Students will master elements of the data science workflow through a series of short R programming exercises reinforced by a full-spectrum, integrative final project. Presentation skills are an ...

Explore the legal, policy, and ethical implications of data. Examine the issues that arise at each stage of the data science workflow including data collection, storage, processing, analysis and use.

An introduction to the data science workflow involving the acquisition, processing, transformation and integration of data from disparate sources having inherently different data structures, from ...

The Playbook Workflow Builder is a user-friendly platform that enables biomedical researchers to conduct complex data ...

It combines techniques from statistics, computer science, and domain-specific knowledge to analyze, interpret, and visualize data. Data science involves processes like data collection, data cleaning, ...

A powerful new software platform called the Playbook Workflow Builder is set to transform biomedical research by allowing ...