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SQL for Data Science Interviews

With Tina Huang

Ace the SQL part of any data science job interview and get hired. Revise SQL essentials, improve your communication style and tackle the most challenging follow-up questions with ease.

23 Lessons
2 hours
Certificate
Limited Time Offer - 50%
$49.50 $99.00
Billed once. Lifetime access to all course materials and updates.

Discover the Five-Step Framework to the Data Science Interview Success

The SQL for Data Science Interviews course helps you become the most confident candidate in the room. Follow a proven methodology, discover how to avoid common mistakes, practice SQL interview questions, and impress employers.

23
Lessons
2
Hours of video
2
Practical tasks

Design a Data Science Interview Strategy that Gets You Hired

Find out what hiring managers want to hear from you, how to master your interaction with them, and how to answer even the challenging follow-up questions. So, when the real interview comes, it will feel like just another practice round.
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SQL for Data Science Interviews

Packed with ten mock interviews with real-life SQL questions, this course provides you with the expert walkthrough you need to feel at ease showing your knowledge, along with helpful tips on how to recover from mistakes quickly and gracefully. Tina also prepares you for follow-up questions and shows you techniques to remain calm during the data science interview.

01 Introduction 1 lesson

02 SQL Overview and Environment Setup 3 lessons

03 Fundamental SQL Components 3 lessons

04 Full Mock Interviews 13 lessons

05 Bonus 3 lessons

Who Can Benefit from This Course ?

Designed for aspiring data scientists, data analysts, and BI analysts, the SQL for Data Science Interviews course is the perfect resource for anyone who needs a winning strategy to ace the SQL part of the interview questions and land their dream job.

Billed once. Lifetime access to all course materials and updates.

Get Lifetime Access to

Certificate of Achievement

Pass the exam, showcase your skills, and bolster your data science credentials.

Self-Paced Learning

Enjoy maximum flexibility and forget about cramming against the clock.

Q&A Hub

No need to do it alone – our community of learners and instructors is there for you.

Resume Builder

Write a sharp and professional resume in minutes and impress employers.

User Dashboard

Learn with a sense of purpose. Track your progress, set daily goals, and make success a routine.

Course Materials

Get unlimited access to all course materials, downloadable resources, and content updates.

What You’ll Learn

This course will help you build a deliberate strategy when participating in a data scientist job interview involving SQL. It will provide you with confidence and methodology for demonstrating the required skills appropriately.

  • Ace the SQL data science interview
  • Build a winning strategy on how to ace data science interviews
  • Improve your communication skills and interview style
  • Learn how to anticipate and respond well to follow-up questions
  • Understand how to be confident and remain focused during SQL data science interviews
  • Reduce interview stress

Our graduates work at
Tina Huang

Meet Tina Huang

Tina Huang is an expert data scientist and popular content creator. She started her YouTube channel in 2020 and, in no time, established herself as one of the favorite vloggers in the data community, thanks to her authentic and engaging delivery style. Tina has worked at large companies such as Goldman Sachs and Meta, and continues to share exciting details about her data science career journey with her audience. Currently, she’s developing her own project called Lonely Octopus, which aims to help individuals structure their studying and land a job in the field. Tina’s course helps aspiring data scientists impress employers with their capabilities with SQL for data science interviews.

4+
Years
of Experience
513K
Subscribers
on YouTube

Buy Once.
Enjoy Lifetime Access.

One-time payment. Lifetime access to all course materials and updates.

1,877 Students Have Joined the Course!

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Frequently Asked Questions

What does ‘billed once’ mean for this course?

Unlike a Premium subscription to our platform (billed monthly or annually), acquiring individual courses requires a one-time payment. The course is hosted by 365 Data Science and comes with extra perks like a resume builder, user dashboard, Q&A hub, and gamified features.

Can I access other courses on the platform when I buy this one?

Our limited-time offer covers individual course purchases only. If you’re interested in the entire curriculum on our platform or want to enroll in a more extensive career track, consider continuing your data science journey with one of our subscription plans.

Do I have a time limit for completing the course?

Purchasing this course makes it yours forever. There is no time requirement for completing the modules or assignments. All perks and materials are accessible indefinitely—even after you complete the course. The only timed component is the exam. Whether you pass or fail, you can retake it limitless times. But you must watch at least 30 minutes of video content before each attempt.

How do I get a Course Certificate?

All enrolled students have access to the course exams—no matter how many lessons they’ve watched. You receive a Course Certificate if you get an exam score of 60% or above. Your certificate of achievement is generated automatically once you pass the exam; you can download, view, and share it anytime.

How long will my certificate be valid?

Your Course Certificate has no expiration date. Once you pass the exam, it’s yours forever. You’ll never need to worry about validity issues or retaking the course (unless you wish to refresh your knowledge).

Do I need prior experience or an academic degree to take the course?

No, there are no prerequisites for enrolling. Everything you need to know is included in the course. Unlike other platforms which usually consider mathematics and statistics as prerequisites, we offer beginner-friendly content. We explain it all step by step, including how to download and install the necessary software, e.g., Anaconda, Jupyter Notebook, Python, R, MySQL, Tableau Public, etc.