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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 is an introducti
 on to modules (mainly pandas and seaborn) and recipes to unlock the potent
 ial of Python for day-to-day data exploration and analysis of real-life da
 tasets.\n\nTopics that will be covered in this course include:\n* Parsing\
 , transforming\, and exporting data using pandas\n* Exploring data\, and c
 reating useful summaries using pandas and numpy\n* Representing data in an
  efficient and impactful manner using seaborn\n\n# Audience\n\nThis course
  is designed for PhD students\, postdoctoral and other researchers in the 
 life sciences from both academia and industry who are familiar with writin
 g Python code and core Python elements and would like to explore it furthe
 r in their daily data wrangling and exploration tasks.\n\n# Learning outco
 mes\nAt the end of this course\, participants are expected to:\n* Parse an
 y tabulated data set in a couple of lines \n* Summarize and perform qualit
 y control on their data \n* Filter\, sub-sample or aggregate specific part
 s of their dataset(s) \n* Generate clear visual representations to explore
  data and communicate their findings \n\n\n# Prerequisites\n***Knowledge /
  competencies***\n\nThe course is targeted to life scientists\, bioinforma
 ticians\, and researchers who are already familiar with the Python program
 ming language and who have basic knowledge in statistics. Competences and 
 knowledge levels required correspond to those taught in courses such as: [
 First Steps with Python in Life Sciences](https://www.sib.swiss/training/c
 ourse/20250917_FSWP) and [Introduction to statistics with R](https://www.s
 ib.swiss/training/course/20250127_STATR).\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 d
 ays before the course\, registered participants will receive a small "warm
 -up" jupyter notebook to go through. This will be in order to help them ge
 t a quick refresher on their python know-how and check that all libraries 
 are working properly. \n\n\n***Technical***\n\nYou are required to use you
 r own laptop\, with a recent Python 3 version. \nPlease make sure you have
  install Anaconda\, Jupyter notebook and the needed Python librairies on y
 our personal laptop before the start of the course.\nYou can find all the 
 information for the prerequisiste installation [here](https://github.com/s
 ib-swiss/intermediate-python-training#prerequisite-installation).\n\n\n# A
 pplication\n\n\nRegistration fees for 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 divers
 ity and equity\, which may increase the time before your registration is c
 onfirmed.\n\nApplications will close on **02/04/2026** or as soon as the p
 laces will be filled up. Deadline for free-of-charge cancellation is set t
 o **31/03/2026**. Cancellation after this date will not be reimbursed. \n\
 nYou will be informed by email of your registration confirmation. Upon rec
 eption of the confirmation email\, participants will be asked to confirm a
 ttendance by paying the fees within 5 days.\n\n# Venue and Time\nThis cour
 se will be streamed using Zoom.\n\nThe course will start at 9:00 and end a
 round 17:00 CET.\n\nPrecise information will be provided to the participan
 ts in due time.\n\n#  Additional information\nCoordination: Valeria Di Col
 a\, SIB Training Group.\n\nWe will recommend 0.25 ECTS credits for this co
 urse (given a passed exam at the end of the course).\n\nYou are welcome to
  register to the SIB courses mailing list to be informed of all future cou
 rses and workshops\, as well as all important deadlines using the form [he
 re](https://lists.sib.swiss/postorius/lists/courses.lists.sib.swiss/).\n\n
 Please note that participation in SIB courses is subject to our [general c
 onditions](https://www.sib.swiss/training/terms-and-conditions).\n\nSIB ab
 ides by the [ELIXIR Code of Conduct](https://elixir-europe.org/events/code
 -of-conduct). Participants of SIB courses are also required to abide by th
 e 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/20260414_DARPY
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