9 Blunders to Avoid in Your Next Data Science Interview

Author(s): Anmol Tomar

Originally published on Towards AI.

Increase your chances of cracking the Data Science Interview.

Data science interviews can be a nerve-wracking experience, but with proper preparation, you can increase your chances of success. However, even the most well-prepared candidates sometimes fall into common traps and make mistakes that can cost them the job.

Whether you are a seasoned professional or just starting out in the field, it’s important to be aware of these pitfalls so you can avoid them in your next interview.

In this blog, I will cover 10 of the most common mistakes candidates make in data science interviews(based on my experience of taking over 50 data science interviews) and provide tips on how… Read the full blog for free on Medium.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI