Data Analysis 2021-2022
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- IMPORTANT for UGent PhD STUDENTS: Conditions and procedure to apply IN TIME for a refund from the Doctoral Schools
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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
- Module 5 - Exploiting Sources of Variation in your Data: the ANOVA Approach
- Module 6 - Leverage your R Skills: Data Wrangling & Plotting with Tidyverse
- Module 7 - Identifying Latent Data Structures: Structural Equation Modelling: Part I + Part II
- Module 8 - High Dimensional Data Analysis
- Module 9 - Getting Started with NVivo for Qualitative Data Analysis
- Module 10 - Dynamic Report Generation with R Markdown
- 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
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