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  • - Select -
  • Causality in qualitative research - basic 7h
  • Essentials of Qualitative Research Design - basic 13h
  • Theory Construction in Qualitative Research - basic 7h
  • Quality assessment and reporting guidelines in qualitative research - basic 6h
  • Process and evaluation studies - 7h
  • Performing Interviews - basic 6h
  • Creative with interviews - advanced 6h
  • Performing Focus Groups - basic 6h
  • Ethnography and observational methods - basic 6h
  • Photovoice - basic 12h
  • Digital Ethnography - basic 7h
  • Critical Discourse Analysis - basic 6h
  • Introduction to NVivo - basic 12h
  • Thematic analysis - basic 6h
  • Strategies in qualitative data-analysis from a Grounded Theory perspective - basic 7h
  • Interpretative Phenomenological analysis - basic 6h
  • Using NVivo for qualitative data analysis - basic 14h
  • Using AI in qualitative research - advanced 7h
  • Writing qualitative research papers for publication in academic journals - basic 6h
  • Writing up your findings the principles of getting your work published - basic 6h
  • Introduction to MAXQDA - 7h
  • Participatory research - 6h
  • Futures studies approaches - 6h
  • Global consortium on Arts-based Research - 8h
  • Data Management in SQL - 6h
  • Software development in Python for data science - 4h
  • Introduction to Python for data science - 8h
  • Unsupervised Learning in Python - 4h
  • Natural Language Processing with Python - 12h
  • Data wrangling in Python - 12h
  • Supervised Learning methods in Python - 12h
  • Dimensionality Reduction Methods - 4h
  • Machine Learning and Practical Applications - 12h
  • Ethnics and Fairness in AI - 6h
  • Dashboarding with Shiny for Python - 12h
  • Web scraping in Python - 4h
  • Interpretability and explanability in AI - 6h
  • Reinforcement learning - 4h
  • Markov Chain Models - 6h
  • MLOps in practice Containarisation with Docker and Kubernetes - 4h
  • MLOps in practice Cloud computing - 6h
  • State-of-the-art deep learning for AI Transformers - 6h
  • Exploratory Data Analysis in R - 9h
  • Design and Analysis of Observational Studies - 20h
  • Graphics in R - 12h
  • Statistical Modelling using R - 20h
  • Introduction to the concepts of quantitative research - 3h
  • Introduction to Graphics using R - 12h
  • Power and sample size analysis - 12h
  • Introduction to Categorical Data Analysis with R - 15h
  • Introduction to social network analysis - 16h
  • Handling spatial data in R manipulation and making maps - 9h
  • Introduction to survey data analysis - 12h
  • Introduction to survival analysis in R - 8h
  • Linear mixed-models - 8h
  • Advanced topics in survival analysis using R - 16h
  • Missing Data Methods - 24h
  • Structural Equation Modeling - SEM 20h
  • Discrete Choice Experiments - 6h
  • Introduction to R - 20h
  • Introduction to R and tidyverse - 20h
  • Data wrangling, tidying and visualization with R tidyverse - 8h
  • Customizing reports with Quarto - 4h
  • Workshop Practicing wrangling and visualization in R- visualizations with statistical details - 3h
  • Introduction to Python for statistical data analysis - 20h
  • Workshop Practicing wrangling and visualization in R - specific topic TBD - 3h
  • Write your own R package - 3h
  • SPSS for beginners - 16h
  • Developing interview questions and basic interview - 6h
  • - Select -
  • Academic
  • Non-profit/social sector
  • Private sector

Please fill in "1" in the amount field below to pay for one course registration.