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A Data Carpentry Workshop

COMBINE - University of Sydney

Oct 7-8, 2015

9:00 am - 5:00 pm

Instructors: Westa Domanova, Harriet Dashnow, Andrew Lonsdale, Fabian Held

Helpers: Rob Davidson, Steve Pederson, Beth Signal

This workshop is brought to you by:

COMBINE GigaScience

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, Data management with SQL, Introduction to R and Data analysis and visualization in R. 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 in the life sciences. You don't need any programming experience to attend, just a desire to learn!

Where: New Law School Seminar 102, University of Sydney. Get directions with OpenStreetMap or Google Maps.

Requirements: Participants must bring a laptop with a few specific software packages installed (listed below). They are also required to abide by Data Carpentry's Code of Conduct.

Registration: Please sign up using the registration form

Contact: Please mail combine@combine.org.au for more information.


Approximate Schedule

Day 1: Wednesday 7th Oct 2015 9am-5pm

Morning Data organization in spreadsheets and OpenRefine
Afternoon Data management with SQL

Day 2: Thursday 8th Oct 2015 9am-5pm

Morning Introduction to R
Afternoon Data analysis and visualization in R

Etherpad: https://etherpad.mozilla.org/2015-10-07-R-Data-Sydney.
We will use this Etherpad for chatting, taking notes, and sharing URLs and bits of code.


Syllabus

Data organization in spreadsheets and OpenRefine

Data management with SQL

  • Introduction to SQL
  • Basic queries
  • Aggregation
  • Joins and aliases

Data analysis and visualization in R

  • Introduction to R
  • Data Frames
  • Aggregating and analyzing data with dplyr
  • Data visualisation with ggplot2
  • R and SQL
  • Steve's bonus vectors lesson

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.