Topics in R: Shiny, RMarkdown, Tidy Data

This workshop covers several advanced topics in R, including building web apps with Shiny and reports with RMarkdown. Description: This workshop covers several advanced topics in R, including building web apps with Shiny and reports with RMarkdown. This workshop covers RMarkdown and will include composing an analyses in an RMarkdown document. There will be an […]

Introduction to Linux

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 is for researchers who have never used Linux and/or a computer cluster and introduces concepts and best practices for both. This course covers how to best exploit the bash shell […]

Introduction to Next Generation Sequencing Data Analysis

The workshop teaches the basics of using command line software to analyze NGS data such as RNA-seq and ChIP-seq. Description: The workshop teaches the basics of using command line software to analyze NGS data such as RNA-seq and ChIP-seq. We cover NGS workflow, general data analysis pipeline, short read alignment software, general workflow for DNA-seq, […]

Predictive Modeling with Python

Learn about the practice of predictive modeling using Python. Description: Learn about the practice of predictive modeling using Python. To find out about future one-day courses, please join our mailing list. Python is a popular language for scientific processing and machine learning. This course will introduce general modeling concepts in addition to concrete examples based […]

Introduction to R

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 […]

Introduction to R

This course provides an introduction to the fundamentals of the R language and its applications to data analysis. Description: 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 […]

Advanced Predictive Modeling with Python

Learn about the practice of predictive modeling using Python. Description: Learn about the practice of predictive modeling using Python. To find out about future one-day courses, please join our mailing list. This half-day course builds upon Predictive Modeling with Python, covering best practices for building predictive models that perform well in noisy, real-world domains. Feature […]

Fostering Literacy with Text and Data Mining

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 […]

Fostering Literacy with Text and Data Mining

Symposium:  Fostering Literacy and Learning with Text and Data Mining Description: 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. […]

UCI Data Hackathon

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  

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