BEGIN:VCALENDAR VERSION:2.0 PRODID:www.eu-parc.eu BEGIN:VEVENT UID:69f3b010b0e32 DTSTART:20260126T080000Z SEQUENCE:0 TRANSP:OPAQUE DTEND:20260126T160000Z SUMMARY:Introduction to Statistics and Data Visualisation with R CLASS:PUBLIC DESCRIPTION:The Introduction to Statistics and Data Visualisation with R co urse will be held from 26 to 29 January 2026 at the University of Lausanne \, Switzerland. This four-day\, in-person training is designed to provide researchers in the biomedical sciences with hands-on experience in applyin g core statistical techniques using the R programming language. Through a combination of lectures and practical exercises\, participants will learn how to interpret and visualise data\, apply key statistical tests\, and ex plore more advanced methods relevant to real-world biological datasets.Top ics include numerical and graphical summaries\, hypothesis testing\, multi ple testing correction\, linear models\, correlation and regression analys is\, as well as dimensionality reduction techniques such as principal comp onent analysis\, heatmaps\, and introductory clustering algorithms. Partic ipants will also have the opportunity to bring and discuss their own datas ets for tailored guidance.Target audienceThis course is particularly suite d for biologists and biomedical researchers who are required to perform st atistical analyses using R. No advanced statistical background is required \, but basic familiarity with R is recommended. \; X-ALT-DESC;FMTTYPE=text/html:

The Introduction to Statistics and Data Visualisatio n with R course will be held from 26 to 29 January 2026 at the Univer sity of Lausanne\, Switzerland. This four-day\, in-person training is desi gned to provide researchers in the biomedical sciences with hands-on exper ience in applying core statistical techniques using the R programming lang uage. Through a combination of lectures and practical exercises\, particip ants will learn how to interpret and visualise data\, apply key statistica l tests\, and explore more advanced methods relevant to real-world biologi cal datasets.

Topics include num erical and graphical summaries\, hypothesis testing\, multiple testing cor rection\, linear models\, correlation and regression analysis\, as well as dimensionality reduction techniques such as principal component analysis\ , heatmaps\, and introductory clustering algorithms. Participants will als o have the opportunity to bring and discuss their own datasets for tailore d guidance.

Target audie nce
This course is particularly suited for biologists and biom edical researchers who are required to perform statistical analyses using R. No advanced statistical background is required\, but basic familiarity with R is recommended. \;

DTSTAMP:20260430T194000Z END:VEVENT BEGIN:VEVENT UID:69f3b010b0e5d DTSTART:20260127T080000Z SEQUENCE:0 TRANSP:OPAQUE DTEND:20260127T160000Z SUMMARY:Introduction to Statistics and Data Visualisation with R CLASS:PUBLIC DESCRIPTION:The Introduction to Statistics and Data Visualisation with R co urse will be held from 26 to 29 January 2026 at the University of Lausanne \, Switzerland. This four-day\, in-person training is designed to provide researchers in the biomedical sciences with hands-on experience in applyin g core statistical techniques using the R programming language. Through a combination of lectures and practical exercises\, participants will learn how to interpret and visualise data\, apply key statistical tests\, and ex plore more advanced methods relevant to real-world biological datasets.Top ics include numerical and graphical summaries\, hypothesis testing\, multi ple testing correction\, linear models\, correlation and regression analys is\, as well as dimensionality reduction techniques such as principal comp onent analysis\, heatmaps\, and introductory clustering algorithms. Partic ipants will also have the opportunity to bring and discuss their own datas ets for tailored guidance.Target audienceThis course is particularly suite d for biologists and biomedical researchers who are required to perform st atistical analyses using R. No advanced statistical background is required \, but basic familiarity with R is recommended. \; X-ALT-DESC;FMTTYPE=text/html:

The Introduction to Statistics and Data Visualisatio n with R course will be held from 26 to 29 January 2026 at the Univer sity of Lausanne\, Switzerland. This four-day\, in-person training is desi gned to provide researchers in the biomedical sciences with hands-on exper ience in applying core statistical techniques using the R programming lang uage. Through a combination of lectures and practical exercises\, particip ants will learn how to interpret and visualise data\, apply key statistica l tests\, and explore more advanced methods relevant to real-world biologi cal datasets.

Topics include num erical and graphical summaries\, hypothesis testing\, multiple testing cor rection\, linear models\, correlation and regression analysis\, as well as dimensionality reduction techniques such as principal component analysis\ , heatmaps\, and introductory clustering algorithms. Participants will als o have the opportunity to bring and discuss their own datasets for tailore d guidance.

Target audie nce
This course is particularly suited for biologists and biom edical researchers who are required to perform statistical analyses using R. No advanced statistical background is required\, but basic familiarity with R is recommended. \;

DTSTAMP:20260430T194000Z END:VEVENT BEGIN:VEVENT UID:69f3b010b0e6e DTSTART:20260128T080000Z SEQUENCE:0 TRANSP:OPAQUE DTEND:20260128T160000Z SUMMARY:Introduction to Statistics and Data Visualisation with R CLASS:PUBLIC DESCRIPTION:The Introduction to Statistics and Data Visualisation with R co urse will be held from 26 to 29 January 2026 at the University of Lausanne \, Switzerland. This four-day\, in-person training is designed to provide researchers in the biomedical sciences with hands-on experience in applyin g core statistical techniques using the R programming language. Through a combination of lectures and practical exercises\, participants will learn how to interpret and visualise data\, apply key statistical tests\, and ex plore more advanced methods relevant to real-world biological datasets.Top ics include numerical and graphical summaries\, hypothesis testing\, multi ple testing correction\, linear models\, correlation and regression analys is\, as well as dimensionality reduction techniques such as principal comp onent analysis\, heatmaps\, and introductory clustering algorithms. Partic ipants will also have the opportunity to bring and discuss their own datas ets for tailored guidance.Target audienceThis course is particularly suite d for biologists and biomedical researchers who are required to perform st atistical analyses using R. No advanced statistical background is required \, but basic familiarity with R is recommended. \; X-ALT-DESC;FMTTYPE=text/html:

The Introduction to Statistics and Data Visualisatio n with R course will be held from 26 to 29 January 2026 at the Univer sity of Lausanne\, Switzerland. This four-day\, in-person training is desi gned to provide researchers in the biomedical sciences with hands-on exper ience in applying core statistical techniques using the R programming lang uage. Through a combination of lectures and practical exercises\, particip ants will learn how to interpret and visualise data\, apply key statistica l tests\, and explore more advanced methods relevant to real-world biologi cal datasets.

Topics include num erical and graphical summaries\, hypothesis testing\, multiple testing cor rection\, linear models\, correlation and regression analysis\, as well as dimensionality reduction techniques such as principal component analysis\ , heatmaps\, and introductory clustering algorithms. Participants will als o have the opportunity to bring and discuss their own datasets for tailore d guidance.

Target audie nce
This course is particularly suited for biologists and biom edical researchers who are required to perform statistical analyses using R. No advanced statistical background is required\, but basic familiarity with R is recommended. \;

DTSTAMP:20260430T194000Z END:VEVENT BEGIN:VEVENT UID:69f3b010b0e7c DTSTART:20260129T080000Z SEQUENCE:0 TRANSP:OPAQUE DTEND:20260129T160000Z SUMMARY:Introduction to Statistics and Data Visualisation with R CLASS:PUBLIC DESCRIPTION:The Introduction to Statistics and Data Visualisation with R co urse will be held from 26 to 29 January 2026 at the University of Lausanne \, Switzerland. This four-day\, in-person training is designed to provide researchers in the biomedical sciences with hands-on experience in applyin g core statistical techniques using the R programming language. Through a combination of lectures and practical exercises\, participants will learn how to interpret and visualise data\, apply key statistical tests\, and ex plore more advanced methods relevant to real-world biological datasets.Top ics include numerical and graphical summaries\, hypothesis testing\, multi ple testing correction\, linear models\, correlation and regression analys is\, as well as dimensionality reduction techniques such as principal comp onent analysis\, heatmaps\, and introductory clustering algorithms. Partic ipants will also have the opportunity to bring and discuss their own datas ets for tailored guidance.Target audienceThis course is particularly suite d for biologists and biomedical researchers who are required to perform st atistical analyses using R. No advanced statistical background is required \, but basic familiarity with R is recommended. \; X-ALT-DESC;FMTTYPE=text/html:

The Introduction to Statistics and Data Visualisatio n with R course will be held from 26 to 29 January 2026 at the Univer sity of Lausanne\, Switzerland. This four-day\, in-person training is desi gned to provide researchers in the biomedical sciences with hands-on exper ience in applying core statistical techniques using the R programming lang uage. Through a combination of lectures and practical exercises\, particip ants will learn how to interpret and visualise data\, apply key statistica l tests\, and explore more advanced methods relevant to real-world biologi cal datasets.

Topics include num erical and graphical summaries\, hypothesis testing\, multiple testing cor rection\, linear models\, correlation and regression analysis\, as well as dimensionality reduction techniques such as principal component analysis\ , heatmaps\, and introductory clustering algorithms. Participants will als o have the opportunity to bring and discuss their own datasets for tailore d guidance.

Target audie nce
This course is particularly suited for biologists and biom edical researchers who are required to perform statistical analyses using R. No advanced statistical background is required\, but basic familiarity with R is recommended. \;

DTSTAMP:20260430T194000Z END:VEVENT END:VCALENDAR