SciLux

Season 3 - Episode 8 - Statistics and Data Science

January 17, 2023 Hanna Siemaszko Season 3 Episode 8
SciLux
Season 3 - Episode 8 - Statistics and Data Science
Show Notes Chapter Markers

For the second episode of this year and eighth episode of this season we had a pleasure to talk to prof. Christophe Ley from the University of Luxembourg. Christoph told us a lot about statistics and how important it is in our lives - sport lives included. We also looked how closely related statistics and data science are. Could it be that data science is just statistics 2.0? Listen to find out!

USEFUL LINKS

What makes data science different by Prof. Christophe Ley and Prof. Stéphane Bordas: https://orbilu.uni.lu/bitstream/10993/30235/1/BL17_final.pdf
Science Meets Sports - When Statistics Are More Than Numbers by Prof. Christophe Ley: https://books.google.lu/books/about/Science_Meets_Sports.html?id=yzbczQEACAAJ&redir_esc=y
Christophe Ley's publications: https://scholar.google.com/citations?user=fYZTyFEAAAAJ&hl=en
Cellule scientifique in Luxembourg: https://www.chd.lu/en/cellule-scientifique
Powerchair hockey: https://www.youtube.com/watch?v=NzhyxcjKPx8

Statistics and data science
Why does statistics get bad press?
Can you really twist the data?
Origins of statistics
Quantifying uncertainty
Maths, logical reasoning and job opportunities
Applied vs. theoretical statistics
Switching to applied statistics
Speaking the language of researchers in other fields
Meaning of robust in engineering and statistics
Scientists talking to politicians
Cellule scientifique in Luxembourg
Statistics in Luxembourgish
Statistics in the world of sports
Wheelchair basketball and powerchair hockey
Statistics and injury prevention
Betting
Can you quantify psychology?
Stereotypes: statistician vs. data scientist
Christophe's typical day
Table tennis
Coming back to University of Luxembourg
Other research done by Christophe?
Wind energy in India
Protein structure prediction problem
Statistics at the hospital
Do statisticians clean data and do they do data visualisation?
Correlation vs. causation
Ability to read data
Machine learning