YALE ONLY

LEVEL: BEGINNER

SCHEDULE: 9:00 to 12:00 Office Hours (Lectures will be made available in advance.)

1:00 to 5:00 Hands on Labs

Monday, June 8: Python for Data Science

Tuesday, June 9: Databases & Data Management

Wednesday, June 10: Data Cleaning & Data Visualization

Thursday, June 11: Machine Learning and Bioinformatics I

Machine Learning and Bioinformatics II

Friday, June 12: Text Mining and NLP & Summative Activity Applying Methods Learned

Offered by Yale School of Medicine, Yale Center for Biomedical Data Science, Yale Center for Medical Informatics and Harvey Cushing/John Hay Whitney Medical Library.

Learning objectives:

• Understand a variety of software packages and select the appropriate methods to solve data problems in the clinical, health and biomedical domains.

• Apply the fundamentals of computing to integrate the aforementioned tools to address various sources of data and information uncertainty across clinical health and biomedical domains.

• Gain a familiarity with data science and informatics resources to develop individual and collaborative research at Yale.

1. Lectures, taught by Yale biomedical data science experts, will provide an overview of various data science techniques and how they can be applied to the representation, management, integration, visualization, and mining of a variety of types of biomedical data.

2. Lab session exercises will give experience integrating concepts from across the course to answer questions about realistic data.

Contact:

Cynthia Brandt, MD, MPH

Director, Yale Division of Health Informatics; Professor of Emergency Medicine, Anesthesiology and Biostatistics, cynthia.brandt@yale.edu

Xinxin (Katie) Zhu, MD, PhD

Executive Director, Yale Center for Biomedical Data Science, cbds@yale.edu