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This project forked from tzstatsads /ads_teaching
Teaching repo for Applied Data Science @ Columbia, a project-based course for data science skills (statistical thinking, machine learning, data engineering, team work, presentation, endurance of frustration, etc).
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Jupyter Notebook 0.01%
CSS 0.01%
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ads_teaching's Introduction
Stat GR4243/5243 Applied Data Science
Fall 2019 - Teaching Materials (Syllabus )
Project cycle 1: (Individual) R notebook for exploratory data analysis
(starter codes )
Project cycle 2: Shiny App Development
(starter codes )
Project 2 starts.
Check Piazza for your project team and GitHub join link .
After you join project 2, you can clone your team's GitHub repo to your local computer.
You can find in the starter codes
the project description,
an example toy shiny app
a short tutorial to get you started.
Project cycle 3: Predictive Modeling
(starter codes )
Project 3 starts.
Check Piazza for your project team and GitHub join link.
After you join project 3, you can clone your team's GitHub repo to your local computer.
You can find in the starter codes
Recap on project 3 requirements and starter codes.
Tutorials + Q&A
Project submission checklist
Discussion
Project 3 submission and presentations
Project cycle 4: Algorithm implementation and evaluation
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