Empowering Healthcare with Advanced Data Science
About the Course:
The healthcare domain is now being transformed by data-driven discovery and prediction. Professionals working in healthcare are now required to have skills necessary to perform data analytics at large-scale and know the complex ecosystem of tools and platforms in healthcare BigData analytics. This five-week class will cover the foundational topics in data science useful for healthcare professionals and give them skills to sample and apply the basic data analytics techniques.
- Data Acquisition
- Data Wrangling
- Data Analysis
- Data Communication
- Data Analysis at Scale
This class meets 5 times, every Wed from April 12-May 10 from 3:30-5:30pm
Week 1: Introduction and Data Acquisition
Week 2: Data Processing and Distributed Computing
Week 3: Large Scale Data Processing
Week 4: High-Speed Distributed Computing
Week 5: Image and Graph Processing
- Previous experience with Python.
- Basic knowledge of Unix/Linux commands and tools as well as concepts such as processes, file systems
- An understanding of algorithmic complexity (e.g., “big O” notation)
Arash Nourian is a lecturer at the UC Berkeley School of Information. His research focuses on designing and building new theoretical and practical solutions for intelligent data science at scale and secure and privacy-aware Big Data mining.
For content questions please content Arash Nourian at email@example.com
For logistic questions please contact Ariel Deardorff at firstname.lastname@example.org
What's the refund policy?
We will offer refunds up through March 29th.
You must have a valid UCSF email address to register. Participants should bring their own laptop to work on. This should be a "real" laptop - not a Chromebook, tablet, etc. You should also be sure to have admin privileges on this computer.
Related LibGuide: Data Sharing & Data Management by Ariel Deardorff