“It’s easy to lie with statistics. It’s hard to tell the truth without statistics.”
Andrejs Dunkels
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Today, after 1 year of trainings and tutoring sessions, I am so happy to receive the Fundamentals of University Teaching and Tutoring certificate granted by MOE & University of Groningen (NL). #tutoring #mastersofdidactics #universityofgroningen
Certified tutor! 🥸🎉 #tutoring
18 stycznia 2023, godz 17:00 w sali 211 kontynuujemy serię spotkań "Python od 0". Spotkanie poprowadzi Dawid, IT Tutor i członek naszego koła. Pamiętajcie żeby zabrać ze sobą komputer! https://www.facebook.com/events/693447622484266
11 stycznia 2023 o godz 17:00 Data Science Club kontynuuje nową serię spotkań "Python od 0", na której dowiecie się czym jest programowanie i jak wykorzystywać je do przetwarzania danych. Spotkanie poprowadzi Dawid, IT Tutor i członek naszego koła.
https://www.facebook.com/events/895518434782031
14 grudnia 2022, godz 17:00 Data Science Club rozpoczyna nową serię spotkań "Python od 0", dowiecie się czym jest programowanie i jak wykorzystywać je do przetwarzania danych. https://www.facebook.com/events/s/python-od-0-1/1313655842782726/
I am very proud and touched to receive two first degree awards from the Rector of our Gdansk University of Technology! 🎉🎉🎉#gdansktech #gdanskuniversityoftechnology
18:00 Nov 24th, 2022, Thursday, Data Science Club has the pleasure of hosting Chief Data Scientist at Genesys - Maciej Dąbrowski, Ph.D.
The talk will present a number of topics that are critical to building successful products that use AI 🤖
👉 Webinar: http://shorturl.at/iMPR1
18:00 November 15, 2022
This Tuesday Data Science Club will have the pleasure to host Olgun Aydın Ph.D. who will talk about developing Machine Learning models using AWS SageMaker!
👉 Date: November 15
👉 Time: 18:00
👉 Link: https://facebook.com/events/s/machine-learning-using-sagemak/436705985292671/
Hej! Zapraszamy wszystkich na otwarte spotkanie inauguracyjne 2022/23 koła: 10 listopada, czwartek, sala 009 (parter WZiE, za szatnią). Będzie dużo o naszej działalności, nie tylko bieżącej! No i pizza 🍕
Today's #rstats cheatsheet: gtsummary
Download: https://raw.githubusercontent.com/rstudio/cheatsheets/master/gtsummary.pdf
See more: https://www.rstudio.com/resources/cheatsheets/
Contribute your own: https://github.com/rstudio/cheatsheets
Our manuscript "Tools and Recommendations for Reproducible Teaching" is now accepted for publication @JStatEd.
w/ @minebocek
Tools and Recommendations for Reproducible Teaching
It is recommended that teacher-scholars of data science adopt reproducible workflows in their research as scholars and...
www.tandfonline.com
@hadleywickham @zentree One advantage of within() is that new variables can be re-used immediately. This works:
data.frame(x = 1:3, y = 4:6) |> within({
xysum = x + y
xymean = xysum/2
})
while this fails:
data.frame(x = 1:3, y = 4:6) |> transform(
xysum = x + y,
xymean = xysum/2,
)
Difference between R and Python {} #rstats #DataScience
Difference between R and Python
The post Difference between R and Python appeared first on Data Science Tutorials What do you have to lose?. Che...
www.r-bloggers.com
12 pazdziernika 2022 godz. 17:00 firma Kainos organizuje warsztaty dla członków naszego koła🙂"Kainos AI and Data Practice". Agenda: Model explainability, Unsupervised Computer Vision.
Link do szkolenia na naszych kanałach Discord. Do zobaczenia!
https://youtu.be/QckxhzGjxds?t=3358
8. Konferencja "e-Technologie w Kształceniu Inżynierów" organizowanej przez Politechnika Gdańska i Akademia Górniczo-Hutnicza w Krakowie za nami🔥 Opowiadałem o interaktywnym podręczniku opartym o R-Bookdown. #etee #agh #pg #bookdown #r
Today's #rstats cheatsheet: eurostat
Download: https://raw.githubusercontent.com/rstudio/cheatsheets/master/eurostat.pdf
See more: https://www.rstudio.com/resources/cheatsheets/
Contribute your own: https://github.com/rstudio/cheatsheets
How & When to Do which Statistical Hypothesis Testing with Python👇🏻
https://towardsdatascience.com/statistical-hypothesis-testing-with-python-6a2f38c12486
This blog defines nice examples on essential concepts of statistics by python such as the null/alternative hypothesis, significance level, p-values. #python #Statistics
Quarto is the next generation of R Markdown and has been rebuilt from the ground up to support more languages and environments! Here you can watch the recording of the Quarto workshop: https://youtu.be/yvi5uXQMvu4
So many opportunities with ggplot layers!
Do you teach #rstats? Wish you could plot your data's mean and other summary statistics without computing outside of ggplot2 layers?
@EvaMaeRey shares the {ggxmean} package: Use geom_*s that show basic statistical concepts in ggplot2!
Post & examples: http://www.rstudio.com/blog/new-statistical-geoms-in-ggxmean/