SciNet is pleased to announce the addition of a new certificate program, focused on Data Science.

As many of you know, SciNet not only provides compute cycles and storage, but also offers a wide range of education and training sessions. Users can already get a SciNet certificate in Scientific Computing or High Performance Computing when they have taken enough courses on those topics.

To reflect the growing trend in data-driven science, SciNet is now adding a new Certificate program, focused on Data Science.

To earn the SciNet Certificate in Data Science, users or students need to take at least 36 credit-hours of data science related SciNet courses such as “Hadoop workshop”, “Scalable data analysis with R / Python”, “Database Basics”, “Visualization”, and “Machine Learning”. Future courses on e.g. NoSql, statistics, and i/o and workflow, are being planned for the next academic year. Some parts of the upcoming Ontario Summer School Central to be held in Toronto in July at the University of Toronto, will count toward this certificate as well. See herefor details and registration regarding the summer school.

For other SciNet courses, you can register for on our education site, which will keep track of your progress in this new certificate, as well as for the other two certificates.