Universities
Stanford University: http://cs.stanford.edu/research/computer-systems
Review Piazza for participating courses/universities & professors in relevant fields: Computer Science – Mathematics – Engineering – Economics
Wharton Customer Analytics Initiative: http://wcai.wharton.upenn.edu/
Companies
Marketing Platform http://rocketfuel.com/
Business strategy through data http://www.meltwater.com
Data management software http://www.sas.com
Data science & consulting http://www.persontyle.com/
Networking
Deep Learning London meetup http://www.meetup.com/Deep-Learning-London/
People
Nathan Yau http://www.book.flowingdata.com/
Jeff Leek http://jtleek.com/
See also my post here (various sources as given): Most Influential Data Scientists (Two Lists)
Training
Computer Science https://skillsmatter.com/
School of Data Science http://www.persontyle.com/school/
Data Science/Analytics http://www.analyticsvidhya.com/
Data Science/analytics/python training https://www.dataquest.io/ (recommended by AnalyticsVidhya)
Predictive Analytics World http://www.predictiveanalyticsworld.com/
Data analysis examples (UCLA) http://www.ats.ucla.edu/stat/dae/
LiStudy http://www.listudy.com/ Lists resources for learning data science, machine learning, statistics. (recommended by Persontyle)
MapR and Hadoop training https://www.mapr.com/
PythonLearn – Charles Severance (http://www.pythonlearn.com/)
Books
The following titles come recommended by AnalyticsVidhya:
Advanced R – Hadley Wickham Book (Amazon UK) Companion website
Predictive Analytics – Eric Siegel: Book (Amazon UK) Website
The following titles come recommended by Persontyle:
The Elements of Statistical Learning: Data Mining, Inference, and Prediction – Trevor Hastie, Jerome H. Friedman, Robert Tibshirani
Introduction to Machine Learning – Ethem Alpaydın
Introduction to Machine Learning – Nils J. Nilsson
Speech and Language Processing – Daniel Jurafsky, James Martin
Pattern Classification – Richard O. Duda, Peter E. Hart, David G. Stork
Statistical Analysis Using SPSS – Sabine Landau, Brian Everitt
An Introduction to Data Science – Jeffrey Stanton, Robert De Graaf
SAS and R -Data Management, Statistical Analysis, and Graphics – Ken Kleinman, Nicholas J. Horton
Excel 2007 Data Analysis and Business Modelling – Wayne Winston
Data Visualisation Platforms / Dashboards
Qlikview http://global.qlik.com/uk
Tableau http://www.tableau.com/
D3.js https://d3js.org/
Gephi (free open-source visualization and exploration software forgraphs and networks) https://gephi.org/
NodeXL (free, open-source Excel plugin for easy exploration of network graphs) http://nodexl.codeplex.com/
SigmaJS JavaScript library for graph drawing http://sigmajs.org/ (allows interactive networks to be published online or integrated into web apps)
Software & related
R – comprehensive R Archive Network https://cran.r-project.org/)
RStudio https://www.rstudio.com/
RSeek http://rseek.org/
StackOverflow http://stackoverflow.com/
Python https://www.python.org/
Converting Python v2.x to v3.0 https://docs.python.org/3/whatsnew/3.0.html
Collaboration & Sharing
GitHub (programming version control and collaboration) https://github.com/
Figshare (data sharing, particularly for academic and scientific studies) https://figshare.com/
Data & Statistical Sources
Statista www.statista.com
Statistic Brain www.statisticbrain.com
Dataquest www.dataquest.io
Google ngrams https://books.google.com/ngrams (refer link at bottom of page)
Sloan Digital Sky Survey http://www.sdss.org/
US Govnt. data http://www.data.gov/
UK Govnt. data https://data.gov.uk/ and statistics http://www.ons.gov.uk/
NASA open data https://open.nasa.gov/open-data/
Planet OS (enviro data) http://data.planetos.com/datasets
Weather API (historical & forecast): http://openweathermap.org/api
Forex API: http://www.myfxbook.com/api
Tracking Data APIs
– AIS\Ship tracking: http://owm.io/ais-api
– Flight\Airline tracking: https://uk.flightaware.com/commercial/flightxml/ \\ http://www.oag.com/flightview \\ https://developer.flightstats.com/ \\ http://openflights.org/data.html
(see also various help\Q&As here: http://www.programmableweb.com/api/flightstats \\ http://aviation.stackexchange.com/questions/3052/is-there-an-api-to-get-real-time-faa-flight-data \\ http://stackoverflow.com/questions/2895064/web-based-flight-status-api)
– Satellite tracking: https://data.nasa.gov/developer \\ https://www.space-track.org/documentation \\ http://wheretheiss.at/w/developer
(see also various help\Q&As here: https://www.reddit.com/r/space/comments/2cv7uk/api_for_tracking_satellites/ \\ http://www.programmableweb.com/api/satellite-situation-center-web-sscweb)
(Examples: http://www.jsc.nasa.gov/sightings/ \\ http://heavens-above.com/)
Data Warehousing
Article: Data Warehouse Architecture
Recommendations by:
Analytics Vidhya: The Ultimate Plan to Becoming A Data Scientist
Persontyle.com: Data Science Foundation Course: recommended reading