Resources
https://github.com/davidfischer/dataviz-with-d3js
https://github.com/ipython/ipython/wiki/A-gallery-of-interesting-IPython-Notebooks
http://pandas.pydata.org/pandas-docs/stable/index.html # Pandas documentation https://www.youtube.com/watch?v=MxRMXhjXZos&feature=youtu.be
https://dataquest.io/missions http://www.datacommunitydc.org/blog/2013/07/python-for-data-analysis-the-landscape-of-tutorials https://www.kaggle.com/forums/f/208/getting-started/t/2922/new-to-data-science-formally http://www.analyticsvidhya.com/learning-paths-data-science-business-analytics-business-intelligence-big-data/learning-path-data-science-python/
http://ai.berkeley.edu/tutorial.html#PythonBasics https://www.youtube.com/watch?v=OSGv2VnC0go
https://archive.ics.uci.edu/ml/datasets.html https://bigml.com/gallery/datasets/consumer_and_retail?reload http://www.kdnuggets.com/2015/04/awesome-public-datasets-github.html
https://data.cambridgema.gov/Traffic-Parking-and-Transportation/Cambridge-Parking-Tickets-for-the-period-January-t/vnxa-cuyr US Census Bureau http://www.census.gov/retail/marts/www/timeseries.html https://www.data.gov https://bigml.com http://rs.io/100-interesting-data-sets-for-statistics/
http://pushizoey.com/yelpVis.html https://github.com/kevin11h/YelpDatasetChallengeDataScienceAndMachineLearningUCSD http://java.dzone.com/articles/yelp-graph-checkin-based