Learn how to use SQL day-of-week functions across MySQL, PostgreSQL, and SQL Server to analyze weekday trends, calculate business days, and ace technical interviews.
For job positions requiring a lot of scientific calculations, matrix observations, financial, and deep learning analysis, NumPy interview questions will almost always come up. With this, this article serves as a guide for the top 19 NumPy interview questi
A curated list of 23 real-world data science take-home assignments with solution strategies to help you prepare for interviews in analytics, ML, and SQL.
This guide will cover essential techniques for comparing dates in SQL, including the use of comparison operators, date functions, and specific examples for different SQL databases, along with interview tips and practice problems.
Meet our AI and neuroscience expert coach with professional experience in natural language processing working previously on Alexa AI at Amazon.
Interviews for customer analyst roles typically include one or more customer analytics case studies.
The January 2025 tech job market saw a surge in layoffs, continued demand for core data roles, and shifting hiring patterns as FAANG slowed while global competitors expanded.
This report explores the challenges faced by data science master’s students in 2025, highlighting gaps in career preparation, the rise of supplementary learning, and the disconnect between academic programs and industry demands.
As interviews increasingly move online, the whole concept of interviewing has changed over the past couple of years, and you have probably felt this change as well.
New Toptal data suggests U.S. tech hiring may begin to stabilize in Q1 2026, with remote and specialized roles leading a cautious recovery.
Discover the differences between an Analytics MBA and a Master’s in Data Science to determine which is right for your career.
While AI models can write code, engineers are still essential as “babysitters” to ensure safety, scalability, and real-world reliability.