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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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Name		Name	Last commit message	Last commit date
Latest commit History 891 Commits
1-Spring2016		1-Spring2016
2-Fall2016		2-Fall2016
3-Spring2017		3-Spring2017
4-Fall2017		4-Fall2017
5-Spring2018		5-Spring2018
6-Fall2018		6-Fall2018
7-Spring2019		7-Spring2019
8-Fall2019		8-Fall2019
CourseInfo		CourseInfo
Projects_StarterCodes		Projects_StarterCodes
Tutorials		Tutorials
.DS_Store		.DS_Store
.gitignore		.gitignore
README.md		README.md
README_.md		README_.md

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Stat GU4243/GR5243 Applied Data Science

Spring 2020 - Teaching Materials (Syllabus)

Shortcuts: Project 1 | Project 2 | Project 3 | Project 4

Project cycle 1: (Individual) R notebook for exploratory data analysis

(starter codes)

Week 1 (Jan 22)

Introduction to ADS
Project 1 description
Tutorial 1 R Notebook + Example: Repo | Knitted HTML R Notebook | Presentation
A tutorial on GitHub

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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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