Despite the emergence of digital transformation and big data analytics more than a decade ago, research shows that roughly three-quarters of employees and managers still do not integrate data and data analysis into their jobs in a way that drives business outcomes. Can your candidates pass our data literacy assessment and prove they can increase […]
I don’t believe in “data science for all.” Just as I don’t believe everyone should be a surgeon, or an opera singer, or a pilot. I think that, like these other occupations, data science is a specialized job that requires expertise and high-level skills. Is Data Science Hard to Learn? Like any field, data science […]
Why Should Some Berkeley’s program draws on computer science, social sciences, statistics, management, and law in order to maintain one of the most multidisciplinary online programs on the market. The 27-unit online program is designed specifically for the working professional’s schedule and can be completed on one of three paths, chosen by the student: accelerated, […]
In Part 2 of our series on skills assessments , we’re looking at the issue of false negatives in tech and data talent recruitment and what roles skills assessments play. We cover why false negatives really do matter in tech recruiting, what drives this type of hiring error and what can be done to reduce a company’s […]
Newsflash: Top notch Data Scientist skills are in shortage. No wonder. Burning Glass identified more than 300 core analytical skills relevant to the Data Science industry. Whether you are looking to hire a data scientist or want to become one of the best in the field, you need to know what Data Science skills are […]
In this two-part series, we’ll look at each side of the false positive and false negative coin, starting with false positives. We’ve observed that once a hiring manager gets burned with a bad data science hire, they begin to distrust the pre-employment skills testing and the overall interview process. Some even admit to becoming very very tough […]
Advanced analytics, data science, business intelligence, data analytics, machine learning, data mining, predictive analytics…these are terms that are tossed about in the world of big data and analytics, and often used interchangeably. It’s understandable. All of these practices are related, but, they are not the same thing. When we speak to companies about building advanced analytics […]
Not only is AI talent scarce; there’s also a shortage of employees who are knowledgeable about the applications of AI-powered tools. For some organizations, it makes sense to retrain existing employees and help them understand how new technologies apply in their respective organizations. – Sameer Maskey, CEO at Fusemachines Retraining employees in new skills is not a […]
Are you frustrated with the challenge of finding talented people who don’t require a lot of time and investment to develop in order to build your data science team? You’re not alone. Recently, at a machine learning conference, we met an executive from a well-known data-driven corporation who expressed to us his weariness from the ongoing […]
QuantHub fundamentally believes diverse teams are better teams. In order to promote gender and ethnic diversity in the field of data science QuantHub sponsored two scholarships for students studying data science. We’re pleased to announce the recipients! Diversity in Data Science Scholarship Winner Reuben Fresquez is the winner of QuantHub’s Diversity in Data Science Scholarship. He is […]
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