Common general questions.
I’ve been using SQL for over 10 years, and it is still my go-to programming language to prepare data.
Before that, I lead a team of data scientists and engineers at Chegg, helping students or young professionals to improve their performance at school or work.
I also worked as a research scientist at Amazon, focusing on building a large-scale real-time pricing optimization engine for their online retail business.
I have designed and created the entire SQL course and curated all 150+ SQL coding questions single-handedly, which took many long hours of hard work during nights and weekends, therefore you are not allowed to use any of those questions outside of this website, without my permission.
If you represent a company and are interested to acquire a license to use my interview problems and solutions, please feel free to contact me.
After launching the Cracking the SQL Interview for Data Scientists course, I realized the need for my students to easily follow the course and practice SQL coding problems.
Since I can't find a solution online, I built SQLPad.
All the SQL exercises can be practiced in a browser, and my students don't have to waste hours configuring the database on their own computers.
Absolutely, we have many customers who successfully expensed their monthly payments from their employer.
Most companies have a dedicated training/learning budget for their employees, and some companies auto approve for any amount less than $100.
You will receive an invoice and receipt from sqlpad.io which you can submit for reimbursement.
The goal of sqlpad is to help people in data analytics/science quickly learn or refresh their SQL skills.
It could be for a job interview or be more productive at work.
SQLPad is the Leetcode alternative that makes learning and mastering SQL for data analytics professionals instead of software engineers. It creates a complete SQL mastery path for all data scientists.
🧑💻 Our approach to tackling a SQL interview is to first teach you SQL fundamentals with the cracking the SQL Interview for data scientists course before asking you to jump into the coding war.
📹 More than 20 video lectures to learn SQL fundamentals and tips and tricks help you understand what a SQL interview is about.
🏋️♀️ After you grasp the basics, you then jump into SQL coding questions that challenge you and make sure you mastered those SQL fundamental concepts.
😱 Leetcode jumps directly into some super long, hard-to-understand SQL coding questions that may frustrate you, especially if you just started.
📈 Instead, SQLPad has a more gradual, more user-friendly learning experience for all SQL skill levels.
🍿 The first 80 SQL coding questions are based on the same Movie rental database, which resembles a real-world commerce business.
🤗 From easy-level questions to challenging ones, you gradually build up a good understanding of the database schema by practicing those questions.
👩💻 And by the time you are to solve some of the most advanced SQL interview questions (#58-80), such as WINDOW functions and LAG/Lead, you are already familiar with those tables. You can jump right into the coding environment after learning the concepts.
The Cracking SQL Interview course is a comprehensive course but is really focused on improving your SQL interview skills, with tips and techniques that I've learnt from interviewing thousands of data professional candidates. It saves time by concentrating on things that really matter.
We have seen satisfied customers ranging from fresh college STEM students searching their first industry jobs, and young professionals who want to switch their career track to work on data science.
SQLPad and the SQL interview course significantly improved their hands-on data processing capabilities, with laser-focused learning materials, to help land their dream job offers.
Common account questions.
Absolutely, congratulations, and we totally understand you need to take a break and celebrate.
To cancel your subscription, simply:
1. Sign in to your account, go to your account dashboard, then click Manage Plan.
2. A customer portal page will pop up (Hosted on Stripe). Follow the step-by-step instructions to cancel your subscription.
What happens after?
You will still have access until the end of your subscription period, similar to Netflix.
If you want to delete your account permanently, shoot us a message with your username and email, and we will delete your account within 24 business hours.
You reach your free tier limit when one of the following happens:
1. You practiced a Medium or hard level question in the last 24 hours;
2. We offer a limited number of coding questions so you can get a sense of how sqlpad works, and you have practiced all of those questions.
Once you reached the free tier limit, your account will be locked.
Upgrade to a paid plan unlocks your account immediately, and we really appreciate your support of becoming a paid member.
Cancellation and Refund Policy
1. Monthly/Quarterly subscriptions
Once your subscription starts, you CAN NOT get a refund for any payments you've already made.
If you don't want to subscribe anymore, cancel your subscription.
You will have access to the subscription until the end of the period you have paid for.
2. One time purchase
Unfortunately, we can not refund one-time purchases, including but not limited to EBook, Ultimate Bundle, and Job Search ultimate bundle.
To join our slack group and learn SQL together, a paid plan is required.
You can click on that link and join our Slack group, and I look forward to seeing you all there on Slack. 😃
Common technical questions.
Great question, SQLPad's online playground, and the coding challenge's online judge is currently based on the latest Postgres.
Its query syntax is similar to other databases such as MySQL or Microsoft SQL Server, one of the major differences is on Postgres's DateTime related functions.
More details can be found here: https://www.postgresql.org/docs/current/functions-datetime.html
For example, there is no datediff function in Postgres, but you can subtract one DateTime column from another directly using the minus '-' operator, which is actually quite convenient and easier to type once you get the hang of it.
If you would like to see other database engines implemented on SQLPad, please let us know.
There is definitely a lot to prepare for your first job hunt, especially given the current COVID-19 situation, hiring managers to receive a lot more applications from qualified candidates, and it pushes the hiring bar significantly higher than before.
If you are interested to know more about how to prepare a data scientist interview, I wrote a blog to explain different types of data scientists tracks.
And if you are interested in finding a job search mentor to help you get started with a concrete plan. Feel free to hire me.
Good question, I created the solutions in a specific style/format (e.g., using IN instead of JOIN), so my students who take the Cracking the SQL interview for Data Scientists Course can follow along.
I have been gradually adding more solutions (optimized) and will indicate if that solution is for more advanced users.
If you have a better solution than mine, please feel free to let me know!
SQL is a must-know programming language for any analytics track data scientists, it is the lingua franca for processing and managing data in the industry. I’ve been using SQL for many years, and it is still my go-to language to prepare and manage data.
However, it is not a strong-typed language, and there are many popular database systems with different syntaxes and built-in functions, it could be very confusing for first-timers.
As a hiring manager or part of the hiring committee, I often ask a lot of SQL questions during a data scientist job interview, and to make sure the candidate will be hands-on at work.
However, in my 15 years career, I have met so many fresh college graduates or young professionals starting their job searches without solid coding skills in SQL, and in the end, they didn’t get a job offer.
The SQL interview can bear other names and may be called Technical Analysis or Data Interview during a FAANG company interview, you might be asked to perform a series of SQL operations to extract data and insights, and answer follow-up questions about their products.
(*) FAANG: Facebook, amazon, apple, Netflix and google
Have more questions? Please feel free to contact us, we read and respond to every email you send us, just give us some time. 😃