Difference between revisions of "TrainingBlocks"
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{{TrainingBlock | {{TrainingBlock | ||
| − | |Title=CRG course | + | |Title=CRG course "Introduction to Statistics and R programming", May - June, 2017 |
|Description=In this course, the introduction to R is offered in 4 slow-paced practicums for absolute beginners, followed by 3 fast-paced practicums of statistical modules. The statistics material is offered in 3 consecutive modules, each containing a morning lecture and an afternoon practicum in a computer class. | |Description=In this course, the introduction to R is offered in 4 slow-paced practicums for absolute beginners, followed by 3 fast-paced practicums of statistical modules. The statistics material is offered in 3 consecutive modules, each containing a morning lecture and an afternoon practicum in a computer class. | ||
<br/>For more information, course materials, and links to external teaching resources, '''[[BIST_Introduction_to_Statistics_2017|visit the course page]]'''. | <br/>For more information, course materials, and links to external teaching resources, '''[[BIST_Introduction_to_Statistics_2017|visit the course page]]'''. | ||
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{{TrainingBlock | {{TrainingBlock | ||
|Title=CRG PhD/Master course 2016-2017 "Introduction to Statistics in R" | |Title=CRG PhD/Master course 2016-2017 "Introduction to Statistics in R" | ||
| − | |Description=The hands-on sessions of how to use R-Studio and perform basic plotting and data analysis. For more information, course materials, and links to external teaching resources, '''[[ | + | |Description=The hands-on sessions of how to use R-Studio and perform basic plotting and data analysis. For more information, course materials, and links to external teaching resources, '''[[CRG_PhD_Masters_Course_2016_Introduction_to_Statistics_in_R|visit the course page]]'''. |
|Color=#c8d5f4 | |Color=#c8d5f4 | ||
|TitleColor=#2E2E2E | |TitleColor=#2E2E2E | ||
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}} | }} | ||
{{TrainingBlock | {{TrainingBlock | ||
| − | |Title=BIST Course | + | |Title=BIST Course "Introduction to Statistics in R", May, 2016 |
| − | |Description=This introductory course to Statistics and Probability theory was modeled after the | + | |Description=This introductory course to Statistics and Probability theory was modeled after the university-level course Statistics 101. |
<br/>For more information, course materials, and links to external teaching resources, '''[[BIST_Introduction_to_Statistics_2016|visit the course website]]'''. | <br/>For more information, course materials, and links to external teaching resources, '''[[BIST_Introduction_to_Statistics_2016|visit the course website]]'''. | ||
|Color=#CECEF6 | |Color=#CECEF6 | ||
Revision as of 10:04, 13 April 2017
Contents
CRG course "Introduction to Statistics and R programming", May - June, 2017
[[file:{{{Image}}}|300px]]
In this course, the introduction to R is offered in 4 slow-paced practicums for absolute beginners, followed by 3 fast-paced practicums of statistical modules. The statistics material is offered in 3 consecutive modules, each containing a morning lecture and an afternoon practicum in a computer class.
For more information, course materials, and links to external teaching resources, visit the course page.
For more information, course materials, and links to external teaching resources, visit the course page.
CRG PhD/Master course 2016-2017 "Introduction to Statistics in R"
The hands-on sessions of how to use R-Studio and perform basic plotting and data analysis. For more information, course materials, and links to external teaching resources, visit the course page.
BIST Course "Introduction to Statistics in R", May, 2016
This introductory course to Statistics and Probability theory was modeled after the university-level course Statistics 101.
For more information, course materials, and links to external teaching resources, visit the course website.
For more information, course materials, and links to external teaching resources, visit the course website.
Linux & CRG Cluster Usage
The courses on basic Linux and how to use the CRG cluster are regularly run by the CRG SIT Unit and can be found at the SIT website (accessible only from CRG network).
