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DTSTART;TZID=America/Los_Angeles:20161007T090000
DTEND;TZID=America/Los_Angeles:20161007T170000
DTSTAMP:20260405T031958
CREATED:20160929T151518Z
LAST-MODIFIED:20160929T151518Z
UID:1887-1475830800-1475859600@datascience.uci.edu
SUMMARY:Introduction to R
DESCRIPTION:This course provides an introduction to the fundamentals of the R language and its applications to data analysis. \n \nIn 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 installing R packages\, writing R functions\, fitting statistical models including regression models and performing statistical tests including t-tests and ANOVA. Practical examples will be provided during the course. \nDate:October 7\, 2016 \nTime:9 a.m. to 5 p.m. with lunch provided \nLocation: Donald Bren Hall\, Room 4011 \nInstructor: Emma Smith\, Steven Brownlee\, UC Irvine \nPre-requisites: 1) familiarity with basic statistical concepts\, and 2) basic programming knowledge. For the tutorial\, bring a laptop with R downloaded and installed and WiFi. \nTeaching material repository:https://github.com/UCIDataScienceInitiative/IntroR_Workshop
URL:https://datascience.uci.edu/event/introduction-to-r-8/
CATEGORIES:Data Science Event
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DTSTART;TZID=America/Los_Angeles:20161007T150000
DTEND;TZID=America/Los_Angeles:20161007T183000
DTSTAMP:20260405T031958
CREATED:20160912T105453Z
LAST-MODIFIED:20160912T105453Z
UID:1871-1475852400-1475865000@datascience.uci.edu
SUMMARY:Symposium on Recent Advances in Data Science
DESCRIPTION: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. \nDate: October 7\, 2016\nTime: 3:00 – 6:30 p.m.\nLocation: Calit2 Auditorium (directions) \nThis event has passed. \n>> View photos from the event. \nSchedule: \n\n\n\n\nTime\nDescription\n\n\n\n\n3:00 p.m.\nUpdate on data science at UCI\nPadhraic Smyth\, Director\, UCI Data Science Initiative\n\n\n3:20 p.m.\nResearch Highlight: Interpreting machine learning predictions\nSameer Singh\, Assistant Professor\, Department of Computer Science\, UCI\n\n\n3:50 p.m.\nResearch Highlight:  A Bayesian perspective on publication bias in the Reproducibility Project: Psychology\nJoachim Vandekerckhove\, Associate Professor\, Department of Cognitive Sciences\, UCI\n\n\n4:20 p.m.\nInvited Keynote: Google data and public sentiment\nDr. Steve Scott\, Senior Economic Analyst\, Google\n\n\n5:00 p.m.\nReception and graduate student poster session\n\n\n\n\n[/two_third][one_third spacing=”yes” last=”yes” center_content=”no” hide_on_mobile=”no” background_color=”” background_image=”” background_repeat=”no-repeat” background_position=”left top” link=”” hover_type=”none” border_position=”all” border_size=”0px” border_color=”” border_style=”solid” padding=”” margin_top=”” margin_bottom=”” animation_type=”0″ animation_direction=”down” animation_speed=”0.1″ animation_offset=”” class=”” id=””] \n \nSubmit a Poster\nUCI graduate students are invited to submit applications to present at the poster session on current and research projects that have a significant data science component\, e.g.\, research in areas such as machine learning\, statistics\, databases\, data privacy\, visualization as well as research on domain-specific topics in the sciences and humanities that have a strong data-driven component. \n  \nDeadline has passed[/one_third]
URL:https://datascience.uci.edu/event/academic-year-kickoff-event-advances-in-data-science/
CATEGORIES:Data Science Event
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