Research Guides: Data Services: Data Science

Data science is a multidisciplinary approach to extracting insights from big and increasing volumes of data. It encompasses:

preparing data for analysis and processing,
performing advanced data analysis, and
presenting the results to reveal patterns and enable researchers to draw informed conclusions.

Analysis requires the development and use of algorithms, analytics, and AI models.

Data Science at Brandeis

Data Science at Brandeis
Learn about programs and research in data science at Brandeis.
The capability of exploring, understanding, and acting on large-scale data across diverse fields has become critical to the success of future workforces and the prosperities of their societies. Researchers worldwide, including those in Brandeis, are collecting huge volumes of heterogeneous data (such as, images, graphs, music, text, videos, and more). This guide provides an introductory window into some of the collaborations and convergent solutions tackling emerging challenges to create an inclusive environment for cultivating future workforces that meet societal needs.

Python and R are two of the most useful programming languages in Data Science. Learn more about them in the Scientific Computing pages.

Kaggle.com
A free learning community and python courses for Machine Learning and data science.
Library Resources for Data Science
See more Brandeis Library Resources on the Data Science at Brandeis guide.

Google Dataset Search: Find datasets wherever they are hosted, whether it’s a publisher’s site, a digital library, or an author’s web page. It contains over 25 million datasets
VisualData Discovery: Discover computer vision datasets by category with searchable queries
Carnegie Melon University Libraries: ML and AI - Find Datasets
The NLP Index: Datasets for various natural language processing tasks