Center for Organizational Resilience

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Mission Statement

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! 
Visit the data Science for all website for more information


Data Science for All Seminar Series
Spring 2020

Data Science for All Seminar: Introduction to Machine Learning for Data Science

When & Where: Thursday, February 13, 2020 from 3:00 PM to 5:45 PM in BBC 304

Seminar Description: Learn and apply fundamental machine learning (ML) concepts to solve Real-world problems in Data Science.  Apply ML tools using Jupyter Notebook and various Python libraries to get hands-on programming experience.

Event organizer: Dr. Subhankar Dhar (subhankar.dhar@sjsu.edu)

Register to get access to the seminar and optional pre-seminar materials.


Data Science for All Seminar: Data Wrangling

When & Where: Tuesday, February 18, 2020 from 1:30 PM to 4:15 PM, location TBD (participants will be emailed location information prior to the seminar)

Seminar Description: Learn to overcome some problems of raw data using pandas, a Python package, and to perform basic data transformations to analyze your data.

Event organizer: Dr. Esperanza Huerta (esperanza.huerta@sjsu.edu)

Register to get access to the seminar and optional pre-seminar materials.


Data Science for All Seminar: Exploring Relationships in Graphs

When & Where: Thursday, February 27, 2020 from 6:00 PM to 8:45 PM in BBC 305

Seminar Description: Data Science is about exploring the patterns and relationships in data. You will use the Neo4j graph database to explore relationships in a social network.

Event organizer: Dr. Scott Jensen (scott.jensen@sjsu.edu)

Register to get access to the seminar and optional pre-seminar materials.


Data Science for All Seminar: Python Foundations

When & Where: Tuesday, March 3, 2020 from 1:30 PM to 4:15 PM, location TBD (participants will be emailed location information prior to the seminar)

Seminar Description: Learn basic programming foundations for data science. For this and other seminars, the programming language used is Python.

Event organizer: Dr. Esperanza Huerta (esperanza.huerta@sjsu.edu)

Register to get access to the seminar and optional pre-seminar materials.


Data Science for All Seminar: Learning in TensorFlow

When & Where: Tuesday, March 17, 2020 from 1:30 PM to 4:15 PM, location TBD (participants will be emailed location information prior to the seminar)

Seminar Description: Create a machine learning algorithm using TensorFlow to identify patterns in data.

Event organizer: Dr. Esperanza Huerta (esperanza.huerta@sjsu.edu)

Register to get access to the seminar and optional pre-seminar materials.


Data Science for All Seminar: Statistical Foundations

When & Where: Thursday, March 19, 2020 from 3:00 PM to 5:45 PM in BBC 304

Seminar Description: Dive into important statistical concepts and programming fundamentals using popular Python modules as you do a hands-on analysis of real-world datasets.

Event organizer: Dr. Subhankar Dhar (subhankar.dhar@sjsu.edu)

Register to get access to the seminar and optional pre-seminar materials.


Data Science for All Seminar: Telling Your Data Story using Tableau

When & Where: Friday, March 20, 2020 from 1:30 PM to 4:15 PM in BBC 305

Seminar Description: Learn to visually profile a dataset, formulate questions of the data, and generate visualizations to effectively communicate the data’s story using Tableau; a popular visualization tool.

Event organizer: Dr. Scott Jensen (scott.jensen@sjsu.edu)

Register to get access to the seminar and optional pre-seminar materials.


Data Science for All Seminar: Spark & Jupyter Notebooks

When & Where: Thursday, April 23, 2020 from 6:00 PM to 8:45 PM in BBC 305

Seminar Description: You will use some of the hottest web-based tools in Data Science to explore a dataset, create visualizations, and publish your results.

Event organizer: Dr. Scott Jensen (scott.jensen@sjsu.edu)

Register to get access to the seminar and optional pre-seminar materials.