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DTSTAMP:20260614T183400Z
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DTSTART:20230601T090000Z
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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 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 exploring data
  using pandas\n* Performing statistical simulation and testing with numpy/
 scipy\n* Representing data in an efficient and impactful manner using seab
 orn\n\n# Audience\nThis course is addressed to life scientists\, bioinform
 aticians and researchers who are familiar with writing Python code and cor
 e Python elements and would like to explore if further in their daily data
  wrangling and exploration tasks.\n\n# Learning outcomes\nAt the end of th
 is course\, participants are expected to:\n* Parse any tabulated data set 
 in a couple of lines \n* Summarize and perform quality control on their da
 ta \n* Filter\, sub-sample or aggregate specific parts of their dataset(s)
  \n* Generate clear visual representations to explore data and communicate
  their findings \n\n\n# Prerequisites\n***Knowledge / competencies***\n\nT
 he course is targeted to life scientists\, bioinformaticians\, and researc
 hers who are already familiar with the Python programming language and who
  have basic knowledge in statistics. Competences and knowledge levels requ
 ired correspond to those taught in courses such as: [First Steps with Pyth
 on in Life Sciences](https://www.sib.swiss/training/course/20230301_PYTFS)
 \, [Introduction to statistics with Python](https://www.sib.swiss/training
 /course/20230620_STATP) and [Introduction to statistics with R](https://ww
 w.sib.swiss/training/course/20230206_STATR).\n**Test your skills with Pyth
 on and statistics with [the quiz here](https://forms.gle/iCydNS8LUUkm7csz7
 )\, before registering. We recommend 4 out of 6 correct answers.**\n\nA fe
 w days before the course\, registered participants will receive a small "w
 arm-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 librari
 es are working properly. \n\n\n***Technical***\n\nYou are required to use 
 your own laptop\, with a recent Python 3 version. \nPlease make sure you h
 ave install Anaconda\, Jupyter notebook and the needed Python librairies o
 n your personal laptop before the start of the course.\nYou can find all t
 he information for the prerequisiste installation [here](https://github.co
 m/sib-swiss/intermediate-python-training#prerequisite-installation).\n\n\n
 # Application\n\n\nRegistration fees for academics are **100 CHF** and **5
 00 CHF** for for-profit companies. While participants are registered on a 
 first come\, first served basis\, exceptions may be made to ensure diversi
 ty and equity\, which may increase the time before your registration is co
 nfirmed.\n\nApplications will close as soon as the places will be filled u
 p. Deadline for free-of-charge cancellation is set to **18/05/2023**. Canc
 ellation after this date will not be reimbursed. Please note that particip
 ation in SIB courses is subject to our [general conditions](https://www.si
 b.swiss/training/terms-and-conditions).\n\nYou will be informed by email o
 f your registration confirmation. Upon reception of the confirmation email
 \, participants will be asked to confirm attendance by paying the fees wit
 hin 5 days.\n\n# Venue 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 inf
 ormation will be provided to the participants in due time.\n\n\n#  Additio
 nal information\nCoordination: Diana Marek\,  SIB Training Group.\n\nWe wi
 ll recommend 0.25 ECTS credits for this course (given a passed exam at the
  end of the course).\n\nYou are welcome to register to the SIB courses mai
 ling list to be informed of all future courses and workshops\, as well as 
 all important deadlines using the form [here](https://lists.sib.swiss/mail
 man/listinfo/courses).\n\nPlease note that participation in SIB courses is
  subject to our [general conditions](https://www.sib.swiss/training/terms-
 and-conditions).\n\nSIB abides by the [ELIXIR Code of Conduct](https://eli
 xir-europe.org/events/code-of-conduct). Participants of SIB courses are al
 so required to abide by the same code.\n\nFor more information\, please co
 ntact [training@sib.swiss](mailto://training@sib.swiss).
SUMMARY:Data Analysis and Representation in Python
URL;VALUE=URI:https://www.sib.swiss/training/course/20230601_DARPY
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