Aimed at making the cloud more data-friendly, IBM's new Data Science Experience is a native Apache Spark platform for data scientists and developers.

After you graduate, you can continue building experience as you work in professional data science roles, most likely starting with an entry-level position.

Learn how to become a data scientist—along with data scientist requirements, salary, job outlook, certifications and data scientist career paths.

How to Become a Data Scientist If you want to become a data scientist, gaining a combination of technical and non-technical skills can help, and many of these can be developed through programs such as ...

Experiential learning is central to the Statistics and Data Science experience. Through internships, research, and study abroad programs, you’ll apply classroom knowledge to real-world problems, ...

Data science is a method to transform business data into assets that help organizations improve revenue, reduce costs, seize business opportunities, improve customer experience, and more.

IBM Research is pairing its Jupyter-based Data Science Experience notebook environment with its cloud-based quantum computer, IBM Q, in hopes of encouraging a new class of entrepreneurial user to ...

A day after Microsoft pledged an “extensive commitment” to large-scale data processing engine Apache Spark, IBM today announced Data Science Experience, a fledgling cloud-based develop ment ...

Purdue's Data Mine program is it provides internship-level experience with an educational level of support.

Compared to other technical fields, there are fewer women and under-represented minorities studying data science today.