BDSi - Behavioural Data Science incubator

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

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

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 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

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

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

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

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

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

Women in Data Science Twente

Martina Ivich Jijon

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

#women

#beginner

#r

#python

#visualization

#statistical learning

#machine learning

#explainable ai

, 

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

Tidy Data Wrangling

Karel Kroeze

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

Events

Workshops, Seminars, and other events

Upcoming events

Past events

debug

Anna Machens

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

Karel Kroeze

#beginner

#r

#tidyverse

#data wrangling

Anna Machens

#beginner

#r

#machine learning

Karel Kroeze

#beginner

#r

#visualization

Anna Machens

#causality

#causal networks

#observational data

Anna Machens

,

and

Karel Kroeze

#beginner

#r

#python

#visualization

#statistical learning

#machine learning

Karel Kroeze

#beginner

#r

#tidyverse

#data wrangling

Karel Kroeze

#beginner

#r

#visualization

Anna Machens

#beginner

#r

#machine learning

Anna Machens

#reading club

#causality

#causal networks

#observational data

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