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.

Topics Covered:

Data Acquisition
Data Wrangling
Data Analysis
Data Communication
Data Analysis at Scale

Class Dates:

This class meets 5 times, every Wed from April 12-May 10 from 3:30-5:30pm

Schedule:

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

Prerequisites:

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)

Instructor:

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.

Questions?

For content questions please content Arash Nourian at nourian@eecs.berkeley.edu

For logistic questions please contact Ariel Deardorff at ariel.deardorff@ucsf.edu

What's the refund policy?

We will offer refunds up through March 29th.

Empowering Healthcare with Advanced Data Science