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 […]
QuantHub Learning 101 is a series that explores the learning science behind what makes our product effective. This post discusses our unique approach to content curation and how we future-proof learning. “Future-Proof” has become quite the buzzword. Being future-proof means the ability to not need replacing or updating as technology advances. Technological Progress is inevitable […]
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 […]
QuantHub Learning 101 is a series that explores the learning science behind what makes our product effective. This post discusses microlearning as the solution to overloaded calendars and short attention spans. Why Microlearning Makes Sense A recent McKinsey survey revealed that 87% of organizations are experiencing skill gaps or expect them to emerge in the […]
QuantHub Learning 101 is a series that explores the learning science behind what makes our product effective. This post discusses spaced repetition learning as the solution to the forgetting curve. Or, in plain language, we discuss in this post how to stop forgetting important information! Recently, I was asked to recall my best and worst […]
Data literacy skills are increasingly top-of-mind for corporate learning and development initiatives. A recent webinar guest, Daryl D’Cruz, shared, “data literacy skills are the building blocks of digital transformation.” Who needs Data Literacy Skills? The definitions of “data literacy” vary. At QuantHub, we know that the level of data skills needed in some roles is greater […]
Data stewardship is described by DAMA International (a global data management community) as the accountability and responsibility for data and processes that ensure effective management and use of data assets. According to DAMA, the stewardship of data “can be formalized through job titles and descriptions, or it can be a less formal function driven by […]
What’s Your Data Science Dream Job? Data science jobs abound. So we’ve seen a dramatic rise in undergraduate and graduate student enrollments in data science and related degree programs as data literacy skills is becoming more and more important in the business world. QuantHub experienced firsthand this growing enthusiasm of students seeking to become a data scientist during […]
If you’re a budding Data Scientist with no programming background, or a business person who needs to dabble in data science, learning to code can be a daunting prospect. It seems that now, learning Python for data science is the best route. Here’s 5 reasons why. What Programming Language is Most Useful for Data Science? […]
How to build a data analytics team – a webinar Advanced Analytics Team | Artificial Intelligence | Data Science | Data Skills | QuantCrunch | Webinar For Part 2 of QuantHub’s webinar series, we were joined by three leaders in the Data Science field to discuss building teams, how to avoid working in silos, the […]
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