Data Carpentry Workshop #2 In-Person
This workshop uses a tabular dataset and teaches data cleaning, management, analysis and visualization. There are no pre-requisites, and the materials assume no prior knowledge about the tools.
The course materials, syllabus, and installation instructions can be found here: https://nyu-dataservices.github.io/2019-04-11-nyu/
Day 1 - April 11:
- Data Organization in Spreadsheets: https://datacarpentry.org/spreadsheet-ecology-lesson/
- Data Cleaning with OpenRefine: https://datacarpentry.org/OpenRefine-ecology-lesson/
Day 2 - April 12:
- Data Management with SQL: https://datacarpentry.org/sql-ecology-lesson/
- Data Analysis and Visualization in Python: https://datacarpentry.org/python-ecology-lesson/
Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Our mission is to provide researchers high-quality, domain-specific training covering the full lifecycle of data-driven research. Data Carpentry is a sibling organization of Software Carpentry. Where Software Carpentry teaches best practices in software development, our focus is on the introductory computational skills needed for data management and analysis in all domains of research.
Related LibGuide: Data Services by Carol Choi
- Dates & Times:
- 9:00am - 4:30pm, Thursday, April 11, 2019
9:00am - 4:30pm, Friday, April 12, 2019
- Time Zone:
- Eastern Time - US & Canada (change)
- Location:
- Dibner Library, LC 337
- Libraries:
- Bern Dibner Library
- Audience:
- Students, Faculty, Staff & Community Members
Librarian for Research Data Management and Reproducibility
Subject Specialist: Computer Science; Data Science