[social4i size=”large” align=”float-right”] (Guest post by the organizers of the Open Data Science conference) The Open Data Science Conference (ODSC) in Boston earlier this year had over 1300 attendees, 70 talks, and 20 workshops. Max Kuhn, author of six R packages, discussed The Development Process of the Caret Package. R contributor and author of R for Everyone, Jared Lander, spoke on Making R Go Bigger and Faster. ODSC West on November 14-15th at the Marriot Waterfront in San Francisco promises an equally great lineup. Here is what you can expect: Jim Porzak will conduct an “Intro to R for Data Science” workshop. If you are already comfortable with data science in R, you can take John Mount’s and Nina Zumel’s master class on “Preparing data for analysis using R: basic through advanced techniques.” Nicole White, author of the RNeo4J package, will teach a workshop on the “Fundamentals of Neo4J” which will present the advantages of graph databases over relational tables and get you up to speed with the graph database. You can see our full workshop lineup here http://opendatascicon.com/workshops. In addition you will have the chance to learn from and interact with some of the brightest minds shaping the present and future of data visualization, text analysis, machine learning, and more. Owen Zhang is the #1 ranked Kaggle Data Scientist and Chief Product Officer at Data Robot. Richard Socher is a natural language processing and computer vision expert and founder of artificial intelligence start-up Meta-Mind. Julie Steele is the director of communications at Silicon Valley Data Science and author of Beautiful Visualization and Designing Data Visualizations. We have made this one of the most affordable data science conferences because we know great tools like R are about the community. You can use the code ODSC-RBLG: https://www.eventbrite.com/e/open-data-science-conference-west-tickets-17678395557?discount=ODSC-RBLG to get an additional 5% off the ticket price. We are proud to foster conversations that help build and strengthen the open-source data science community through our events. We hope to see you there.