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PRODID:-//Data Science Initiative - ECPv6.3.7//NONSGML v1.0//EN
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X-WR-CALNAME:Data Science Initiative
X-ORIGINAL-URL:https://datascience.uci.edu
X-WR-CALDESC:Events for Data Science Initiative
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DTSTART:20200101T000000
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20200516
DTEND;VALUE=DATE:20200518
DTSTAMP:20260414T035746
CREATED:20200814T160504Z
LAST-MODIFIED:20200814T160620Z
UID:2754-1589587200-1589759999@datascience.uci.edu
SUMMARY:Introduction to Data Analysis with R
DESCRIPTION:Description\nThis course provides a brief introduction to the fundamentals of the R language and focuses on its use for data analysis–including exploratory data analysis\, linear and logistic regression\, variable selection\, model diagnostics\, and prediction. \nSyllabus \n\nFundamentals of R & RStudio: the basics–including objects\, subsetting\, indexing\, data I/O\, and control structures\nExploratory Data Analysis: all the necessary tools to investigate your data before performing any formal modeling–from summary statistics to visualization including plotting histograms\, boxplots\, and scatterplots\nLinear Regression: everything you need to know to begin fitting linear models–from simple t-tests to estimation of regression coefficients\, variable selection\, and prediction\nLogistic Regression: the basics of generalized linear models (GLMs) with an emphasis on binary response data–we extend the theory and modeling strategies of linear regression
URL:https://datascience.uci.edu/event/introduction-to-data-analysis-with-r/
LOCATION:Zoom
CATEGORIES:Data Science Event
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