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 ...

Focuses on statistical algorithms and methods, and emphasizes model interpretability and understanding the processes that generate real data. Applications are drawn from computational biology and ...

model, and visualize data. Analysis techniques are drawn from mathematics and statistics, computer and information science, machine learning, and several other areas. DPAC provides instruction, ...

Du Bois’ pioneering work in data visualization remains highly relevant today as data literacy becomes increasingly essential ...

Data Science Research at the College of Computing & Informatics (CCI) at Drexel University explores very large data sources including selection of data and evaluation of information quality, and ...