Difference between revisions of "TrainingBlocks"

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{{TrainingBlock
 
{{TrainingBlock
 
|Title=BIST's statistics
 
|Title=BIST's statistics
|Description=This introductory course to statistics and probability theory is modeled after the traditional university course Statistics 101 and will be given by the CRG staff and PhD students. The material is offered in 5 consecutive modules (please see Course Syllabus below), each containing a morning lecture and an afternoon practicum in a computer class. For practical exercises we will use R programming language and R Studio. However, this course is focused on statistics rather than R; therefore, each practicum is designed with the purpose to demonstrate and reinforce understanding of concepts introduced in the lecture rather than to provide a training in R.
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|Description=This introductory course to statistics and probability theory is modelled after the traditional university course Statistics 101 and will be given by the CRG staff and PhD students. The material is offered in 5 consecutive modules (please see Course Syllabus below), each containing a morning lecture and an afternoon practicum in a computer class. For practical exercises we will use R programming language and R Studio. However, this course is focused on statistics rather than R; therefore, each practicum is designed with the purpose to demonstrate and reinforce understanding of concepts introduced in the lecture rather than to provide a training in R. ''[[BIST_Introduction_to_Statistics_2016|Visit the course]]''
 
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Revision as of 10:06, 21 June 2016



BIST's statistics

Bist.jpg
This introductory course to statistics and probability theory is modelled after the traditional university course Statistics 101 and will be given by the CRG staff and PhD students. The material is offered in 5 consecutive modules (please see Course Syllabus below), each containing a morning lecture and an afternoon practicum in a computer class. For practical exercises we will use R programming language and R Studio. However, this course is focused on statistics rather than R; therefore, each practicum is designed with the purpose to demonstrate and reinforce understanding of concepts introduced in the lecture rather than to provide a training in R. Visit the course

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