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Data Analysis 2022-2023
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Programme
Design and Analysis of Clinical Trials
Getting Started with R Software for Data Analysis
Drawing Conclusions from Data: an Introduction
Getting Started with Python for Data Scientists
Exploiting Sources of Variation in your Data: the ANOVA Approach
Getting Started with NVivo for Qualitative Data Analysis
Dynamic Report Generation with R Markdown
Explaining and Predicting Outcomes with Linear Regression
Multilevel Analysis for Grouped and Longitudinal Data
Mastering R Skills: Selected Topics for Successful Programming
Multilevel Analysis for Grouped and Longitudinal Data
Building Interactive Apps with Shiny© in R
Artificial Neural Networks: from the Ground Up
Machine Learning with Python