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Data Collection and Data Quality Engineering

Data Science

  • Students set up an ETL pipeline from scratch using public API’s. Students used Python and leveraged Amazon Web Service EC2 & S3 to extract Twitter data around music artists, and later set up a pipeline to make this into a database of tweets and relevant attributes. Students leveraged Amazon Web Service EC2 and S3 again to create a secondary and different workflow to confirm its accuracy.
  • Students analyzed Video Virality by exploring the creation of additional UGC videos (third-party generated content on YouTube’s network). Students leveraged Amazon Web Services EC2.
  • Mentor: Rick Saporta
  • Students: Zach Levine, Ziad Amir