Data Analysis 2021-2022

Please note: All modules are scheduled to take place live on campus. However, should safety restrictions issued by UGent due to the corona crisis make on campus classes impossible, if possible the course will instead be taught online.
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Modules:
- Module 1 - Getting Started with R Software for Data Analysis
- Module 2 - Drawing Conclusions from Data: an Introduction
  (Previous title: Introductory Statistics. Basics of Statistical Inference)
- Module 3 - Single Cell Seq Data Analysis Boot Camp
- Module 4 - Getting Started with Python for Data Scientists (Course full)
- Module 5 - Exploiting Sources of Variation in your Data: the ANOVA Approach
- Module 6 - Leverage your R Skills: Data Wrangling & Plotting with Tidyverse (Online only)
- Module 7 - Identifying Latent Data Structures: Structural Equation Modelling: Part I + Part II (Part I: Online only)
- Module 8 - High Dimensional Data Analysis (Online)
- Module 9 - Getting Started with NVivo for Qualitative Data Analysis (Online only)
- Module 10 - Dynamic Report Generation with R Markdown (Cancelled)
- Module 11 - From Prior Belief to Data Driven Evidence: Bayesian Data Analysis in Action
- Module 12 - Explaining and Predicting Outcomes with Linear Regression
- Module 13 - Upgrade your Python Skills: Data Wrangling & Plotting
- Module 14 - Microbiome Data Analysis Boot Camp
- Module 15 - Mastering R Skills: Selected Topics for Successful Programming
- Module 16 - From Language to Information: Natural Language Processing
- Module 17 - Building Interactive Apps with Shiny© in R
- Module 18 - Artificial Neural Networks: from the Ground Up
- Module 19 - Machine Learning with Python