Difference between revisions of "BIST Introduction to Statistics 2016"

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== BIST "Introduction to Biostatistics" Course ==
 
== BIST "Introduction to Biostatistics" Course ==
  
==== Online Resources ====
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==== External Resources ====
 
* Nature Web-collection "Statistics for Biologists": http://www.nature.com/collections/qghhqm
 
* Nature Web-collection "Statistics for Biologists": http://www.nature.com/collections/qghhqm
* Self-paced online UC Berkeley courses  
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* Self-paced online UC Berkeley courses:
** https://www.edx.org/course/introduction-statistics-descriptive-uc-berkeleyx-stat2-1x
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** [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
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** [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
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** [https://www.edx.org/course/introduction-statistics-inference-uc-berkeleyx-stat2-3x Inference]
* Online book recommended by the above courses http://www.stat.berkeley.edu/~stark/SticiGui/
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** [http://www.stat.berkeley.edu/~stark/SticiGui/ Online book recommended for these courses]
* Upcoming (Feb 2, 2016) MIT course Introduction to Probability - The Science of Uncertainty. https://www.edx.org/course/introduction-probability-science-mitx-6-041x-1
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* [https://www.edx.org/course/explore-statistics-r-kix-kiexplorx-0 Self-paced online course "Explore Statistics with R" from EdX.org]
* Self-paced online course "Explore Statistics with R" https://www.edx.org/course/explore-statistics-r-kix-kiexplorx-0
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* [http://www-bcf.usc.edu/~gareth/ISL/ "An Introduction to Statistical Learning with Applications in R" from Stanford]
* "An Introduction to Statistical Learning with Applications in R" from Stanford http://www-bcf.usc.edu/~gareth/ISL/
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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
* VIB "Basic statistics in R" course. Tutorial and links.    https://www.bits.vib.be/index.php/training/180#download
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* [https://www.bits.vib.be/index.php/training/180#download VIB "Basic statistics in R" course. Tutorial and Links.] 
  
 
* [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/introduction-r-programming-microsoft-dat204x-0 Self-paced online course from Microsoft "Intro to R programming"]
* Self-paced online course "Introduction to Cloud Computing" https://www.edx.org/course/introduction-cloud-computing-ieeex-cloudintro-x-0
 
* Self-paced online course from Microsoft "Data Science and Machine Learning Essentials" https://www.edx.org/course/data-science-machine-learning-essentials-microsoft-dat203x-0
 
  
* Self-paced online courses in the seria "Data Analysis for Life Sciences" from Harvard:
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* [https://www.edx.org/course/data-analysis-life-sciences-1-statistics-harvardx-ph525-1x Self-paced online course "Statistics and R" from Harvard]
** 1: Statistics and R https://www.edx.org/course/data-analysis-life-sciences-1-statistics-harvardx-ph525-1x
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* [https://www.edx.org/course/data-analysis-life-sciences-3-harvardx-ph525-3x Self-paced online course "Stical Inference and Modeling for High-throughput Experiments" from Harvard]
** 2: Introduction to Linear Models and Matrix Algebra https://www.edx.org/course/data-analysis-life-sciences-2-harvardx-ph525-2x
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** 3: Statistical Inference and Modeling for High-throughput Experiments https://www.edx.org/course/data-analysis-life-sciences-3-harvardx-ph525-3x
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** 4: High-Dimensional Data Analysis https://www.edx.org/course/data-analysis-life-sciences-4-high-harvardx-ph525-4x
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** 5: Introduction to Bioconductor: Annotation and Analysis of Genomes and Genomic Assays https://www.edx.org/course/data-analysis-life-sciences-5-harvardx-ph525-5x
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** 6: High-performance Computing for Reproducible Genomics https://www.edx.org/course/data-analysis-life-sciences-6-high-harvardx-ph525-6x
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** 7: Case Studies in Functional Genomics https://www.edx.org/course/data-analysis-life-sciences-7-case-harvardx-ph525-7x
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* Self-paced excellent course from MIT "Introduction to Biology - The Secret of Life" https://www.edx.org/course/introduction-biology-secret-life-mitx-7-00x-2
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Revision as of 09:13, 28 April 2016

BIST "Introduction to Biostatistics" Course

External Resources

Bioinformatics Core Facility @ CRG — 2011-2024