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DTSTAMP:20260615T125325Z
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DTSTART:20240516T090000Z
DTEND:20240516T170000Z
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\nThis course is addressed to life scientists\, bi
 oinformaticians and researchers who are familiar with writing Python code 
 and core Python elements and would like to explore if further in their dai
 ly data wrangling and exploration tasks.\n\n# Learning outcomes\nAt the en
 d of this course\, participants are expected to:\n* Parse any tabulated da
 ta set in a couple of lines \n* Summarize and perform quality control on t
 heir data \n* Filter\, sub-sample or aggregate specific parts of their dat
 aset(s) \n* Generate clear visual representations to explore data and comm
 unicate their findings \n\n\n# Prerequisites\n***Knowledge / competencies*
 **\n\nThe course is targeted to life scientists\, bioinformaticians\, and 
 researchers who are already familiar with the Python programming language 
 and who have basic knowledge in statistics. Competences and knowledge leve
 ls required correspond to those taught in courses such as: [First Steps wi
 th Python in Life Sciences](https://www.sib.swiss/training/course/20240304
 _FSWP) and [Introduction to statistics with R](https://www.sib.swiss/train
 ing/course/20230206_STATR).\n**Test your skills with Python and statistics
  with [the quiz here](https://forms.gle/iCydNS8LUUkm7csz7)\, before regist
 ering. We recommend 4 out of 6 correct answers.**\n\nA few days before the
  course\, registered participants will receive a small "warm-up" jupyter n
 otebook to go through. This will be in order to help them get a quick refr
 esher on their python know-how and check that all libraries are working pr
 operly. \n\n\n***Technical***\n\nYou are required to use your own laptop\,
  with a recent Python 3 version. \nPlease make sure you have install Anaco
 nda\, Jupyter notebook and the needed Python librairies on your personal l
 aptop before the start of the course.\nYou can find all the information fo
 r the prerequisiste installation [here](https://github.com/sib-swiss/inter
 mediate-python-training#prerequisite-installation).\n\n\n# Application\n\n
 \nRegistration fees for academics are **100 CHF** and **500 CHF** for for-
 profit companies. While participants are registered on a first come\, firs
 t served basis\, exceptions may be made to ensure diversity and equity\, w
 hich may increase the time before your registration is confirmed.\n\nAppli
 cations will close as soon as the places will be filled up. Deadline for f
 ree-of-charge cancellation is set to **8/05/2024**. Cancellation after thi
 s date will not be reimbursed. Please note that participation in SIB cours
 es is subject to our [general conditions](https://www.sib.swiss/training/t
 erms-and-conditions).\n\nYou will be informed by email of your registratio
 n confirmation. Upon reception of the confirmation email\, participants wi
 ll be asked to confirm attendance by paying the fees within 5 days.\n\n# V
 enue and Time\nThis course will be streamed using Zoom.\n\nThe course will
  start at 9:00 and end around 17:00 CEST.\n\nPrecise information will be p
 rovided to the participants in due time.\n\n#  Additional information\nCoo
 rdination: Grégoire Rossier\,  SIB Training Group.\n\nWe will recommend 0
 .25 ECTS credits for this course (given a passed exam at the end of the co
 urse).\n\nYou are welcome to register to the SIB courses mailing list to b
 e informed of all future courses and workshops\, as well as all important 
 deadlines using the form [here](https://lists.sib.swiss/mailman/listinfo/c
 ourses).\n\nPlease note that participation in SIB courses is subject to ou
 r [general conditions](https://www.sib.swiss/training/terms-and-conditions
 ).\n\nSIB abides by the [ELIXIR Code of Conduct](https://elixir-europe.org
 /events/code-of-conduct). Participants of SIB courses are also required to
  abide by the same code.\n\nFor more information\, please contact [trainin
 g@sib.swiss](mailto://training@sib.swiss).
SUMMARY:Data Analysis and Representation in Python
URL;VALUE=URI:https://www.sib.swiss/training/course/20240516_DARPY
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