SQLPad, Our Story
Part 1: Laying the Foundation with SQL, 2021
Our journey began in 2021 with a single, focused mission: to provide unparalleled support for data professionals navigating SQL interviews.
Recognizing SQL's paramount significance in the realm of data science, we launched the Cracking the SQL Interview for Data Scientists course.
Given the industry's reliance on data management and processing, SQL had become the lingua franca. Our platform sought to be the bridge for many aspiring data scientists, ensuring they were interview-ready with a mastery of SQL.
Part 2: Branching into Python, 2022
As the data landscape evolved, so did our offerings.
Python's rising prominence in data analytics, machine learning, AI, and its versatility across various domains made it an indispensable skill for data professionals.
Recognizing this, we introduced a comprehensive Python Pandas course, complemented by our Python online judge. This unique platform enables users to actively solve coding challenges in Python.
With these additions, we've expanded our scope, ensuring that our community is adeptly prepared to tackle the diverse and intricate challenges inherent to the world of data. and Python online judge to solve our coding questions in Python, broadening our horizons and ensuring our community was well-equipped to face the multifaceted challenges of the data world.
Part 3: Embracing AI Services, 2023 and beyond
Our most recent transformation has been in the realm of AI.
We realized that beyond technical skills, professionals needed tools and services to holistically prepare for the competitive job market.
.Thus, we launched two new courses focusing on machine learning, an AI Mock Interview platform, providing realistic interview simulations. Alongside this, we introduced the AI Resume Optimizer and AI Career Writing services, ensuring that our users not only possessed the skills but also the means to present them effectively in the global job arena.
Today, sqlpad.io isn't just a platform; it's a comprehensive ecosystem for data professionals, guiding them from skill acquisition to landing their dream job.
(*) FAANG: facebook, amazon, apple, netflx and google
What will I get from SQLPad?
✅ You will learn the most important SQL and Python concepts and operations for a data analytics professional.
✅ You will learn tips and techniques to avoid common mistakes in a data scientist SQL and Python interview.
✅ You will develop a great SQL and Python coding style that impresses the interviewer.
✅ You will significantly shorten the path to land your dream job.
✅ You will practice and solve 217 SQL and Python exercises to fine tune your SQL and Python skills.
✅ You will get a certificate of completion after you finish the course and coding questions.
We are a dedicated team of passionate data nerds, data scientists, data engineers, product managers, full stack developers.
Coding questions solved
Commonly asked questions
Not sure if SQLPad is right for you? Wonder why you need to take the course?
Here are the answers to some of the most common questions we hear from our customers
Certainly, many customers have had their subscriptions reimbursed by their employers, enabling them to study SQL and Python without incurring personal costs.
Most companies allocate a specific annual budget (thousands of dollars) for employee training and learning, both for tax advantages and other benefits.
Furthermore, numerous companies automatically approve expenses under $100 without the need for managerial consent.
Here is a sample invoice you can use to get reimbursed.
Need some help convincing your manager? Here is a draft email for your reference:
I would like to request your support in reimbursing my SQL and Python training at SQLPad.io.
By learning SQL and Python, I can improve my productivity and work more efficiently in managing and analyzing large datasets.
I have reviewed the course materials and believe that the interactive tutorials and real-world projects would provide a comprehensive learning experience. This investment will benefit not only me but also our team and the organization as a whole. Thank you for considering my request.
You are given 10 FREE SQL/Python coding questions to try out, after that, your account will be locked.
On average, it takes about 3-4 months to finish all the coding questions.
We currently don't offer one-time orders.
However, you can subscribe to the monthly service, pay for the first month and unsubscribe.
After your subscription expires, you won't be charged the next month, and all of your solutions will be persisted and ready to be accessed the next time you re-subscribe.
Since we have already provided you a FREE tier to practice a limited set of questions, we cannot refund you once your subscription starts.
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.
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 your other subscription like Apple Music or 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.
Hi, my name is Leon Wei. Most recently, I was a senior manager of machine learning at Apple. I am currently building an AI data analytics tool: skills.ai while running sqlpad.io. You can read more about me at my linkedin profile.
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.
We created the cracking the SQL interview for the data scientist course with a beginner's mindset, and we assume our audience has 0 experience with SQL.
That's why the first 10 questions may seem to be very easy for experienced users, but you will find more and more challenging and tricky hard level questions as you move along to later questions.
The goal of sqlpad is to help people in data analytics/science quickly learn or refresh their SQL, Python/Pandas skills.
It could be for a job interview or be more productive at work.
We offer 20% off for students, educational institutions and startups. Email us (hello at sqlpad dot io) from your .edu or work email to request a discount code.
We do not offer any other discounts.
We have designed and created the entire SQL course and curated all 200 SQL coding questions single-handedly, which took us more than 3000 hours of hard work, therefore you are not allowed to use any of those questions outside of this website, without our written permission.
If you represent a company and are interested to acquire a license to use our coding questions and solutions, please feel free to contact us.
From sqlpad's founder Leon wei.
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.
As of March 21, 2023.
Those are the major version of our online playground.
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.
(Update 01/26, 2022, we now also support MySQL and Python, more info.)
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 email us if you have any questions.
Yes, we now support dark mode!
To switch between light and dark mode, simply click the toggle button located at the top right of the navbar.
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. 😃