Comcast Data Academy 031819
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