Center for Organizational Resilience
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!
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Data Science for All Seminar Series Fall 2019
Data Science for All Seminar: Python Foundations
When & Where: Tuesday, Sept. 17th 4:30 PM-7:15 PM in BBC 302
Cost: Free and open to all SJSU students, faculty, and staff
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: Exploring Relationships in Graphs
When & Where: Wednesday, Sept. 25th 4:30 PM-7:15 PM in BBC 305
Cost: Free and open to all SJSU students, faculty, and staff
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: Data Wrangling
When & Where: Tuesday, Oct. 1st 4:30 PM-7:15 PM in BBC 302
Cost: Free and open to all SJSU students, faculty, and staff
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: Spark & Jupyter Notebooks
When & Where: Wednesday, Oct. 2nd 4:30 PM-7:15 PM in BBC 305
Cost: Free and open to all SJSU students, faculty, and staff
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.
Data Science for All Seminar: Learning in TensorFlow
When & Where: Tuesday, Oct. 15th 4:30 PM-7:15 PM in BBC 302
Cost: Free and open to all SJSU students, faculty, and staff
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: Telling Your Data Story using Tableau
When & Where: Wednesday, Oct. 16th 4:30 PM-7:15 PM in BBC 305
Cost: Free and open to all SJSU students, faculty, and staff
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 here:
Data Science for All Seminar: Statistical Foundations
When & Where: Thursday, Oct. 17th 4:30 PM-7:15 PM in BBC 302
Cost: Free and open to all SJSU students, faculty, and staff
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: Introduction to Machine Learning for Data Science
When & Where: Thursday, Nov. 14th 4:30 PM-7:15 PM in BBC 302
Cost: Free and open to all SJSU students, faculty, and staff
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.
