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A Data Carpentry Workshop

Lawrence Berkeley National Laboratory

June 27-28, 2017

9:00 am - 5:00 pm

Instructors: Avishek Kumar, Athanassios Kintsakis

Helpers: TBA

General Information

Data Carpentry workshops are for any researcher who has data they want to analyze, and no prior computational experience is required. This hands-on workshop teaches basic concepts, skills and tools for working more effectively with data.

We will cover Data organization in spreadsheets and OpenRefine, SQL for data management, Data Analysis and Visualization in Python and Data Analysis and Visualization in Python. Participants should bring their laptops and plan to participate actively. By the end of the workshop learners should be able to more effectively manage and analyze data and be able to apply the tools and approaches directly to their ongoing research.

Who: The course is aimed at graduate students and other researchers.

Where: 1 Cyclotron Road, Berkeley, Ca 94720, Building 71B Room 290. Get directions with OpenStreetMap or Google Maps.

Requirements: Participants must bring a laptop with a Mac, Linux, or Windows operating sytem (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed (listed below). They are also required to abide by Data Carpentry's Code of Conduct.

Contact: Please mail ecscharfstein@lbl.gov for more information.


Preliminary Schedule

Surveys

Please be sure to complete these surveys before and after the workshop.

Pre-workshop Survey

Post-workshop Survey

Day 1

Morning Data organization in spreadsheets and OpenRefine
Afternoon SQL for data management

Day 2

Morning Data Analysis and Visualization in Python
Afternoon Data Analysis and Visualization in Python

Setup

To participate in a Data Carpentry workshop, you will need working copies of the described software. Please make sure to install everything (or at least to download the installers) before the start of your workshop. Participants should bring and use their own laptops to insure the proper setup of tools for an efficient workflow once you leave the workshop.

Please follow these Setup Instructions.

We maintain a list of common issues that occur during installation as a reference for instructors that may be useful on the Configuration Problems and Solutions wiki page.