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Empowering Healthcare with Advanced Data Science In-Person
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.
Registration Info
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.
Register at: https://www.eventbrite.com/e/empowering-healthcare-with-advanced-data-science-tickets-31615837822
Related LibGuide: Reproducible Data Management by Ariel Deardorff
- Date:
- Wednesday, Apr 19 2017
Show more dates
Wednesday, Apr 26 2017
Wednesday, May 3 2017
Wednesday, May 10 2017
- Time:
- 3:30pm - 5:30pm
- Time Zone:
- Pacific Time - US & Canada (change)
- Location:
- Mission Hall 1407
- Campus:
- Mission Bay
- Categories:
- Data Science Data Science > Programming