diff --git a/learners/setup.md b/learners/setup.md
index 94574ba1..3c7b1a70 100644
--- a/learners/setup.md
+++ b/learners/setup.md
@@ -12,9 +12,7 @@ Epiverse-TRACE aims to provide a software ecosystem for [**outbreak analytics**]
 
 The tutorials are built around an outbreak analysis pipeline split into three stages: **Early tasks**, **Middle tasks** and **Late tasks**.
 
-<p style="text-align: center;">
 ![An overview of the tutorial topics](https://epiverse-trace.github.io/task_pipeline-minimal.svg)
-</p>
 
 Each task has its tutorial website. Each tutorial website consists of a set of episodes.
 
@@ -35,17 +33,18 @@ Also check out the [glossary](../reference.md) for any terms you may be unfamili
 
 ### Epiverse-TRACE R packages
 
-Our strategy is to gradually incorporate specialised **R packages** into our traditional analysis pipeline. These packages should fill the gaps in these epidemiology-specific tasks in response to outbreaks.
+Our strategy is to gradually incorporate specialised **R packages** into traditional analysis pipeline. These packages should fill the gaps in these epidemiology-specific tasks in response to outbreaks.
 
-![In **R**, the fundamental unit of shareable code is the **package**. A package bundles together code, data, documentation, and tests and is easy to share with others ([Wickham and Bryan, 2023](https://r-pkgs.org/introduction.html))](episodes/fig/pkgs-hexlogos-2.png)
+![In **R**, the fundamental unit of shareable code is the **package**. A package bundles together code, data, documentation, and tests and is easy to share with others ([Wickham and Bryan, 2023](https://r-pkgs.org/introduction.html))](episodes/fig/pkgs-hexlogos-2.png).
 
 :::::::::::::::::::::::::::: prereq
 
 This course assumes intermediate R knowledge. This workshop is for you if:
 
-- You can use the magrittr pipe `%>%` and/or native pipe `|>`
-- You are familiar with functions from `{dplyr}`, `{tidyr}`, and `{ggplot2}`
 - You can read data into R, transform and reshape data, and make a wide variety of graphs
+- You are familiar with functions from `{dplyr}`, `{tidyr}`, and `{ggplot2}`
+- You can use the magrittr pipe `%>%` and/or native pipe `|>`
+
 
 We expect participants to have some exposure to basic Statistical, Mathematical and Epidemic theory concepts, but NOT intermediate or expert familiarity with modeling.