Learning opportunities

From webinars to advanced workshops, we offer a variety of educational offerings that provide the skills necessary to succeed in the ever-evolving world of data science.

WiNoDa Webinar Series

Our online webinar series on the following data science topics took place from October to December 2024: 

  • Introduction to Data Science
  • Machine Learning (introduction and hands-on session)
  • Deep Learning (introduction and hands-on session)
  • Data visualization with Python

You can find the recordings of the webinar series under the following link (redirect to YouTube):

WEBINAR SERIES DATA SCIENCE

More Learning Modules

WiNoDa offers a comprehensive range of learning events, including workshops, lectures, summer schools, discussion groups and more. These modules will be offered both on-site at the Museum für Naturkunde Berlin (MfN) and online. Most of the events will be available in English.

In the future, self-study courses will be available on the planned learning platform for independent learning.

The content will cover a wide range of topics relating to research on and with objects in museums and collections. The entire data cycle takes centre stage: from planning and data acquisition to archiving and communicating the results to the public.

  • Research data management
  • Data management plans
  • Research data policies
  • Open data
  • Data quality
  • Data types and formats
  • Data security
  • Relevant infrastructuresData storage and backups
  • Collecting data in the field
  • Geoinformation systems (GIS)
  • DNA sequencing
  • Object digitisation
  • Phylogenetic analyses
  • Data refinement
  • Statistics
  • Data visualisation
  • Datenanalysis
  • Open Source Softwares
  • Machine Learning
  • Deep Learning
  • Automatic analysis and processing of image and text material
  • Preparation and conservation
  • Metadata and standards
  • Persistent identifiers
  • Ontologies and controlled vocabularies
  • Publication channels for data
  • Repositories
  • Data ethics and law
  • General legal aspects
  • Data protection
  • Good scientific practice
  • NAGOYA guidelines
  • CARE principles
  • Open Science
  • Public engagement plans for research projects 
  • Advanced techniques for measuring the impact of public engagement
  • Storytelling for researchers
  • Data ethics and hostility in science
  • Personal branding and expert communication

Audience

Our learning programmes are developd for people with different levels of experience – students, experienced experts or people outside the research community. Each module is designed that everyone, regardless of background, can benefit from our programmes.

Upon completion of certain modules, participants can receive certificates of attendance or certificates to recognise their achievements.

WiNoDa also promotes the development of a community in which members can exchange ideas and network. You can find more information here:

COMMUNITY
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