While traditional data science practices have paved the way for critical insights and informed decision-making, AI has ...

Data science is booming right now, and you don’t need a fancy degree to get in on the action. It’s not too late to learn how ...

Research activities in the data science area are concerned with the development ... statistical methods include Bayesian inference, functional data analysis, large-scale statistical inference, and non ...

students learn statistics by doing—class time emphasizes problem-solving and hands-on contact with data. Many courses employ student-driven projects that allow students to pursue their interest in ...

Visualize and interpret climate anomalies using statistical analysis. Use APIs to import climate data from government portals. Visualize data in Python with matplotlib. In this module, we'll start ...

The online Master of Science in Applied Statistics program provides students ... Our 1-credit, pass/fail courses are intended to give students practice using essential data analysis and statistics ...

Chad M. Topaz and Tyrone Bass suggest five steps researchers can take to make more inclusive choices when collecting and ...

It is a biologist's daily business to look for correlations in data, and even though correlation does not imply causation, it can provide a starting point for further experiments. If manipulation of ...

The Center for Statistics and Advance Analytics provides support to Boston College researchers related to the collection and the analysis of data. This includes Data Science, Geographic Information ...

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 ...

The Master of Science in Data Science curriculum consists of a total ... His current research includes the areas of applied statistics, statistical quality control, and reliability analysis. Professor ...