BEGIN:VCALENDAR VERSION:2.0 PRODID:icalendar-ruby CALSCALE:GREGORIAN BEGIN:VEVENT DTSTAMP:20260615T224353Z UID:25ce4626-9b04-4702-93f9-1262fe152a28 DTSTART:20251110T090000Z DTEND:20251110T170000Z DESCRIPTION:# Overview\nPython is an open-source and general-purpose script ing language which runs on all major operating systems. It was designed to be easily read and written with comparatively simple syntax. Over the rec ent years Python has become a programming language of choice for bioinform atics and data analysis\, and in particular for applications that make use of machine learning or deep learning. However\, these applications usuall y require a good mastering of a few modules (such as numpy\, or pandas) th at can go beyond basic Python commands. This 1-day course will introduce m odules and recipes to unlock the potential of Python for day-to-day data e xploration and analysis of real-life datasets.\n\nTopics that will be cove red in this course include:\n* Parsing\, transforming\, and exporting data using pandas\n* Exploring data\, and creating useful summaries using pand as and numpy\n* Representing data in an efficient and impactful manner usi ng seaborn\n\n# Audience\n\nThis course is designed for PhD students\, pos tdoctoral and other researchers in the life sciences from both academia an d industry who are familiar with writing Python code and core Python eleme nts and would like to explore it further in their daily data wrangling and exploration tasks.\n\n# Learning outcomes\nAt the end of this course\, pa rticipants are expected to:\n* Parse any tabulated data set in a couple of lines \n* Summarize and perform quality control on their data \n* Filter\ , sub-sample or aggregate specific parts of their dataset(s) \n* Generate clear visual representations to explore data and communicate their finding s \n\n\n# Prerequisites\n***Knowledge / competencies***\n\nThe course is t argeted to life scientists\, bioinformaticians\, and researchers who are a lready familiar with the Python programming language and who have basic kn owledge in statistics. Competences and knowledge levels required correspon d to those taught in courses such as: [First Steps with Python in Life Sci ences](https://www.sib.swiss/training/course/20250917_FSWP) and [Introduct ion to statistics with R](https://www.sib.swiss/training/course/20250127_S TATR).\n**Test your skills with Python and statistics with [the quiz here] (https://forms.gle/iCydNS8LUUkm7csz7)\, before registering. We recommend 4 out of 6 correct answers.**\n\nA few days before the course\, registered participants will receive a small "warm-up" jupyter notebook to go through . This will be in order to help them get a quick refresher on their python know-how and check that all libraries are working properly. \n\n\n***Tech nical***\n\nYou are required to use your own laptop\, with a recent Python 3 version. \nPlease make sure you have install Anaconda\, Jupyter noteboo k and the needed Python librairies on your personal laptop before the star t of the course.\nYou can find all the information for the prerequisiste i nstallation [here](https://github.com/sib-swiss/intermediate-python-traini ng#prerequisite-installation).\n\n\n# Application\n\n\nRegistration fees f or academics are **100 CHF** and **500 CHF** for for-profit companies. \n\ nWhile participants are registered on a first come\, first served basis\, exceptions may be made to ensure diversity and equity\, which may increase the time before your registration is confirmed.\n\nApplications will clos e on **03/11/2025** or as soon as the places will be filled up. Deadline f or free-of-charge cancellation is set to **03/11/2025**. Cancellation afte r this date will not be reimbursed. \n\nYou will be informed by email of y our registration confirmation. Upon reception of the confirmation email\, participants will be asked to confirm attendance by paying the fees within 5 days.\n\n# Venue and Time\nThis course will be streamed using Zoom.\n\n The course will start at 9:00 and end around 17:00 CET.\n\nPrecise informa tion will be provided to the participants in due time.\n\n# Additional in formation\nCoordination: Diana Marek\, SIB Training Group.\n\nWe will rec ommend 0.25 ECTS credits for this course (given a passed exam at the end o f the course).\n\nYou are welcome to register to the SIB courses mailing l ist to be informed of all future courses and workshops\, as well as all im portant deadlines using the form [here](https://lists.sib.swiss/postorius/ lists/courses.lists.sib.swiss/).\n\nPlease note that participation in SIB courses is subject to our [general conditions](https://www.sib.swiss/train ing/terms-and-conditions).\n\nSIB abides by the [ELIXIR Code of Conduct](h ttps://elixir-europe.org/events/code-of-conduct). Participants of SIB cour ses are also required to abide by the same code.\n\nFor more information\, please contact [training@sib.swiss](mailto://training@sib.swiss). SUMMARY:Data Analysis and Representation in Python URL;VALUE=URI:https://www.sib.swiss/training/course/20251110_DARPY END:VEVENT END:VCALENDAR