Data Carpentry in R Beginners
In many domains of research the rapid generation of large amounts of data is fundamentally changing how research is done. The deluge of data presents great opportunities, but also many challenges in managing, analyzing and sharing data.
Data Carpentry workshops are designed to teach basic concepts, skills and tools for working more effectively with data, using a combination of tools with a main focus in R. The workshop is aimed at researchers in the life sciences at all career stages and is designed for learners with little to no prior knowledge of programming, shell scripting, or command line tools.
This course is organized in collaboration with ElixirUK and the Software Sustainability Institute.
Please note that if you are not eligible for a University of Cambridge Raven account you will need to book by linking here.
- Graduate students, Postdocs and Staff members from the University of Cambridge, Affiliated Institutions and other external Institutions or individuals
- Please be aware that these courses are only free for University of Cambridge students. All other participants will be charged a registration fee in some form. Registration fees and further details regarding the charging policy are available here.
- Further details regarding eligibility criteria are available here
This course is aimed at beginners, no prior knowledge is required
Number of sessions: 2
| # | Date | Time | Venue | Trainers | |
|---|---|---|---|---|---|
| 1 | Mon 24 Sep 2018 09:30 - 17:30 | 09:30 - 17:30 | Bioinformatics Training Room, Craik-Marshall Building | map | Ashley Sawle, Mark Fernandes, Dr Alexia Cardona, Hugo Tavares |
| 2 | Tue 25 Sep 2018 09:30 - 17:30 | 09:30 - 17:30 | Bioinformatics Training Room, Craik-Marshall Building | map | Ashley Sawle, Mark Fernandes, Hugo Tavares, Dr Alexia Cardona |
Thinking beyond Excel, Introduction to R, Working with data in R, Working with command line and automation, Bioinformatics, Data handling
During this course you will learn about:
- How to use spreadsheet programs (such as Excel) more effectively, and the limitations of such programs
- Getting data out of spreadsheets and into more powerful tools (R)
- Data management and manipulation
- Data visualization
- Workflows and automating repetitive tasks, in particular using the command line shell
After this course you should be able to:
- Retrieve, view, manipulate, analyze and store data in an open and reproducible way
Presentations, demonstrations and practicals
| Day 1 | Topics |
| Session 1 | Data organization in spreadsheets |
| Session 2 | Data cleaning with OpenRefine |
| Session 3 | Data analysis with R |
| Day 2 | |
| Session 1 | Data manipulation using the R package dplyr |
| Session 2 | Data visualisation using the R package ggplot2 |
| Session 3 | Interacting with databases from R |
- Free for University of Cambridge students
- £ 50/day for all University of Cambridge staff, including postdocs, and participants from Affiliated Institutions. Please note that these charges are recovered by us at the Institutional level
- It remains the participant's responsibility to acquire prior approval from the relevant group leader, line manager or budget holder to attend the course. It is requested that people booking only do so with the agreement of the relevant party as costs will be charged back to your Lab Head or Group Supervisor.
- £ 50/day for all other academic participants from external Institutions and charitable organizations. These charges must be paid at registration
- £ 100/day for all Industry participants. These charges must be paid at registration
- Further details regarding the charging policy are available here
2
twice per year
- An Introduction to Solving Biological Problems with R
- Software Carpentry: Instructor training
- Basic statistics and data handling
Booking / availability