The Basic Statistics in R training course\, org anised by the Flanders Institute for Biotechnology (VIB)\, will take place online across four sessions on 15\, 22\, and 29 January and 5 February 20 26. This introductory course is designed to familiarise participants with the R and RStudio environments\, covering key tasks such as data importing \, formatting\, visualisation\, and statistical analysis. Through a blend of e-learning materials and live sessions\, attendees will gain hands-on e xperience using real-life datasets while learning to apply t-tests\, ANOVA \, and non-parametric tests.
This course is particularly suited for students\, researchers\, and profe ssionals with no prior experience in R who are looking to build basic prog ramming and data analysis skills for their academic or professional work.< /p> X-MICROSOFT-CDO-ALLDAYEVENT:TRUE DTSTAMP:20260514T015230Z END:VEVENT BEGIN:VEVENT UID:6a052adec76ed DTSTART;VALUE=DATE:20260122 SEQUENCE:0 TRANSP:OPAQUE DTEND;VALUE=DATE:20260123 SUMMARY:Basic statistics in R CLASS:PUBLIC DESCRIPTION:The Basic Statistics in R training course\, organised by the Fl anders Institute for Biotechnology (VIB)\, will take place online across f our sessions on 15\, 22\, and 29 January and 5 February 2026. This introdu ctory course is designed to familiarise participants with the R and RStudi o environments\, covering key tasks such as data importing\, formatting\, visualisation\, and statistical analysis. Through a blend of e-learning ma terials and live sessions\, attendees will gain hands-on experience using real-life datasets while learning to apply t-tests\, ANOVA\, and non-param etric tests.Target audience \;This course is particularly suited for s tudents\, researchers\, and professionals with no prior experience in R wh o are looking to build basic programming and data analysis skills for thei r academic or professional work. X-ALT-DESC;FMTTYPE=text/html:
The Basic Statistics in R training course\, org anised by the Flanders Institute for Biotechnology (VIB)\, will take place online across four sessions on 15\, 22\, and 29 January and 5 February 20 26. This introductory course is designed to familiarise participants with the R and RStudio environments\, covering key tasks such as data importing \, formatting\, visualisation\, and statistical analysis. Through a blend of e-learning materials and live sessions\, attendees will gain hands-on e xperience using real-life datasets while learning to apply t-tests\, ANOVA \, and non-parametric tests.
This course is particularly suited for students\, researchers\, and profe ssionals with no prior experience in R who are looking to build basic prog ramming and data analysis skills for their academic or professional work.< /p> X-MICROSOFT-CDO-ALLDAYEVENT:TRUE DTSTAMP:20260514T015230Z END:VEVENT BEGIN:VEVENT UID:6a052adec76f8 DTSTART:20260129T080000Z SEQUENCE:0 TRANSP:OPAQUE DTEND:20260129T110000Z SUMMARY:Basic statistics in R CLASS:PUBLIC DESCRIPTION:The Basic Statistics in R training course\, organised by the Fl anders Institute for Biotechnology (VIB)\, will take place online across f our sessions on 15\, 22\, and 29 January and 5 February 2026. This introdu ctory course is designed to familiarise participants with the R and RStudi o environments\, covering key tasks such as data importing\, formatting\, visualisation\, and statistical analysis. Through a blend of e-learning ma terials and live sessions\, attendees will gain hands-on experience using real-life datasets while learning to apply t-tests\, ANOVA\, and non-param etric tests.Target audience \;This course is particularly suited for s tudents\, researchers\, and professionals with no prior experience in R wh o are looking to build basic programming and data analysis skills for thei r academic or professional work. X-ALT-DESC;FMTTYPE=text/html:
The Basic Statistics in R training course\, org anised by the Flanders Institute for Biotechnology (VIB)\, will take place online across four sessions on 15\, 22\, and 29 January and 5 February 20 26. This introductory course is designed to familiarise participants with the R and RStudio environments\, covering key tasks such as data importing \, formatting\, visualisation\, and statistical analysis. Through a blend of e-learning materials and live sessions\, attendees will gain hands-on e xperience using real-life datasets while learning to apply t-tests\, ANOVA \, and non-parametric tests.
This course is particularly suited for students\, researchers\, and profe ssionals with no prior experience in R who are looking to build basic prog ramming and data analysis skills for their academic or professional work.< /p> DTSTAMP:20260514T015230Z END:VEVENT BEGIN:VEVENT UID:6a052adec7701 DTSTART:20260205T080000Z SEQUENCE:0 TRANSP:OPAQUE DTEND:20260205T110000Z SUMMARY:Basic statistics in R CLASS:PUBLIC DESCRIPTION:The Basic Statistics in R training course\, organised by the Fl anders Institute for Biotechnology (VIB)\, will take place online across f our sessions on 15\, 22\, and 29 January and 5 February 2026. This introdu ctory course is designed to familiarise participants with the R and RStudi o environments\, covering key tasks such as data importing\, formatting\, visualisation\, and statistical analysis. Through a blend of e-learning ma terials and live sessions\, attendees will gain hands-on experience using real-life datasets while learning to apply t-tests\, ANOVA\, and non-param etric tests.Target audience \;This course is particularly suited for s tudents\, researchers\, and professionals with no prior experience in R wh o are looking to build basic programming and data analysis skills for thei r academic or professional work. X-ALT-DESC;FMTTYPE=text/html:
The Basic Statistics in R training course\, org anised by the Flanders Institute for Biotechnology (VIB)\, will take place online across four sessions on 15\, 22\, and 29 January and 5 February 20 26. This introductory course is designed to familiarise participants with the R and RStudio environments\, covering key tasks such as data importing \, formatting\, visualisation\, and statistical analysis. Through a blend of e-learning materials and live sessions\, attendees will gain hands-on e xperience using real-life datasets while learning to apply t-tests\, ANOVA \, and non-parametric tests.
This course is particularly suited for students\, researchers\, and profe ssionals with no prior experience in R who are looking to build basic prog ramming and data analysis skills for their academic or professional work.< /p> DTSTAMP:20260514T015230Z END:VEVENT END:VCALENDAR