Data Science Resources : Différence entre versions
De Transport
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* [https://github.com/jupyter/jupyter/wiki/A-gallery-of-interesting-Jupyter-Notebooks Gallery of Jupyter Notebooks on programming, data science, etc.] | * [https://github.com/jupyter/jupyter/wiki/A-gallery-of-interesting-Jupyter-Notebooks Gallery of Jupyter Notebooks on programming, data science, etc.] | ||
* 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 Visualization= | ||
| + | * Tufte, E. R. The Visual Display of Quantitative Information Graphics Press, 1983 | ||
| + | * Blog: [https://flowingdata.com/ Flowing data], [https://www.reddit.com/r/dataisbeautiful/ Data Is Beautiful (Reddit)] | ||
| + | * Articles: Wikipedia [https://en.wikipedia.org/wiki/Diagram diagrams] and [https://en.wikipedia.org/wiki/Chart Charts], [http://queue.acm.org/detail.cfm?id=1805128 ACM paper], [https://www.economist.com/node/15557455 The Economist] | ||
| + | * Labs: | ||
| + | ** [http://hcil.umd.edu/ Human-Computer Interaction Lab] and [https://www.cattlab.umd.edu/ Center for Advanced Transportation Technology Laboratory], University of Maryland | ||
| + | ** TRB [https://www.teachamerica.com/viz/viz2006.html 5th], [http://teachamerica.com/VIZ11/index.html 6th], [https://teachamerica.com/VIZ13/index.html 7th], [http://viz17.businesscatalyst.com/videos.html 8th] and [http://www.cvent.com/events/9th-international-visualization-in-transportation-symposium-a-better-view/event-summary-aa788f12e69f4c5c83936e5c800b1152.aspx 9th] International Visualization in Transportation Symposium and Workshop | ||
| + | ** Professorts [http://www.professeurs.polymtl.ca/thomas.hurtut/\#dataviz Thomas Hurtut (Polytechnique)], [http://perso.telecom-paristech.fr/~elc/ Éric Lecolinet (Télécom ParisTech)] | ||
| + | * Courses | ||
| + | ** [https://www.graphics.stanford.edu/courses/cs448b-04-winter/ Data Visualization (CS448b)], Stanford | ||
| + | ** [https://www.cs171.org/ CS117], Hanspeter Pfister, Harvard | ||
| + | * Videos: [https://www.youtube.com/watch?v=AdSZJzb-aX8 The Art of Data Visualization | PBS Digital Studios], [https://www.youtube.com/watch?v=-xS7QJhVbcM Harvard i-lab | Data Visualization for Non-Programmers], [https://www.youtube.com/watch?v=aT4JvF7sglg Mike Bostock (D3js) - Keynote], [https://www.youtube.com/watch?v=R-oiKt7bUU8 Designing Data Visualizations with Noah Iliinsky] | ||
| + | * Libraries | ||
| + | ** Python: [https://matplotlib.org/ matplotlib], [https://seaborn.pydata.org/ seaborn] | ||
| + | ** R: [https://ggplot2.tidyverse.org/ ggplot2] | ||
| + | ** Javascript: [https://d3js.org/ D3.js] | ||
=Spatial Data= | =Spatial Data= | ||
Version du 6 novembre 2020 à 16:16
- Free books on data science http://www.learndatasci.com/free-data-science-books
Code
- Data science using Python https://github.com/jakevdp/PythonDataScienceHandbook (see Programming resources for Python and other languages)
- Gallery of Jupyter Notebooks on programming, data science, etc.
- Examples and tutorials (Jupyter notebooks) for the transportation data management course CIV8760 (in French) https://github.com/nsaunier/CIV8760/
Data Visualization
- Tufte, E. R. The Visual Display of Quantitative Information Graphics Press, 1983
- Blog: Flowing data, Data Is Beautiful (Reddit)
- Articles: Wikipedia diagrams and Charts, ACM paper, The Economist
- Labs:
- Human-Computer Interaction Lab and Center for Advanced Transportation Technology Laboratory, University of Maryland
- TRB 5th, 6th, 7th, 8th and 9th International Visualization in Transportation Symposium and Workshop
- Professorts Thomas Hurtut (Polytechnique), Éric Lecolinet (Télécom ParisTech)
- Courses
- Data Visualization (CS448b), Stanford
- CS117, Hanspeter Pfister, Harvard
- Videos: The Art of Data Visualization | PBS Digital Studios, Harvard i-lab | Data Visualization for Non-Programmers, Mike Bostock (D3js) - Keynote, Designing Data Visualizations with Noah Iliinsky
- Libraries
- Python: matplotlib, seaborn
- R: ggplot2
- Javascript: D3.js
Spatial Data
- Introduction to Geospatial Concepts https://datacarpentry.org/organization-geospatial/
- A Gentle Introduction to GIS https://docs.qgis.org/3.10/en/docs/gentle_gis_introduction/
- QGIS how-to: heatmaps, OSM layer
- SpatiaLite cookbook http://www.gaia-gis.it/gaia-sins/spatialite-cookbook-5/index.html
- French books from EPFL: Systèmes d'Information Géographique Partie 1 et Partie 2
- Resources in French, including online courses https://claroline-connect.univ-st-etienne.fr/web/app.php/resource/open/icap_wiki/224152#/
Statistics
- Carnegie Mellon University free online courses: Probability & Statistics 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
Courses
- MOOC by IVADO on deep learning https://cours.edulib.org/courses/course-v1:IVADO+IA-101+P2018/
