
Is a PhD in Statistics Worth It?
To help answer the question, we took a closer look at salaries for data scientists and statistics PhDs, as well as some of the pros and cons of pursuing a PhD for your data science career.

To help answer the question, we took a closer look at salaries for data scientists and statistics PhDs, as well as some of the pros and cons of pursuing a PhD for your data science career.

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 article compares data science bachelor’s vs. Master's in Data Science salary and provides insights on weighing the pros and cons of each degree.

See how companies like Scale use operational efficiency to label 1M data points per week.

We can drill this down all we want, but at the end of the day, I I think maybe the phrase the hiring process is broken is prevalent for a reason

In this article, we explore clinical analytics, its role in improving patient care and healthcare operations, and the key skills needed for a career in this growing field.

Interview Query founder Jay Feng counts down ways to build passive income streams with data science. if you’re motivated and have the time and resources to invest, you can explore these ways to generate passive income with data science.

The SQL LEAD function solves the problem of accessing and comparing data from subsequent rows in a result set without resorting to complex self-joins or subqueries.

This guide provides a complete 2026-ready roadmap for becoming a data engineer, covering core skills, tools, cloud systems, real-time pipelines, hands-on projects, and career preparation.

See and learn sample machine learning algorithm interview questions that are commonly asked in data science interviews.

Since partnering with Interview Query in 2022, the platform has provided tailored learning paths, peer-to-peer mock interviews, and an extensive library of technical questions, helping students strengthen their skills in SQL, coding, and data analysis.

Learn how to present data science projects in interviews, classes or on-the-job, including tips for aligning to your audience and what information to include.