BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260818T190513Z
UID:c4a852c9-f4eb-4441-9af1-2934609b6f0d
DTSTART:20260414T090000Z
DTEND:20260414T170000Z
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* **Execut
 e** parsing into any tabulated data set in a couple of lines \n* **Summari
 ze** and **execute** quality control on their data \n* **Execute** a filte
 r\, sub-sample or aggregation of specific parts of their dataset(s) \n* **
 Develop** clear visual representations to explore data and communicate the
 ir findings \n\n\n# Prerequisites\n***Knowledge / competencies***\n\nThe c
 ourse is targeted to life scientists\, bioinformaticians\, and researchers
  who are already familiar with the Python programming language and who hav
 e basic knowledge in statistics. \n\nThis course is part of the [Machine L
 earning](https://www.sib.swiss/training/learning-paths?path=machine-learni
 ng) learning path. To get the most out of this course\, you should meet th
 e learning outcomes of [First Steps with Python in Life Sciences](https://
 www.sib.swiss/training/course/FSWPY) and [Introduction to statistics with 
 R](https://www.sib.swiss/training/course/STATR) course(s). \n\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 a
 nswers.**\n\nA few days before the course\, registered participants will r
 eceive a small "warm-up" jupyter notebook to go through. This will be in o
 rder to help them get a quick refresher on their python know-how and check
  that all libraries are working properly. \n\n\n\n\n***Technical***\n\nYou
  are required to use your own laptop\, with a recent Python 3 version. \nP
 lease make sure you have install Anaconda\, Jupyter notebook and the neede
 d Python librairies on your personal laptop before the start of the course
 .\nYou can find all the information for the prerequisiste installation [he
 re](https://github.com/sib-swiss/intermediate-python-training#prerequisite
 -installation).\n\n\n# Application\n\n\nRegistration fees for academics ar
 e **100 CHF** and **500 CHF** for for-profit companies. \n\nWhile particip
 ants are registered on a first come\, first served basis\, exceptions may 
 be made to ensure diversity and equity\, which may increase the time befor
 e your registration is confirmed.\n\nApplications will close on **02/04/20
 26** or as soon as the places will be filled up. Deadline for free-of-char
 ge cancellation is set to **31/03/2026**. Cancellation after this date wil
 l not be reimbursed. \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 working days
 .\n\n# Venue and Time\nThis course will be streamed using Zoom.\n\nThe cou
 rse will start at 9:00 and end around 17:00 CET.\n\nPrecise information wi
 ll be provided to the participants in due time.\n\n#  Additional informati
 on\nCoordination: Valeria Di Cola\, SIB Training Group.\n\nA **Certificate
  of Attendance** will be sent provided you were present at the course\, wh
 ereas a **Certificate of Achievement** recommending 0.25 ECTS will be sent
  provided you passed the exam. \n\nYou are welcome to register to the SIB 
 courses mailing list to be informed of all future courses and workshops\, 
 as well as all important deadlines using the form [here](https://lists.sib
 .swiss/postorius/lists/courses.lists.sib.swiss/).\n\nPlease note that part
 icipation in SIB courses is subject to our [general conditions](https://ww
 w.sib.swiss/training/terms-and-conditions).\n\nSIB abides by the [ELIXIR C
 ode of Conduct](https://elixir-europe.org/events/code-of-conduct). Partici
 pants of SIB courses are also required to abide by the same code.\n\nFor m
 ore information\, please contact [training@sib.swiss](mailto://training@si
 b.swiss).
SUMMARY:Data Analysis and Representation in Python
URL;VALUE=URI:https://www.sib.swiss/training/course/20260414_DARPY
END:VEVENT
END:VCALENDAR