Member-only story
SQL & Database Interview Questions & Answers for Data Scientists
I started an intuitive on LinkedIn in May 2022 in which I am posting daily data science interview questions and the answers I got on each post I summarize them and post on the next day in another post. The questions are prepared by me, in addition to others that I received from my connections on LinkedIn. You are more than welcome to send me questions on my LinkedIn profile or through my personal email.
The main goal of this intuitive is to revise the basics of data science, be prepared for your next interview, and know what are the expected questions in a data science interview. For better access, the questions and answers are gathered here in these articles and also in this GitHub repository. They will be updated with new questions daily.
The questions are divided into seven categories:
- Machine Learning Interview Questions & Answers
- Deep Learning Interview Questions & Answers
- Statistics Interview Questions & Answers
- Probability Interview Questions & Answers
- Python Interview Questions & Answers
- SQL & Database Interview Questions & Answers[You are here!]
- Resume-Based Interview Questions & Answers
If you would like to participate in answering these questions follow me on LinkedIn, I post new questions at 8 pm (EEST).
If you want to study Data Science and Machine Learning for free, check out these resources:
- Free interactive roadmaps to learn Data Science and Machine Learning by yourself. Start here: https://aigents.co/learn/roadmaps/intro
- The search engine for Data Science learning resources (FREE). Bookmark your favorite resources, mark articles as complete and add study notes. https://aigents.co/learn
- Want to learn Data Science from scratch with the support of a mentor and a learning community? Join this Study Circle for free: https://community.aigents.co/spaces/9010170/
If you would like to start a career in data science & AI and you do not know how. I offer data science mentoring sessions and long-term career mentoring:
