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Thanks for all you do. Always a joy to follow along. Wish there was more videos like this.

Thanks a million for this work, highly appreciated as i'll be applying for data positions at the end of the year. Quick observation; The cte in the third query was not used, cte = orders_per_year . And the rank was not also used either

For the question on "second highest order amount in the fashion department", should we be using DENSE_RANK() instead of RANK() - since if 2 orders have the highest amount then the third order (which is the second highest amount order) will get a rank of 3 using RANK() and a rank of 2 using DENSE_RANK()?

thanks for the video, it's really useful

thanks for all

at 27:27 do we really need to group by c.first_name and c.last_name? I mean we already grouping by c.customer_id which has a kind of one-to-one relation with the first and last name

Landed my data analyst job thanks

@tryexponent

2 ай бұрын

Congrats!! 🎉

where o.order_date in (2019 etc) should not give expected result. Need to use year(o.order_date) in(2019,2020 etc

hello! i would like get to know such information like: this interview is for what level, for instance, junior or middle, maybe senior?

I did not understand the code of the last question. He had to calculate the increase or decrease in month-over-month growth for the year 2022. What was the basis for creating the CTE for November and December (hardcoded)? In the second CTE, he filtered out only the December amount. Does it calculate and compare all the data back to January?

You can’t group by within rank function actually

How would the Lag function pick up month 11 records when there is a where filter on month = 12?

27:51 Mistake CTE order_rankings have mention but in query orders_ranked

w7.w3 wrong to group by customer and year,.. it should be only group by customer.

You also used orders_ranked=1 in your main query but your cte is orders_ranking. I don't think that'll work

The queries for sure have a lot of errors. Cant group by in rank

order_date>= YEAR(CURRENT_DATE - INTERVAL 5 YEAR);

Is this query something you'd actually be asked to write on the job?

@tryexponent

Жыл бұрын

Hey newenglandnomad9405! The complexity of queries you'll write on the job can vary depending on the role, department, and company. In many cases, you'll have the support of senior colleagues and prior discussions to guide you. Technical interviews typically focus on standard topics and concepts relevant to the job, like SQL for data science or data structures for software engineering. These questions aim to assess the candidates' technical foundations, even if the skills might not be directly used in their day-to-day tasks. So, while you may encounter similar queries in interviews, the actual queries you write on the job may differ based on the specific role and requirements. Hope this helps!

I feel like interviewer's focus on the parts that aren't really important i.e 18:20. Focus should be on testing the logic and the ability to get to the solution.

Is this mock interview for an entry-level data analyst position or a senior level?

@tryexponent

4 күн бұрын

Generally, you can expect SQL questions for both entry-level and senior data analyst positions

👍

for the last question...

@Clazer07

8 ай бұрын

With nov_dec_sum as ( Select department_name, sum(case when year(order_date) = 2022 and month(order_date) = 11 then order_amount else 0 end as nov_sum, sum(case when year(order_date) = 2022 and month(order_date) = 12 then order_amount else 0 end as dec_sum From orders o join department d on o.orders_id = d.orders_id Group by department ) Select department_name, From nov_dec_sum Order by nov_sum - dec_sum desc Limit 1

Can AI answer those questions?

SELECT customer_id, COUNT(order_id) AS total_orders FROM orders WHERE order_date >= CURRENT_DATE - INTERVAL '5' YEAR GROUP BY customer_id ORDER BY total_orders DESC LIMIT 1;