Difference between revisions of "BIST Introduction to Statistics 2016"
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==== External Resources ==== | ==== External Resources ==== | ||
* [http://www.nature.com/collections/qghhqm Nature Web-collection "Statistics for Biologists"] | * [http://www.nature.com/collections/qghhqm Nature Web-collection "Statistics for Biologists"] | ||
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* 100 Statistical Tests.pdf - ResearchGate - just search Google to get a link | * 100 Statistical Tests.pdf - ResearchGate - just search Google to get a link | ||
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| − | * [ | + | * [http://ww2.coastal.edu/kingw/statistics/R-tutorials/ R Tutorials by William B. King |
| − | * [https://www.edx.org/course/data-analysis-life-sciences-1-statistics-harvardx-ph525-1x Self-paced online course "Statistics and R" | + | * Self-paced online courses from UC Berkeley: [https://www.edx.org/course/introduction-statistics-descriptive-uc-berkeleyx-stat2-1x Descriptive Statistics.] [https://www.edx.org/course/introduction-statistics-probability-uc-berkeleyx-stat2-2x Probability.] [https://www.edx.org/course/introduction-statistics-inference-uc-berkeleyx-stat2-3x Inference.] |
| − | * [https://www.edx.org/course/data-analysis-life-sciences-3-harvardx-ph525-3x Self-paced online course " | + | * [http://www.stat.berkeley.edu/~stark/SticiGui/ Online book recommended for the UC Berkeley courses] |
| + | * [https://www.edx.org/course/explore-statistics-r-kix-kiexplorx-0 Self-paced online course "Explore Statistics with R"] | ||
| + | * [http://www-bcf.usc.edu/~gareth/ISL/ "An Introduction to Statistical Learning with Applications in R" from Stanford] | ||
| + | * [https://www.edx.org/course/introduction-r-programming-microsoft-dat204x-0 Self-paced online course from Microsoft "Intro to R programming"] | ||
| + | * [https://www.edx.org/course/data-analysis-life-sciences-1-statistics-harvardx-ph525-1x Self-paced online course from Harvard "Statistics and R"] | ||
| + | * [https://www.edx.org/course/data-analysis-life-sciences-3-harvardx-ph525-3x Self-paced online course from Harvard "Statistical Inference and Modeling for High-throughput Experiments" ] | ||
| + | * [https://www.bits.vib.be/index.php/training/180#download VIB "Basic statistics in R" course. Tutorial and Links.] | ||
Revision as of 09:22, 28 April 2016
BIST "Introduction to Biostatistics" Course
External Resources
- Nature Web-collection "Statistics for Biologists"
- 100 Statistical Tests.pdf - ResearchGate - just search Google to get a link
- [http://ww2.coastal.edu/kingw/statistics/R-tutorials/ R Tutorials by William B. King
- Self-paced online courses from UC Berkeley: Descriptive Statistics. Probability. Inference.
- Online book recommended for the UC Berkeley courses
- Self-paced online course "Explore Statistics with R"
- "An Introduction to Statistical Learning with Applications in R" from Stanford
- Self-paced online course from Microsoft "Intro to R programming"
- Self-paced online course from Harvard "Statistics and R"
- Self-paced online course from Harvard "Statistical Inference and Modeling for High-throughput Experiments"
- VIB "Basic statistics in R" course. Tutorial and Links.
