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Comcast Data Academy 060820

This course is part of the in-person / live-streaming delivery of the Comcast Data Academy, and is not meant as a standalone, asynchronous course.

Course Objectives

  • Build your programming skills in Python
  • Learn how to implement powerful data science methods
  • Create a capstone project to move your team forward

Week 1:
Welcome to Data Science Academy

Week 2:
Data Preparation I; Modeling with Regression I; Modeling with Regression II

Weeks 3-6:
Classification I day 1
Classification I day 2
Classification II day 1
Classification II day 2

Weeks 7-8:
Machine Learning I day 1
Machine Learning I day 2

Week 9:
Data prep and visualization; Machine Learning II; Machine Learning III

Weeks 10-13:
Clustering I day 1
Clustering I day 2
Clustering II day 1
Clustering II day 2

Weeks 14-15:
Text Mining day 1
Text Mining day 2

Weeks 16-25:
Case Study I
Review/Examples
Case Study II
Review/Examples
Case Study III
Review/Examples
Case Study IV
Review/Examples
Case Study V
Review/Examples

Week 26:
Tools I: Spark; Tools II: R; Tools III: TBD

Weeks 35:
Final Project Kickoff
Open Office Hours
Open Office Hours
Open Office Hours
Open Office Hours
Open Office Hours
Open Office Hours
Open Office Hours
Open Office Hours (Final Projects Due)

Week 36:
Presentations / Guest Speakers / Graduation