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SQL for Data Science Interviews

Complete SQL preparation guide for data science interviews: From coding questions to mock interviews

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  • Institute of Analytics
  • The Association of Data Scientists
  • E-Learning Quality Network
  • European Agency for Higher Education and Accreditation
  • Global Association of Online Trainers and Examiners

Skill level:

Basic

Duration:

2 hours
  • Lessons (2 hours)
  • Practice exams (25 minutes)

CPE credits:

5
CPE stands for Continuing Professional Education and represents the mandatory credits a wide range of professionals must earn to maintain their licenses and stay current with regulations and best practices. One CPE credit typically equals 50 minutes of learning. For more details, visit NASBA's official website: www.nasbaregistry.org

Accredited:

certificate

What You Learn

  • Ace the SQL data science interview with confidence.
  • Develop an effective strategy to prepare for data science interviews.
  • Improve your communication and interview style during SQL interviews.
  • Anticipate and respond to challenging follow‑up questions adeptly.
  • Reduce stress and stay focused throughout the interview process.

Topics & tools

theorySQLcareer developmentprogrammingsoft skills

Your instructor

Course OVERVIEW

Description

CPE Credits: 5 Field of Study: Information Technology
Delivery Method: QAS Self Study
Do you want to land your dream data science or data analyst job? Were you invited for an SQL data science interview? That’s great! You just found the perfect SQL interview preparation course! Data science interviews can be quite stressful, especially when you compete against many other candidates for the same position. To stand out, you need to ensure you have the best possible data science interview preparation. A key part of this process is the SQL interview, where employers will assess your ability to work with databases and analyze business data. It is crucial to avoid key interview mistakes, remain calm, demonstrate your thought process, and tell recruiters what they want to hear. This practical SQL interview crash course will help you ace the SQL part of any data science job interview and get hired. The training’s author, Tina Huang, will introduce you to a 5-step framework and will provide 10 mock interviews that will prepare you to tackle any SQL interview question with ease. You will find out what interviewers want to hear from you, how to master your interaction with them, and how to answer even the challenging follow-up questions they have. By the end of the course, you will know how to answer SQL interview questions with ease. So, when the real interview comes, it will feel like just another practice round. This training is suitable for graduates and young professionals who are about to apply for their first data science or data analyst role. In addition, the course can be highly beneficial for analysts who have been on the job for a few years but still feel like they can improve their SQL interviewing skills. The biggest differentiator during your interview process will be the amount of work you have put in to prepare. Companies want to hire people who are ready to go the extra mile. By taking this SQL data science interview preparation course, you will position yourself in the best way possible to succeed. The bonus content section of the SQL for data science interviews course is particularly valuable, as it includes several mock interviews with recruiters who have extensive experience hiring data scientists and data analysts. This is an unique opportunity to practice real interview scenarios and understand what to expect in terms of questions, format, and key skills needed to succeed. Naturally, this isn't the only SQL interview preparation course available online; numerous other trainings teach similar skills. So, why choose precisely this course? 1. Content quality The videos are inspired by the author’s own SQL for data science interview preparation. She shares her step-by-step experience and teaches you how to answer SQL interview questions with ease. It is a rare opportunity to access mock interviews from real-world recruiters who provide the ins and outs of the process. 2. Instructor Tina Huang has hundreds of thousands of subscribers on YouTube. She is known for her engaging delivery style and is one of the most popular voices among data influencers. Having successfully interviewed for her role as a data scientist at Meta, she now shares her insights on how to ace your data science SQL interview successfully. Click the ‘Buy now’ button and gain access to this SQL interview crash course today! Make an investment now that could change your entire career.

Prerequisites

  • Any SQL environment (such as SQLite, MySQL Workbench, or an online SQL editor).

Advanced preparation

Curriculum

23 lessons 33 exercises 3 exams

Free preview

Why Take This Course and What Does It Cover

1.1 Why Take This Course and What Does It Cover

5 min

Introduction to Section 2

2.1 Introduction to Section 2

1 min

What is SQL?

2.2 What is SQL?

1 min

SQL Server Setup

2.3 SQL Server Setup

3 min

Introduction to Section 3

3.1 Introduction to Section 3

1 min

Structure of a SQL Query

3.2 Structure of a SQL Query

1 min

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ACCREDITED certificates

Craft a resume and LinkedIn profile you’re proud of—featuring certificates recognized by leading global institutions.

Earn CPE-accredited credentials that showcase your dedication, growth, and essential skills—the qualities employers value most.

  • Institute of Analytics
  • The Association of Data Scientists
  • E-Learning Quality Network
  • European Agency for Higher Education and Accreditation
  • Global Association of Online Trainers and Examiners
A LinkedIn profile mockup on a mobile screen showing Parker Maxwell, a Certified Data Analyst, with credentials from 365 Data Science listed under Licenses & Certification. A 365 Data Science Certificate of Achievement awarded to Parker Maxwell for completing the Data Analyst career track, featuring accreditation badges and a gold “Verified Certificate” seal.

How it WORKS

  • Lessons
  • Exercises
  • Projects
  • Practice Exams
  • AI Mock Interviews

Lessons

Learn through short, simple lessons—no prior experience in AI or data science needed.

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Exercises

Reinforce your learning with mini recaps, hands-on coding, flashcards, fill-in-the-blank activities, and other engaging exercises.

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Projects

Tackle real-world AI and data science projects—just like those faced by industry professionals every day.

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Practice Exams

Track your progress and solidify your knowledge with regular practice exams.

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AI Mock Interviews

Prep for interviews with real-world tasks, popular questions, and real-time feedback.

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Student REVIEWS

A collage of student testimonials from 365 Data Science learners, featuring profile photos, names, job titles, and quotes or video play icons, showcasing diverse backgrounds and successful career transitions into AI and data science roles.