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CMU Libraries Open Data Science Workshops
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GitHub and GitHub Pages
Command Line Crash Course
Version Control with Git
Setup
Automated Version Control
Setting Up Git
Creating a Repository
Tracking Changes
Exploring History
Ignoring Things
Git Cheatsheets for Quick Reference
Discussion
Collaborating with GitHub
Websites and Portfolios with GitPages
1. Background Info
2. Hands On
3. Advanced
Git Glossary
Cleaning Untidy Data with OpenRefine
Setup
Part 1 OpenRefine Basics with Personal Consumption Expeditures Data
Importing data
Basic data cleanup
Sorting, filtering and faceting
Transposing data
Advanced facets
Exporting data
Part 2 Advanced Data Cleaning with Citizen Science Data
Clustering
Splitting and concatenating
Restructuring data
Extracting JSON script and shutting down OpenRefine
Project Management with Open Science Framework
Setup
Workshop Exercises
Research Data Management
Python for Data Science
Setup
Introduction to Basic Programming with Data
Running and Quitting
Variables and Assignment
Data Types and Type Conversion
Built-in Functions and Help
Plotting and Analyzing Tabular Datasets
Libraries
Reading Tabular Data into DataFrames
Pandas DataFrames
Plotting
Analyzing Data with Logic and Iteration
Lists
For Loops
Conditionals
Looping over Datasets
Python for Harvesting Data on the Web
Making the Most with Jupyter Lab and Notebooks
Introduction to Command Line Interface
Setup
Exploring Files and Directories
Working with Files and Directories
Pipes & Filters
Advanced Research Note-Taking with Obsidian
Getting Started with Obsidian
Creating and Formatting Notes
Linking Notes and Visualizing Connections
Enhancing Your Vault with Plugins
Syncing Your Zotero Collection
Encapsulating Reproducible Computational Research with Code Ocean
Collaboration for Community Engagement
Academic Publishing Processes and Models
Acknowledgements
Introduction to R Getting started with R and RStudio
Setup
Introduction to R Part 1
Getting Started
Creating objects in R
Comments
Functions and arguments
Working with vectors
Missing data
Introduction to R Part 2
Importing and inspecting dataframes
Indexing and subsetting dataframes
Factors
Data wrangling with dplyr
Exporting data
Additional resources
About
Citizen Science Featurettes
License
CMU Libraries Open Data Science Workshops Page
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CC BY 4.0
