This course provides an introduction to the fundamentals of the R language and its applications to data analysis. Date:April 22, 2016 Time:9 a.m. to 5 p.m. with lunch provided Location: Donald Bren Hall, Room 4011 In this course, you will learn how to program in R and how to effectively use R for data analysis. The […]
Symposium: Fostering Literacy and Learning with Text and Data Mining Date: Friday, May 6, 2016 Time: 12:00 – 5:00 p.m. Location: UC Irvine, Calit2 Auditorium (directions) Visit the Fostering Literacy and Learning with Text and Data Mining event page for a list of speakers and more information. This event is free and open to the public. RSVP […]
Come join the UCI Data Hackathon, May 14-15th. This hackathon will award cash prizes to teams working in 3 challenge areas: data visualization, machine learning, and app development. Date: May 14-15 Time: 2:00pm - 8:00pm Location: Google Hangout More Info Here
Click to expand The Southern California Machine Learning Symposium will be held in the UCI Student Center on Friday May 20th. The symposium will include morning and afternoon sessions on the latest advances in machine learning with invited talks from leading researchers in the field. The event will also include a student poster […]
This course provides an introduction to the fundamentals of the R language and its applications to data analysis. Date:May 31, 2016 Time:9 a.m. to 5 p.m. with lunch provided Location: Donald Bren Hall, Room 3011 In this course, you will learn how to program in R and how to effectively use R for data analysis. The […]
This course is for researchers who have never used Linux and/or a computer cluster and introduces concepts and best practices for both. Description: This course covers how to best exploit the bash shell for both interactive work and batch jobs, moving & simple manipulation of data, as well very short introductions to programming in bash, […]
This course provides an introduction to the fundamentals of the R language and its applications to data analysis. In this course, you will learn how to program in R and how to effectively use R for data analysis. The course covers an introduction to data/object types in R, reading data, creating data visualizations, accessing and […]
The Data Science Initiative is sponsoring a short symposium highlighting recent advances in data science. The event will consist of talks on a variety of topics related to data science followed by a reception and graduate student poster session, including posters from the 2016 Data Science Summer Fellows. Date: October 7, 2016 Time: 3:00 - 6:30 […]
Information Session on the Insight Data Science Fellows Program Speaker: Emily Thompson, Insight Data Science, insightdatascience.com Target audience: Graduate students and Postdoctoral researchers Date: Friday, October 14 Time: 4:00 to 5:00 p.m. Location: Calit2 Auditorium, UCI (directions) RSVP Today About Emily Thompson Emily Thompson, Product Manager at Insight Data Science, will be talking about her transition from […]
This course provides an introduction to the basics of using open source software tools to analyze large scale genomics data, specifically Next Generation Sequencing data. In this course, you will learn general NGS workflow, data analysis pipeline, data formats, short read mapping and alignment software, general workflow for DNA-seq, RNA-seq and ChIP-seq. Data visualization tools […]