subq 'open' 1 'USA' If you read this solution and it makes sense to you then congrats, you’re on the right track. So as you can see, to solve this question, you need to understand how to properly write a case statement, properly aggregate the results of the case statement, and then take a ratio from the result of the aggregation itself. All in one query. The tricky part isn’t really even those 3 technical concepts. It’s organizing your code into logical steps -- as you can see there’s a subquery to split out the logic. And there’s also a data type conversion from an integer to a float so that your output can be between 0 and 1. These are the little nuances you need to know in addition to these 3 concepts. Lots of people forget these small things, especially if you’re out of practice or nervous. 2. LEFT JOINs and Subqueries and CTEs (Credit Karma) JOINs, subqueries, and CTEs. Again, 3 different concepts but they’re always tested together to solve one problem. Here’s an example of what I mean. This question is from Credit Karma ( ) https://platform.stratascratch.com/coding-question?id=2003&python= Write a query that joins this submissions table to the loans table and returns the total loan balance on each user’s most recent ‘Refinance’ submission. Balance Per User on Recent Refinance Submission Write a query that joins this submissions table to the loans table and returns the total loan balance on each user’s most recent “Refinance” submission. Here’s the SQL code solution: l.user_id, (balance) ( user_id, (created_at) (PARTTION user_id, ) SELECT SUM FROM SELECT DISTINCT Min OVER BY TYPE Looks pretty complicated doesn’t it? It even includes other advanced concepts I’m not even covering. But you can see there’s a JOIN statement and a subquery (which could be re-written as a CTE, if you wanted to do that). What’s being tested is if you can blend two sources of data together and aggregate the data from one table, “balance” with a variable from another table “user_id”. Remember, a successful interviewee will talk through the entire logic and why they’re doing what they’re doing. 3. Subqueries in the WHERE clause (Ring Central) While we’re talking about subqueries, they can be found in multiple places --  not just at the JOIN statement like in the last question. Subqueries in the WHERE clause are also really common concepts tested and actually, it’s a question that most people get wrong. Here’s a question from Ring Central ( https://platform.stratascratch.com/coding-question?id=2017&python=) How many paid users had any calls in Apr 2020? Here’s the solution: ( user_id) rc_calls “ ” “ ” user_id ( user_id rc_users = ) SELECT count DISTINCT FROM WHERE date BETWEEN 2020 -04 -01 AND 2020 -04 -30 AND in SELECT FROM WHERE status 'paid' Subqueries in the WHERE clause allow you to quickly grab information from one table and use it as a filtering condition in the main query, like we are seeing here. So in this example, we’re grabbing the user_id of paid users from the user table and using that as a condition to find how many calls they placed in the calls table. In my experience, not many people would solve this problem in this way. Let me know if you have another approach to this problem. I’ll create a video in the next few weeks that covers all the approaches to solving this problem. 4. Data Science Interview Question from Twitch: Window functions The 4th coding concept tested in data science interviews so far in 2021 are window functions. Window functions are heavily utilized in data science work. I’ve talked about them extensively in past videos. One example of this is a question from Twitch. Twitch ( ) https://platform.stratascratch.com/coding-question?id=2012&python= Streamers Sessions By Users Who Had First Session As Viewer From the users who had their session as a viewer, how many streamer sessions have they had?  Return users id and number of sessions in descending order. In case there are users with the same number of sessions, order them by ascending user id. Here’s the solution: user_id, (*) n_sessions twitch_sessions session_type = user_id ( user_id ( user_id,
                         session_type, () ( user_id session_start) streams_order twitch_sessions) s1 streams_order = session_type = ) user_id n_sessions ,
                     User_id SELECT count FROM WHERE 'streamer' AND in SELECT FROM SELECT rank OVER PARTITION BY ORDER BY FROM WHERE 1 AND 'viewer' GROUP BY ORDER BY DESC ASC This one’s insane. And yes it did get asked in an interview. But don’t worry, in the upcoming weeks, I’ll be stepping through the solution for each of the questions I just covered. These questions take a lot of time to solve and they’re typically found in the later rounds (1) because they’re so much code but (2) because there’s so much involved that it just takes time to talk through it. 5. Date manipulations (Postmates) Lastly, date manipulations. This one is always asked on interviews because everyone in analytics from an analyst to a data scientist works with dates. It would be weird not to. Because you’re usually given a complete day, year-month-day-timestamp, but asked to aggregate by weeks, months, or years, you’ll need to know how to manipulate dates. Here’s one from Postmates ( ) https://platform.stratascratch.com/coding-question?id=2014&python= Which hour of the day averages the highest order volume? Here’s the solution: date_part ( , order_timestamp_utc) , ( ) n_orders posmates_orders date_part ( , order_timestamp_utc) ( ) SELECT 'hour' AS HOUR Count id FROM GROUP BY 'hour' ORDER BY count id DESC This one requires you to extract the hour from the datetime in order to find the highest order volume. So it’s really just a matter of knowing these datetime functions, like date_part(). And as you probably have guessed, I have a few videos on that too. Check them out in the description. Conclusion Did you think these questions were difficult to answer? If so, I’m going to step through all the solutions in my next Youtube videos. I also have a link to all the questions in the video and resources I’ve put together on these technical topics. Remember, these are interview questions that were asked in the first few weeks/months of 2021, so many companies are definitely requiring you to master these 5 technical concepts. I hope this was helpful. Let’s start with these 5 questions in the next few videos on my YouTube channel and see how we can solve them together. Until then guys, keep practicing and learning. Hope this is helpful. Watch the video here: Also published on: https://www.stratascratch.com/blog/data-science-coding-interview-questions-with-5-technical-concepts/

Credit Karma

Facebook

YouTube

Read My Stories

Too Long; Didn't Read

In your car, at home, or at work — Bosch technology shapes many areas of life.

5 Data Science Interview Questions via Facebook, Twitch, and Postmates

Too Long; Didn't Read

Companies Mentioned

Nate at StrataScratch

About Author

TOPICS

THIS ARTICLE WAS FEATURED IN...

5 Data Science Interview Questions via Facebook, Twitch, and Postmates

Too Long; Didn't Read

Companies Mentioned

Nate at StrataScratch

About Author

TOPICS

THIS ARTICLE WAS FEATURED IN...

RELATED STORIES