Python Data Analytics: Class Demo Day
Register @ http://bit.ly/1DjZRrJ
Monday, March 9, 2015
7:00 PM to 9:00 PM
WeWork
205 E. 42nd Street, 16th floor, New York, NY
NYC Data Science Academy Python Data Analytics Class 6th batch is graduating. They learned all the skills through 5 days of weekend and will apply them into real world problem.
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Travis
Goal: draw insight from bug report
Data: issue tracking system(JIRA) ,
Steps: extract text, Bug with Keywords, Categorize errors, related to front end and back end, which part have more issues
Tools: Pandas, NLTK(for NLP), Matplotlib
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Michael
Goal: analyze relationship between sport broadcast and next morning rates
Data: generalized view rate data
Steps: aggregate clean data, find competitiveness data, regression analysis
Tools: Pandas, ggplot, Seaborn, Numpy
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Aaron
Goal: load big amount of data
Data: maybe yelp data challenge or nyc open data
Steps: find your dataset, batch processing, error handling
Tools: Numpy
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Alejandro
Goal: make Spyre application(similar to shiny)
Data: NYC Open Data on commercial data
Steps: connect to API, download from API, Geo-code address, put in google map, dump data into sqlite
Tools: ggplot, ggmap, Numpy, Pandas
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Matt
Goal: find correlation to success of liquor store
Data: liquor data from nyc open data
Steps: find correlation and relationship to location, entrance of subway
Tools: Pandas, Numpy, ggplot, matplotlib
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Ed
Goal: Portfolio optimization
Data: Bloomberg terminal data
Steps: implement blacklitterman model
Tools: Pandas, Numpy, ggplot
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Madeeha
Goal: find keywords with events
Data: twitter API location data
Steps: string manipulation, twitter API
Tools: text mining, Pandas, Numpy