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About |
A series of informal sessions among coding enthusiasts, with a common interest in tools for crunching data, performing statistical analyses and reporting them. Quite R
-based but definitely open to other languages/tools of interest.
Members of the Department of Statistics (professors, postdocs, PhD students, MSc students) and other departments (Mathematics, Economics, Computer Science and Engineering, etc). Any person with interest in coding is welcome to join.
Biweekly or triweekly sessions, see the calendar for more info.
At the Department of Statistics, either in Leganés or Getafe.
Because:
- We like coding and keeping up-to-date in the most recent advances and methodologies.
- We want to exchange knowledge between colleagues and benefit from their expertise.
- We look forward to learn better tools for teaching and presenting results.
- It is funnier to learn with more people than on your own!
Sessions to be held in a room equipped with a projector and spots for laptops. The idea is that attendees bring their own laptops to the session and are able to follow the reproducible codes. The main topic of the session is communicated by email a week before.
The sessions are typically scheduled for 60 minutes, with a strong compromise to keep the duration of the session at this limit.
One speaker presents a topic he/she may think it is of interest using materials with reproducible code. Attendees follow the materials and may ask questions or doubts on the go. The presentation is informal and the speaker's goal is to deliver the key insights behind the code, useful tricks and patches to common errors.
The materials for each session are hosted in this website as posts. Each post will be solely authored by the presenter, hence providing a proof of participation. Also, the post may contain possible follow-ups and comments to the sessions.
We are looking for speakers that are willing to contribute a main topic presentation at some point. If you are interested, then please fill in this form.
If you want to contribute a talk and are looking for inspiration, you may want to consider some suggestions (strikeout text means the topic was already covered) of topics that could be of interest to the participants. Also, feel free to suggest topics in which you are interested that are not listed here!
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About
R
packages: -
About more general topics:
Introduction to Julia- Introduction to Mathematica
- Introduction to Python
- Introduction to Stan
- How to develop efficiently with GitHub
Send an email to [email protected]
All material in this website is licensed under CC BY-NC-SA 4.0.