When building a data science team, the traditional focus has often been on technical skills—expertise in machine learning algorithms, statistical modeling and data analysis.

In today's data-driven world, data literacy is becoming a crucial skill across all industries. Employers are increasingly seeking professionals who can analyze, interpret, and communicate data ...

A growing community of data science expertise The diversity of UD’s data science community has expanded in recent years to include affiliated researchers from more than 65 academic units on campus, ...

Students are now able to seize the data with Northwestern’s new data science major, which began in Fall 2022. The University first approved the major in Spring 2021, followed by over a year of ...

Work with other campus partners and initiatives such as WIP to help train and prepare researchers, instructional community college and K-12 staff, and the workforce in new data science skills.

Cloud tools and technologies are influencing the future of data science work in two key areas: scaling resources and improving workforce agility. If organizations want to make use of these ...

For data science teams to succeed, business leaders need to understand the importance of MLops, modelops, and the machine learning life cycle. Try these analogies and examples to cut through the ...

Data science is the application of scientific techniques and mathematics to making business decisions. More specifically, it has become known for the data mining, machine learning (ML) and ...

Python, Julia, and Rust are three leading languages for data science, but each has different strengths. Here's what you need to know. The most powerful and flexible data science tool is a ...