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Data Science: Productivity Tools 
offered by Harvard University

Data Science: Productivity Tools
 at 
Harvard University 
Overview

Keep your projects organized and produce reproducible reports using GitHub, git, Unix/Linux, and RStudio.

Duration

8 weeks

Mode of learning

Online

Difficulty level

Beginner

Official Website

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Course Level

UG Certificate

Data Science: Productivity Tools
 at 
Harvard University 
Highlights

  • Earn a certificate
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Data Science: Productivity Tools
 at 
Harvard University 
Course details

What are the course deliverables?
  • How to use Unix/Linux to manage your file system
  • How to perform version control with git
  • How to start a repository on GitHub
  • How to leverage the many useful features provided by RStudio
More about this course
  • A typical data analysis project may involve several parts, each including several data files and different scripts with code
  • This course explains how to use Unix/Linux as a tool for managing files and directories on computer and how to keep the file system organized
  • Learner will be introduced to the version control systems git, a powerful tool for keeping track of changes in your scripts and reports
  • The course also introduce to GitHub and demonstrate how can learners use this service to keep their work in a repository that facilitates collaborations
  • Finally, learner will learn to write reports in R markdown which permits you to incorporate text and code into a document

Data Science: Productivity Tools
 at 
Harvard University 
Curriculum

Data Science, Data Analysis, R

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Data Science: Productivity Tools
 at 
Harvard University 
Faculty details

Rafael Irizarry
Designation : Professor of Biostatistics, T.H. Chan School of Public Health

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Data Science: Productivity Tools
 at 
Harvard University 
Contact Information

Address

1350 Massachusetts Ave, Cambridge, Massachusetts 02138, USA
Cambridge ( Massachusetts)

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