BDSi - Behavioural Data Science incubator

Python for Data Science

, 

and 

Karel Kroeze

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

Introduction to R

, 

and 

Robert Marinescu Muster

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

Data science for the behavioural sciences

Anna Machens

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

Causality and causal inference from observational data

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

Applied Statistical Learning Book Club

Karin Groothuis-Oudshoorn

, 

Stéphanie van den Berg

, 

Karel Kroeze

, 

and 

Anna Machens

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

BDSi Data Science Week

Anna Machens

, 

Karel Kroeze

, 

Karin Groothuis-Oudshoorn

, 

and 

Stéphanie van den Berg

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

Causal Inference Paper Club

Anna Machens

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

Shiny - Interactive visualizations in R

Karel Kroeze

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

Analysis of time-intensive longitudinal data

Stéphanie van den Berg

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

Tidy Data Wrangling

Karel Kroeze

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

#beginner

#r

#tidyverse

#data wrangling

Introduction to Machine Learning

Anna Machens

A short introduction to the basics of machine learning.

#beginner

#r

#machine learning

Introduction to Data Visualization

Karel Kroeze

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

#beginner

#r

#visualization

Introduction to Data Visualization

Karel Kroeze

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

#beginner

#r

#visualization

Introduction to Machine Learning

Anna Machens

A short introduction to the basics of machine learning.

#beginner

#r

#machine learning

Tidy Data Wrangling

Karel Kroeze

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

#beginner

#r

#tidyverse

#data wrangling

Data Science Week: Retake

Anna Machens

, 

and 

Karel Kroeze

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

Data Science Week - Summer 2022

Anna Machens

, 

and 

Karel Kroeze

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

Introduction to Data Visualization

Karel Kroeze

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

#beginner

#r

#visualization

Introduction to Machine Learning

Anna Machens

A short introduction to the basics of machine learning.

#beginner

#r

#machine learning

Tidy Data Wrangling

Karel Kroeze

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

#beginner

#r

#tidyverse

#data wrangling

ChatGPT: chances and challenges in education

Anna Machens

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

Data Science Week - Spring 2023

Anna Machens

, 

and 

Karel Kroeze

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

Introduction to Data Visualization

Karel Kroeze

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

#beginner

#r

#visualization

Introduction to Machine Learning

Anna Machens

A short introduction to the basics of machine learning.

#beginner

#r

#machine learning

Tidy Data Wrangling

Karel Kroeze

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

#beginner

#r

#tidyverse

#data wrangling

Data Science Week - Summer 2023

Anna Machens

, 

and 

Karel Kroeze

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

Introduction to Data Visualization

Karel Kroeze

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

#beginner

#r

#visualization

Introduction to Machine Learning

Anna Machens

A short introduction to the basics of machine learning.

#beginner

#r

#machine learning

Tidy Data Wrangling

Karel Kroeze

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

#beginner

#r

#tidyverse

#data wrangling

Events

Workshops, Seminars, and other events

Upcoming events

Past events

debug

Anna Machens

,

and

Karel Kroeze

#beginner

#intermediate

#python

#data wrangling

#linear methods

#visualization

Martin Schmettow

,

Stéphanie van den Berg

,

Karel Kroeze

,

and

Robert Marinescu Muster

#beginner

#intermediate

#r

#data wrangling

#linear methods

#visualization

Anna Machens

Anna Machens

#causality

#causal networks

#observational data

Karin Groothuis-Oudshoorn

,

Stéphanie van den Berg

,

Karel Kroeze

,

and

Anna Machens

#beginner

#intermediate

#expert

#r

#python

#statistical learning

#machine learning

Anna Machens

,

Karel Kroeze

,

Karin Groothuis-Oudshoorn

,

and

Stéphanie van den Berg

#beginner

#r

#python

#visualization

#statistical learning

#machine learning

Anna Machens

#reading club

#causality

#causal networks

#observational data

Karel Kroeze

#workshop

#r

#shiny

#interactive visualizations

#reactive programming

#visualizations

#research

#education

#interactive documents

#interactive reports

Stéphanie van den Berg

, 

and 

, 

, 

, 

and 

, 

, 

, 

and 

, 

, 

, 

and 

, 

and 