BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260616T210427Z
UID:fb2b0626-d627-4256-aa63-7f12b491b5f1
DTSTART:20230620T090000Z
DTEND:20230621T170000Z
DESCRIPTION:**May 11\, 2023: This course\, initially announced as taking pl
 ace in Basel\, will be live-streamed only.**\n\n# Overview\nStatistics are
  an integral aspect of scientific research\, particularly for the life sci
 ences which rely heavily on quantitative methodologies. This course is des
 igned to provide researchers in the life sciences with an introduction to 
 statistics and statistical concepts and their application to a variety of 
 biological problems.\n\nThe course will combine lectures on statistics\, s
 hort tutorials and practical exercises on the topics discussed in the clas
 s. These practical exercises will be implemented in the widely used Python
  language and environment for statistical computing and graphics.\n\nTopic
 s covered during the course include: \n* Data manipulation\, summarization
  and plotting : reminder/intro to data manipulation in Python\n* Hypothesi
 s testing : when to use it and how?\n* Correlation and regression analysis
 \n\n# Audience\nThis course is intended for life scientists from all level
 s and disciplines who are not experts in statistics. \n\nAlthough we will 
 provide materials and a reminder on data manipulation in Python\, particip
 ants must be comfortable with the Python environment and be able to read\,
  understand and write basic Python commands before attending this course.\
 n\n# Learning objectives\nAt the end of the course\, participants should b
 e able to :\n* explore their data\, choose the right method to summarize i
 t\, graphically and numerically.\n* perform appropriate basic hypothesis t
 ests on a data set.\n* appraise the results and limitations of these tests
 \, their underlying hypotheses\, and multiple testing issues.\n* assess an
 d describe the link between different variables\, using correlation and re
 gression analysis.\n\n# Prerequisites\n##### Knowledge / competencies\n* N
 o prior statistical knowledge is required in order to attend the course\n*
  Completion of a basic/introductory course on Python \n\nBefore registerin
 g\, you may [test your Python skills](https://forms.gle/oZxMeopsmpxst76g9)
  this quiz. \nWe recommend a score of at least 3/5 in order to benefit fro
 m the course.\n\n##### Technical\n\nYou are required to have your own lapt
 op. Software to be installed PRIOR to the course:\n* latest python3 distri
 bution\, preferably bundled using [conda](https://docs.continuum.io/anacon
 da/install/)\n* [jupyter](https://jupyter.org/install)\n\nPython libraries
  to be installed (we recommend the usage of conda for the installation):\n
 * [scipy](https://www.scipy.org/install.html) library (NB: if you installe
 d conda\, then this library is already installed)\n* [statsmodels](https:/
 /www.statsmodels.org/stable/install.html)\n* [pandas](https://pandas.pydat
 a.org/docs/getting_started/index.html)\n* [seaborn](https://seaborn.pydata
 .org/installing.html)\n* [scikit-learn](https://scikit-learn.org/stable/in
 stall.html)\n\n\n# Application\nThe registration fees for academics are **
 200 CHF** and **1000 CHF** for for-profit companies.\n\nWhile participants
  are registered on a first come\, first serve basis\, exceptions may be ma
 de to ensure diversity and equity.\n\nYou will be informed by email of you
 r registration confirmation. Upon reception of the confirmation email\, pa
 rticipants will be asked to confirm attendance by paying the fees within 5
  days.\n\nDeadline for free-of-charge cancellation is set to **13/06/2023*
 *. Cancellation after this date will not be reimbursed. Please note that p
 articipation in SIB courses is subject to our [general conditions](https:/
 /www.sib.swiss/training/terms-and-conditions).\n\n# Venue and Time\nThis c
 ourse will be streamed. \n\nThe course will start at 9:00 CET and end arou
 nd 17:00 CET. Precise information will be provided to the participants in 
 due time.\n\n\n#  Additional information\nCoordination: Monique Zahn\, SIB
  Training Group.\n\nWe will recommend 0.5 ECTS credits for this course (gi
 ven a passed exam at the end of the course).\n\nYou are welcome to registe
 r 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](http
 s://lists.sib.swiss/mailman/listinfo/courses).\n\nPlease note that partici
 pation in SIB courses is subject to our [general conditions](https://www.s
 ib.swiss/training/terms-and-conditions).\n\nSIB abides by the [ELIXIR Code
  of Conduct](https://elixir-europe.org/events/code-of-conduct). Participan
 ts of SIB courses are also required to abide by the same code.\n\nFor more
  information\, please contact [training@sib.swiss](mailto://training@sib.s
 wiss).
SUMMARY:Introduction to Statistics with Python
URL;VALUE=URI:https://www.sib.swiss/training/course/20230620_STATP
END:VEVENT
END:VCALENDAR