DataLemur | Ace the SQL Interview @DataLemurHQ
Follow for SQL Interview tips. Made by @NickSinghTech, Author of Ace the Data Science Interview! Start solving 200+ FAANG SQL questions for FREE 👇 datalemur.com/questions San Francisco Joined July 2022-
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SQL Interviews LOVE to test you on Window Functions. Here’s the 7 most popular window functions & some real SQL interview questions to practice these commands 👇
Years of Experience != Skill Level
CVS Health SQL Interview Question: Write a SQL query to find the top 3 most profitable medicines sold, and how much profit they made. Assume that there are no ties in the profits. Display the result from the highest to the lowest total profit.
Google's results for "SQL Interview Questions" are SUPER SHITTY. Hiring a plumber? You'd ask 'How to unclog this💩?' not 'What is a toilet🚽?' Similarly, data interviews don't ask 'What's SQL?'. They craft ask you to write SQL queries to answer realistic business questions.
The 5 most common aggregate functions used in SQL interviews are: AVG() - Returns the average value COUNT() - Returns the number of rows MAX() - Returns the largest value MIN() - Returns the smallest value SUM() - Returns the sum Let's practice these on a JP Morgan dataset:
Data Cleaning is 20% skill, and 80% patience.
If you’re starting out in Data Science/Analytics, don’t worry about probability, statistics, or Machine Learning. Start by learning SQL, then get get good at visualizing data in a tool like Excel or Tableau. At the start of your data journey, don't overcomplicate things!
SQL interview question: How would you design the DB schema for a ride-sharing app like Uber? What are some tables you'd create? What primary & foreign keys should you use? What fields should you index things on?
99% of data jobs won't ask you simple SQL interview questions like “What does GROUP BY do?" Instead, you'll have to write a SQL query which uses GROUP BY to solve a real-world problem, like in this Tesla interview question:
Solve this LinkedIn SQL Interview Question together! Given a table containing job postings from various companies on the LinkedIn platform, write a query to retrieve the count of companies that have posted duplicate job listings. Input Data & Our Solution 🧵👇
The greatest gains in your career come from the compounding interest of daily effort.
Google's search results for "SQL Interview Questions" are TERRIBLE and mislead Data Analysts/Data Scientists into studying the WRONG THINGS! Book mark this thread - we're about to cover what companies ~actually~ ask in SQL interviews, and how to best prepare for these questions!
From reviewing 50+ resumes while I worked at Facebook, the most common mistake I saw was: ❌ Stuffing a resume with irrelevant details ❌ 3 Examples of this Resume Mistake: 1. In the summary/objective, they’d talk about how passionate they were about Data Engineering (while…
Confession: I STILL mess up the SQL Order of Operations 😅 Queries get written: SELECT FROM WHERE GROUP BY HAVING ORDER BY LIMIT But their executed: FROM WHERE GROUP BY HAVING SELECT ORDER BY LIMIT Please tell me I'm not the only one who mis-orders these?
everything in data except SQL was a mistake
Microsoft SQL Interview Question: Write a query to identify the top 2 Power Users who sent the highest number of messages on Microsoft Teams in August 2022. Display the IDs of these 2 users along with the total number of messages they sent.
Learning SQL? Here's 3 big mistakes beginners should avoid when learning SQL:
It's wild to see how fast salaries can grow in Data Science & Analytics. Below is Charlotte Chaze's entire salary history which she put publicly on her LinkedIn profile!
Data Science interviews cover WAY more than just SQL. You can expect technical questions on: •Probability & Statistics •Machine Learning •Coding (Data Structures & Pandas) •Product-Sense •A/B Testing To help you prep, here's a FREE 9-day Data Interview Crash Course👇
If Eminem queried SQL 😂 Credit: @DataWithDanny
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Using both SQL and Excel on a dataset🤩 Write Queries to get what I want from the dataset, and move the table result to Excel to visualize it🤩 You can use PowerBi to visualize, your choice😘
@RaulJuncoV Yes sometimes. COALESCE is efficient and cleaner than multiple CASE statements.
@RaulJuncoV Both of these come in real handy in our reporting module which we have. Good explanation as usual Raul !!!
@RaulJuncoV We can also handle NULL values gracefully, for example in adding values in a column. For example - SELECT COALESCE(store1_revenue, 0) + COALESCE(store2_revenue, 0) + COALESCE(store3_revenue, 0) AS total_revenue FROM sales_data;
everything in data except SQL was a mistake
If you’re applying to 47 jobs, you may need 47 𝐝𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐭 resumes. Here’s why this strategy works, along with a trick for customizing resumes easily with AI: Firstly, understand this: the average recruiter spends 7.4 seconds reading your resume. Recruiters don’t have…
Here's a morning hack for you 😄
3 amazing platforms that have helped me immensely in my SQL journey!! Started ➡️ @DataLemurHQ Parallel it with➡️@StrataScratch When I was thorough with my concepts and I felt confident, I picked up @LeetCode.
Since we're apparently on a SQL roll with that last post, I also wanted to shout out @NickSinghTech's site @DataLemurHQ. Prepping for SQL skills is especially important for DS roles at small companies where you'll do a lot of your own data engineering 🔗 datalemur.com/questions
I've worked at Facebook, Google, & Microsoft. But in 2020 I left big-tech. A story about FAANG, fulfillment, and failure 🧵:
8 must-read books to land a Product Data Science or Product Analytics job: (along with a guided 12 week study plan) 🧵👇
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