Multivariate data analysis can be complex and time consuming, especially when drawing insights from large datasets, and Mona says its new exploratory tool is designed to streamline and simplify this ...

Students will learn the fundamentals of data structures and complexity theory, data wrangling, exploratory data analysis, data visualization, and basic machine learning algorithms such as regression, ...

Scott Nelson, President & CTO, Tamarack Technology Bob Rinaldi, President, Rinaldi Advisory Services Scott Nelson and Bob ...

This second course of the Data-Driven Decision Making (DDDM) series provides a high-level overview of data analysis and visualization tools, preparing learners to discuss best practices and develop an ...

The Exploratory Data Analysis Problem The prudent scientist must interrogate the data with a laundry list of statistical questions to determine the data’s fit-for-use in AI and ML projects.

Area(s) of potential collaboration: Would like to collaborate with faculty who are interested in developing grant proposals that involve GIS and network analytics. Primary research focus: I study how ...

Multivariate Exploratory Analysis of Ordinal Data in Ecology: Pitfalls, Problems and Solutions, Journal of Vegetation Science, Vol. 16, No. 5 (Oct., 2005), pp. 497-510 ...

Find the best online data science certifications and develop the essential skills to open up new career opportunities in this high-demand field.