# Events

#### Workshops, Seminars, and other events

## Upcoming events

## Past events

## debug

A one day course to get to grips with the basics of doing analyses in Python; importing, cleaning, modelling and visualizing data.

###### #beginner

###### #intermediate

###### #python

###### #data wrangling

###### #linear methods

###### #visualization

A one day course to get to grips with the basics of doing analyses in R; importing, cleaning, modelling and visualizing data.

###### #beginner

###### #intermediate

###### #r

###### #data wrangling

###### #linear methods

###### #visualization

Advances, advantages and challenges of using data science for the social sciences.

Science is concerned with uncovering causal relationships. This can be done with randomized controlled trials. However, in particular in the social sciences, more often than not only observational data is available, as randomized controlled trials...

###### #causality

###### #causal networks

###### #observational data

Eight one-hour courses on applied statistical learning, from beginner to expert levels with a focus on immediately applying the theory.

###### #beginner

###### #intermediate

###### #expert

###### #r

###### #python

###### #statistical learning

###### #machine learning

An interactive, educational and fun week of data crunching, modelling, (virtual) lunch workshops, and team work open to all BMS students and staff.

###### #beginner

###### #r

###### #python

###### #visualization

###### #statistical learning

###### #machine learning

Following the large interest of our webinars on Causal Inference, BDSi is organizing a paper reading club on Causal Inference.
We want to give a more extended insight into the field by organizing a paper club. Using the materials and reading list...

###### #reading club

###### #causality

###### #causal networks

###### #observational data

A picture says more than a thousand words. But can you have a conversation with a picture? With R and Shiny, you can!
BDSi is organizing a workshop on creating interactive visualizations with R and Shiny. In one afternoon, we’ll quickly introduce...

###### #workshop

###### #r

###### #shiny

###### #interactive visualizations

###### #reactive programming

###### #visualizations

###### #research

###### #education

###### #interactive documents

###### #interactive reports

Data are increasingly collected in a continuous or semi-continuous fashion.
Think of heart rates, blood sugar levels, all sorts of sensor data, wifi tracking, and self-report data.
In collaboration with MST and ZGT hospitals, BDSi will organise tw...

###### #workshop

###### #time-intensive

###### #longitudinal

###### #theory

###### #methods

###### #analysis

###### #r

A one hour introduction to the 'tidy' approach to preparing raw data for analysis.

###### #beginner

###### #r

###### #tidyverse

###### #data wrangling

A short introduction to the basics of machine learning.

###### #beginner

###### #r

###### #machine learning

A forty-five minute tour of creating visualizations in R.

###### #beginner

###### #r

###### #visualization

A forty-five minute tour of creating visualizations in R.

###### #beginner

###### #r

###### #visualization

A short introduction to the basics of machine learning.

###### #beginner

###### #r

###### #machine learning

A one hour introduction to the 'tidy' approach to preparing raw data for analysis.

###### #beginner

###### #r

###### #tidyverse

###### #data wrangling

An interactive, educational and fun week of data crunching, modelling, (virtual) lunch workshops, and team work open to all BMS students and staff.

###### #beginner

###### #r

###### #python

###### #visualization

###### #statistical learning

###### #machine learning

An interactive, educational and fun week of data crunching, modelling, (virtual) lunch workshops, and team work open to all BMS students and staff.

###### #data science week

###### #workshop

###### #beginner

###### #r

###### #python

###### #visualization

###### #statistical learning

###### #machine learning

A forty-five minute tour of creating visualizations in R.

###### #beginner

###### #r

###### #visualization

A short introduction to the basics of machine learning.

###### #beginner

###### #r

###### #machine learning

A one hour introduction to the 'tidy' approach to preparing raw data for analysis.

###### #beginner

###### #r

###### #tidyverse

###### #data wrangling

chatGPT is bringing massive disruption to the sector of education. It can write essays, answer exam questions or write code better than many students or educators, but it can generate misleading information.BDSi organises a short seminar about cha...

###### #panel discussion

###### #chatgpt

###### #ai

###### #education

###### #cheating

An interactive, educational and fun week of data crunching, modelling, (virtual) lunch workshops, and team work open to all BMS students and staff.

###### #data science week

###### #workshop

###### #beginner

###### #r

###### #python

###### #visualization

###### #statistical learning

###### #machine learning

A forty-five minute tour of creating visualizations in R.

###### #beginner

###### #r

###### #visualization

A short introduction to the basics of machine learning.

###### #beginner

###### #r

###### #machine learning

A one hour introduction to the 'tidy' approach to preparing raw data for analysis.

###### #beginner

###### #r

###### #tidyverse

###### #data wrangling

An interactive, educational and fun week of data crunching, modelling, (virtual) lunch workshops, and team work open to all BMS students and staff.

###### #data science week

###### #workshop

###### #beginner

###### #r

###### #python

###### #visualization

###### #statistical learning

###### #machine learning

A forty-five minute tour of creating visualizations in R.

###### #beginner

###### #r

###### #visualization

A short introduction to the basics of machine learning.

###### #beginner

###### #r

###### #machine learning

A one hour introduction to the 'tidy' approach to preparing raw data for analysis.

###### #beginner

###### #r

###### #tidyverse

###### #data wrangling