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Project 1

  • Students set up an ETL pipeline from scratch using public APIs. Students extracted Twitter data around music artists, and set up a pipeline to make this into a database of tweets and relevant attributes. After an ETL pipeline has been setup, a secondary and different workflow was established to confirm its accuracy. This was done in Python, and used Amazon Web Service (AWS) EC2 & S3.

Project 2

  • Analyze on Video Virality, exploring the creation of additional "UGC" videos (third-party generated content on YouTube's network, using R and Amazon Web Services (AWS) EC2.