November 15th - 18th, 2021

Data Visualization Track

Explore the beauty of visualization brought to you by the world’s most creative minds
Register now | 75% ends soon

Data Visualization

The data visualization track at ODSC West 2021 brings together the world’s most creative minds that are changing the way we visualize, understand, and interact with data. Join a community of designers, data scientists, and developers to learn the art of storytelling, information communication, and data visualization using the latest open source tools and techniques.

 We offer multiple talks, workshops, and interactive presentations to help you understand and create beautiful, insightful, and actionable data graphics and visuals.

Some Previous Speakers

Data Science InstructorGeneral Assembly

Bethany Poulin

Bethany Poulin is a data scientist and educator with expertise in statistical analysis, data visualization, and complex algorithmic problem-solving. She has worked as a professional data scientist and educator for the last 4 years and loves sharing what she has learned with her students. Her unusual background in Fine Arts and experience teaching high school give her a unique perspective on both problem-solving and the learning-teaching process. Prior to teaching this part-time course, she was a lead instructor in our Data Science Immersive program on the Boston campus. She teaches simply because she loves students and enjoys being a part of their success. She holds a BFA in Professional Photography from Rochester Institute of Technology, did post bachelor’s studies and the University of Montana in Environmental Biology, where she was recognized nationally as a Morris K Udall Scholar, is one semester away from an MS in Data Science from the City University of New York. She is has presented at PyOhio 2018 and 2019 and gave a presentation at ODSC East in 2019. In her spare time, Bethany is an avid fly fisherman, potter, and maker.

Introduction to Shiny Application Development(Half-Day Training)

Data Visualization DeveloperObservable

Ian Johnson

Ian Johnson is a User Experience Engineer at Google. He also organizes of Bay Area d3, starts with SVG and then dives deep into d3 including DOM manipulation, categorical and quantitative scales, axis, brushes, color schemes, events and histograms. Ian likes to make sense of data by exploring it visually with D3.js!

Painting with Data: Introduction to d3.js(Half-Day Training)

Senior Inventive ScientistAT&T Chief Data Office

Noemi Derzsy, PhD

Noemi Derzsy is a Senior Inventive Scientist at AT&T Chief Data Office within the Data Science and AI Research organization. Her research is centered on understanding and modeling customer behavior and experience through large-scale consumer and network data, using machine learning, network analysis/modeling, spatio-temporal mining, text mining and natural language processing techniques. She is an organizer of Data Umbrella meetup group and NYC Women in Machine Learning and Data Science meetup group, and she is a NASA Datanaut.
Prior to joining AT&T, Noemi was a Data Science Fellow at Insight Data Science NYC and a postdoctoral research associate at Social Cognitive Networks Academic Research Center at Rensselaer Polytechnic Institute. She holds a PhD in Physics, MS in Computational Physics, and has a research background in Network Science and Computer Science.

Exploring the Interconnected World: Network/Graph Analysis in Python(Tutorial)

Data Science ConsultantYerrington Consulting

David Yerrington

At the age of 8, David began learning the BASIC programming language while living in the outskirts of Alaska. He studied music performance but found the beginning of his career building a small software and consulting company in the late 90’s. David’s career spans almost 20 years including many startups as a lead engineer, building scalable data services from prototype to production. During his time at Sony/Gracenote, leading the development of a handful of prototypes were featured multiple years in the Consumer Electronics Show, spanning problems with recommender systems, content classification, and profiling type problems. More recently, David was a data scientist at a YC backed dating app company researching and building scalable recommendation pipelines.
Currently, David works at General Assembly as a Global Data Science Instructor, where he helped architect the first version of the data science immersive curriculum and pilot many new programs developed internally. Regularly delivering lectures in a hybrid format classroom on topics ranging from engineering, statistics, and ML.

Data Visualization: From Jupyter to Dashboards(Half-Day Training)

Assistant ProfessorUC Davis Machine Learning & AI Group UC Davis

Gerald Quon, PhD

Gerald Quon is an Assistant Professor in the Department of Molecular and Cellular Biology at the University of California at Davis. He obtained his Ph.D. in Computer Science from the University of Toronto, M.Sc. in Biochemistry from the University of Toronto, and B. Math in Computer Science from the University of Waterloo. He also completed postdoctoral research training at MIT. His lab focuses on applications of machine learning to human genetics, genomics and health, and is funded by the National Science Foundation, National Institutes of Health, the Chan Zuckerberg Initiative, and the American Cancer Society.

A Hands-On Tutorial for Training Interpretable Variational Autoencoders Using siVAE(Workshop)

Data ScientistCoursera

Vinod Bakthavachalam

Vinod Bakthavachalam is a Data Scientist working with the Content Strategy and Enterprise teams, focusing on using Coursera’s data to understand what are the most valuable skills across roles, industries, and geographies. Prior to Coursera, he worked in quantitative finance and studied Economics, Statistics, and Molecular & Cellular Biology at UC Berkeley.

Causal Inference in Data Science(Workshop)


Sessions on Data Visualization

  • Talk: Best Practices for Optimizing Migration to the Cloud

  • Tutorial: Exploring the Interconnected World: Network/Graph Analysis in Python

  • Tutorial: Causal Inference in Data Science

  • Training: Introduction to Shiny Application Development

  • Training: Building Web Applications in R Using Shiny

  • Workshop: Mapping Geographic Data in R

  • Training: From Numbers to Narrative: Turning Raw Data into Compelling Stories with Impact

  • Training: Data Visualization: From Square One to Interactivity

You Will Meet

The Data Visualization track at ODSC West 2021 is where industry’s top creative minds gather to discuss and shape the most exciting trends and topics in data visualization. Whether you are a data visualization expert, or just starting your journey on better data presentation, this is the conference for you.

  • Thought leaders working in data science

  • Data visualization professionals

  • Graphic artists

  • Data scientists

  • UX designers

  • Business intelligence experts

  • Graphic designers

  • Media & publishing data storytellers

  • Startup founders and executives

Why Attend?

Organizations are now understanding the need to break down big data to make it intuitive, insightful, and actionable. Be among the first to understand the power of data visualization.

Immerse yourself in two days of in-depth talks and workshops on data visualization and data science topics, tools, and languages.

Get full access to the full suite of recorded presentations on-demand post conference.

With an incredible lineup, this event will provide the training and insight for professionals who understand their organization’s need to deliver compelling data visualization.

Get access to the Open Data Visualization Conference plus 5 other co-located conferences including open data science, big data science, and disruptive data science.

Connect with peers and top industry professionals at our many networking events to discover your next job, service, product or startup.

Sign Up for ODSC WEST | November 15th - 18th, 2021

Register Now
Open Data Science

Open Data Science
Innovation Center
101 Main St
Cambridge, MA 02142
info@odsc.com

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