YoVDO

A Beginner's Guide to Open Source Metrics and Analysis

Offered By: Linux Foundation via YouTube

Tags

Data Analysis Courses Software Development Courses Data Visualization Courses GitHub Courses Version Control Courses Software Engineering Courses Data Management Courses Data Privacy Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Learn about open source metrics and analysis in this 24-minute conference talk by Sophia Vargas from Google. Explore the challenges of working with messy data, including ambiguity, inconsistencies, and bot activity in source code logs. Understand the importance of accountability, data sharing policies, licenses, and privacy documentation in open source projects. Discover good data practices, avoid misleading metrics, and gain insights into useful tools for analyzing open source contributions. This beginner-friendly presentation covers essential topics for anyone interested in measuring and understanding open source project dynamics.

Syllabus

Intro
Sophias background
Data is messy
Data issues
Ambiguity
Source Code Logs
Inconsistencies
Bots
Bots on Github
People
Layers
Accountability
PI
Data Sharing
Policies Licenses
Policy and Regulation
Privacy Documentation
Good Data Practices
Misleading Metrics
Tools
Conclusion


Taught by

Linux Foundation

Tags

Related Courses

The Data Scientist’s Toolbox
Johns Hopkins University via Coursera How to Use Git and GitHub
Udacity Ruby on Rails: An Introduction
Johns Hopkins University via Coursera Accediendo a la nube con iOS
Tecnológico de Monterrey via Coursera Responsive Website Development and Design Capstone
University of London International Programmes via Coursera