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* Examples and tutorials (Jupyter notebooks) for the transportation data management course CIV8760 (in French) https://github.com/nsaunier/CIV8760/
* Examples and tutorials (Jupyter notebooks) for the transportation data management course CIV8760 (in French) https://github.com/nsaunier/CIV8760/


=Data Management Plans=
=Data Management=
TODO
* [http://www.datacarpentry.org/lessons/ Data carpentry]
* A Quick Guide to Organizing Computational Biology Projects https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1000424
* Données de recherche https://guides.biblio.polymtl.ca/donneesrecherche
* Données de recherche https://guides.biblio.polymtl.ca/donneesrecherche


=Data Organization=
=Statistics=
* [http://www.datacarpentry.org/lessons/ Data carpentry]
* Statistical Thinking for the 21st Century
* A Quick Guide to Organizing Computational Biology Projects https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1000424
* Learning Statistics with R  https://learningstatisticswithr.com/
* Answering questions with data https://crumplab.com/statistics/
* Carnegie Mellon University free online courses: [https://oli.cmu.edu/courses/probability-statistics-open-free/ Probability & Statistics] [https://oli.cmu.edu/courses/statistical-reasoning-copy/  Statistical Reasoning]
* Scientific Approaches to Transportation Research http://onlinepubs.trb.org/Onlinepubs/nchrp/cd-22/start.htm
* Understanding and Communicating Multimodal Transportation Data http://web.cecs.pdx.edu/~monserec/t.data/
* (French) resources
** Cours MTH2302C: Probabilités et statistique, Denis Marcotte http://cours.polymtl.ca/geo/marcotte/mth2302c.html
** Notes et ebooks de Ricco Rakotomalala http://eric.univ-lyon2.fr/~ricco/
** Cours du master économétrie et statistique appliquée de l'Université d’Orléans https://www.univ-orleans.fr/deg/masters/ESA/CH/churlin_E.htm#_Universit%C3%A9_d%27Orl%C3%A9ans,_Master_Econom


=Machine Learning=
=Machine Learning=
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* [https://geodacenter.github.io/documentation.html Documentation de GeoDa]
* [https://geodacenter.github.io/documentation.html Documentation de GeoDa]
* [https://www.spatialanalysisonline.com/ Geospatial Analysis - A comprehensive guide]
* [https://www.spatialanalysisonline.com/ Geospatial Analysis - A comprehensive guide]
=Statistics=
* Statistical Thinking for the 21st Century
* Learning Statistics with R  https://learningstatisticswithr.com/
* Answering questions with data https://crumplab.com/statistics/
* Carnegie Mellon University free online courses: [https://oli.cmu.edu/courses/probability-statistics-open-free/ Probability & Statistics] [https://oli.cmu.edu/courses/statistical-reasoning-copy/  Statistical Reasoning]
* Scientific Approaches to Transportation Research http://onlinepubs.trb.org/Onlinepubs/nchrp/cd-22/start.htm
* Understanding and Communicating Multimodal Transportation Data http://web.cecs.pdx.edu/~monserec/t.data/
* (French) resources
** Cours MTH2302C: Probabilités et statistique, Denis Marcotte http://cours.polymtl.ca/geo/marcotte/mth2302c.html
** Notes et ebooks de Ricco Rakotomalala http://eric.univ-lyon2.fr/~ricco/
** Cours du master économétrie et statistique appliquée de l'Université d’Orléans https://www.univ-orleans.fr/deg/masters/ESA/CH/churlin_E.htm#_Universit%C3%A9_d%27Orl%C3%A9ans,_Master_Econom

Version du 2 mars 2023 à 13:02

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