The Data Science and Modeling for Green Chemistry award aims to recognize the research and development of computational tools that guide the design of sustainable chemical processes and the execution ...

data science typically translates well to an online learning format. Students in this specialization focus on applied statistics, using algorithms to develop marketing models, predictive modeling ...

Introduces concepts and skills fundamental to Data Science including: getting data, data wrangling, exploratory data analysis, basic statistics, data visualization, data modeling, and learning. The ...

unbiased content in our editorial policy. Towards Data Science. "Data Science for History: Predictive Modeling and Problems of Scale." ...

ANOVA and ANCOVA, presented as a type of linear regression model, will provide the mathematical basis for designing experiments for data science applications. Emphasis will be placed on important ...

Data-sparse method opens door to personalized nutrition -- without the stool samples. If you eat a snack -- a meatball, say, or a marshmallow -- how will it affect your blood sugar? It's a ...

Data science is a fast growing field ... the more parameters they can include in a given model, and the more data they will have on hand for training their models. Structured data is organized ...

A refresher in calculus will provide a foundation in mathematics necessary to understand data science concepts. Topics will include matrix algebra and vector spaces, which are essential for ...

The Master of Science in Data Science curriculum consists of a total of 30 credit ... sensors networks that will provide real-time sensing for predictive ecosystem models. Vinayak Rao is an Assistant ...