index.md

layout	root	lastupdated	contributors	maintainers	domain	topic	software	dataurl	status
lesson	.	August 18, 2015	Christie Bahlai Aleksandra Pawlik Jennifer Bryan Alexander Duryee Jeffrey Hollister Daisie Huang Owen Jones Ben Marwick Tracy Teal	Aleksandra Pawlik Tracy Teal	Social Science	Spreadsheets	Spreadsheets	https://ndownloader.figshare.com/files/2252083	Teaching

#Data Carpentry {{ page.topic }} for {{ page.domain }}

Data Carpentry's aim is to teach researchers basic concepts, skills, and tools for working with data so that they can get more done in less time, and with less pain. The lessons below were designed for those interested in working with {{page.domain %}} data in {{page.topic %}}.

Content Contributors: {{page.contributors | join: ', ' %}}

Lesson Maintainers: {{page.maintainers | join: ', ' %}}

Lesson status: {{ page.status }}

Instructors

See Instructor notes on how to teach this lesson.

Lessons:

1. Introduction
2. Formatting data
3. Common formatting problems
4. Dates as data
5. Exporting data
6. Data Format Caveats

Slides

Slides for this lesson: Slides as Powerpoint or Slides as pdf

Data

Data files for the lesson are available here

Requirements

Data Carpentry's teaching is hands-on, so participants are encouraged to use their own computers to insure the proper setup of tools for an efficient workflow. These lessons assume no prior knowledge of the skills or tools, but working through this lesson requires working copies of the software described below. To most effectively use these materials, please make sure to install everything before working through this lesson.

{% if page.software == "Python" %} {% include pythonSetup.html %} {% elsif page.software == "Spreadsheets" %} {% include spreadsheetSetup.html %} {% elsif page.software == "R" %} {% include rSetup.html %} {% else %} {% include anySetup.html %} {% endif %}

Twitter: @datacarpentry