Center for Organizational Resilience
The mission of the Center for Organizational Resilience (COR) is to serve as Silicon Valley’s Center-of-Excellence in the emerging field of cyber resilience management.
Center for Organizational Resilience Faculty Win NSF CyberTraining Grant to Develop
Introductory Data Science for All Seminars to SJSU and Santa Clara County CC students!
Learn More Here
Spring 2019 Data Science for All Seminars
We’ve had a great response to our seminars and most are now filled but we will offer many of these seminars again in fall 2019! Please check back again in late summer 2019!
Demystifying AI presented by Harlan Findley, Director of Consulting & Strategy at Google.
Wednesday, Feb. 13, 2019 1:30-4:00 pm in BBC 032
Learn the basic concepts of how Machine Learning (ML) works, how it’s used to improve business processes, and which parts of the economy will be most affected by ML-driven automation.
Python Foundations presented by Esperanza Huerta.
Thursday, Feb. 21 4:30-7:15 pm in BBC 305 (this session is full!)
Thursday, Mar. 7, 2019 4:30-7:15 pm in BBC 305 (this session is full!)
Interpret, modify and create basic programs in Python for data science applications. A great seminar if you've never programmed before!
Exploring Graphs in Neo4j presented by Scott Jensen.
Thursday, Feb. 28, 2019 4:30-7:15 pm in BBC 305 (this session is full!)
Thursday, Mar. 14, 2019 4:30-7:15 pm in BBC 305 (only a few seats left!)
Data science is about exploring the patterns and relationships in data. We will use the Neo4j graph database to explore relationships in a social network. Click here to register for the March 14th session!
Statistical Foundations presented by Subhankar Dhar.
Thursday, Mar. 21 4:30-7:15 pm in BBC 305 (this session is full!)
Thursday Apr. 18, 2019 4:30-7:15 pm in BBC 305 (only a few seats left!)
We will use hands-on examples to learn basic statistical concepts and apply them to data science scenarios. Click here to register for the April 18th session!
Spark & Jupyter Notebooks presented by Scott Jensen.
Thursday, Apr. 11, 2019 (This session is full!)
4:30-7:15 pm in BBC 305
We will use some of the hottest web-based tools in data science to explore a large dataset, visualize your analysis, and publish your results.