Big Data Workshops

Events and Workshops for Current and Aspiring Data Science Professionals

The future is big data and the critical value and demand for data scientists, machine learning engineers, and data engineers is apparent by the number of job postings and three-figure compensations for those roles. The UC San Diego Qualcomm Institute’s Big Data Workshops provide current and aspiring data science professionals hands-on exploration and application of cutting-edge approaches to Big Data. The events and workshops are for industry professionals, faculty, staff, researchers, and any students with an interest in data science. At our workshops, learn the latest innovations for analyzing data and delivering value, data science platforms and best practices, and ways to advance analytics and interpret the results. Gain the resources, skills, and strategies for your next big data project.

Fall 2020 Schedule

October 27-29, 2020
Business Intelligence With Tableau

November 10-12, 2020
Machine Learning Workshop


Early Bird Registration for Industry Professionals is at $850. See workshop descriptions for deadline.


Industry Registration

$950 (Early Bird rate is $850)

Academic Registration

  • Faculty, Staff, and Post-Docs qualify for an educational rate of $500
  • Students qualify for a rate of $350. Please email a picture of your student ID to receive a unique code to access the student rate.


Real-Time Remote Instruction


Natasha Balac
Director, Interdisciplinary Center for Data Science (ICData) at UC San Diego
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OCT 27-29, 2020
Business Intelligence With Tableau

Three Day Online Workshop
8:30 AM – 12:30 PM


Who is this for? Faculty, Staff, Students, Researchers, Managers, Developers, Data Analysts, and others at all levels of experience with an interest in data visualization concepts and technologies. This workshop will prepare you to take the Tableau certification exam.

With the growing amount of data available to every organization, analysts must translate data into accountability, measure progress against goals, and leverage data for decision making. Dashboards are used to present and analyze organizational data to disseminate important information through visual methods for efficiency, competitiveness, and discovery.

This course will teach dashboards and data visualization technologies, using an approach that will include theory as well as a significant hands-on component utilizing the Tableau tool. Attendees will learn how to design and build dashboards, as well as create content of different types that can be incorporated into dashboards.


Software: Students will learn to use Tableau to visualize data. Students are expected to register and download the Tableau desktop tool at: prior to starting the course.

No textbook is required for this course; however, the following resource will build on many of the course’s key concept:

Steve Wexler, Andy Cotgreave, Jeffrey Shaffer (2017): The Big Book of Dashboards: Visualizing Your Data Using Real-World Business Scenarios; ISBN-10: 1119282713; ISBN-13: 978-1119282716

Cole Nussbaumer Knaflic (2015): Storytelling with Data: A Data Visualization Guide for Business Professionals; ISBN-10: 1119002257

Ryan Sleeper, (2018): Practical Tableau; ISBN-13: 978-1491977316


● Intro to Data Viz, BI and Dashboard

● Tableau Overview, Vocabulary & User Interface Overview

● Building Visuals with “Show Me”

● Data Connections & The Data Tab

● Filtering & Sorting

● Grouping, Hierarchies & Sets

● Calculations & Parameters

● Dashboard Building Basics

● Maps

● Formatting Sheets & Dashboards

● Dashboard Actions (Filters, Highlights, URL)

● Dashboard Objects & Full Build

● Hands-on Project Capstone

● Final Discussion, Overview, and Presentations

Looking for opportunities for high school students? Check out our Big Data Summer Camps!

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