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DTSTAMP:20260925T053014Z
SUMMARY:Statistics and R
DESCRIPTION:This course teaches the R programming language in the context o
 f statistical data and statistical analysis in the life sciences.\n\nWe wi
 ll learn the basics of statistical inference in order to understand and co
 mpute p-values and confidence intervals\, all while analyzing data with R 
 code. We provide R programming examples in a way that will help make the c
 onnection between concepts and implementation. Problem sets requiring R pr
 ogramming will be used to test understanding and ability to implement basi
 c data analyses. We will use visualization techniques to explore new data 
 sets and determine the most appropriate approach. We will describe robust 
 statistical techniques as alternatives when data do not fit assumptions re
 quired by the standard approaches. By using R scripts to analyze data\, yo
 u will learn the basics of conducting reproducible research.\n\nGiven the 
 diversity in educational background of our students we have divided the co
 urse materials into seven parts. You can take the entire series or individ
 ual courses that interest you. If you are a statistician you should consid
 er skipping the first two or three courses\, similarly\, if you are biolog
 ists you should consider skipping some of the introductory biology lecture
 s. Note that the statistics and programming aspects of the class ramp up i
 n difficulty relatively quickly across the first three courses. We start w
 ith simple calculations and descriptive statistics. By the third course wi
 ll be teaching advanced statistical concepts such as hierarchical models a
 nd by the fourth advanced software engineering skills\, such as parallel c
 omputing and reproducible research concepts.
DTSTART;TZID=Europe/Berlin:20200615T000000
DTEND;TZID=Europe/Berlin:20200615T000000
LOCATION:1818 H Street \, Washington (United States of America) 
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DESCRIPTION:Statistics and R
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