Fort Collins Data Science Meetup 2

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Meetup link Transcripts provided by Adriana Flores

What is data science?

  • Extract knowledge/insights from data

11 Steps of a Data Science Project:

  1. Define the questions
  2. What do you want to know?
  3. Define the ideal data set
  4. What data can you access
    • Examples:
    • UCI: http://archive.ics.uci.edu/ml/
    • GoCodeColorado - http://gocode.colorado.gov/
    • Quandl - https://www.quandl.com/
  5. Obtain the data
  6. Clean the data
    • Data splitting - Caret package
    • Skewed data - Training set to represent the population
  7. Exploratory analysis
    • E.g. Summary status , missing data
  8. Statistical prediction/modeling
  9. Interpret results
  10. Challenge results
  11. Write up the story
  12. Write reproducible code
    • Markdown

Blog Posts

  1. Automating Marketing With R
  2. Crime Analysis

Resources mentioned:

  1. Jenny Bryan (GitHub)
  2. Udacity Git Course
  3. BigQuery (data warehouse)
  4. Caret package
  5. JsonLite (parser)
  6. R-Fiddle
  7. Web Scraping
    • Scrapy - https://scrapy.org/
    • Rvest - https://github.com/hadley/rvest

Data Sets:

  1. UCI: http://archive.ics.uci.edu/ml/
  2. GoCodeColorado - http://gocode.colorado.gov/
  3. Quandl - https://www.quandl.com/