99 tidy up git learning resources page (#126)

* Adding callout tip with link and header for top section

* Rejigging email addresses placement so they fit the headings

* Suggested removing the bullets as they don't format nicely with multiple email addresses in this section

* Updating heading

learning-development/learning-support.qmd

@@ -6,13 +6,18 @@ title: "Learning support"
 
 ---
 
-As analysts and statistics producers, we require a variety of tools to efficiently and reliably work with our data. Below are the recommended tools that give us the most power to do what we need. These have large user communities in DfE, and are already working in our current IT setup.
+::: {.callout-tip}
+## Azure DevOps guidance
+You can find helpful guidance on DevOps on [Azure DevOps for Analysis](https://dfe-analytical-services.github.io/azure-devops-for-analysis/index.html). 
+:::
 
-For best practice when using software and coding in our process, see our [guidance on RAP expectations](../RAP/rap-expectations.html) and the [DfE Good Code Practice guide](https://dfe-analytical-services.github.io/good-code-practice/index.html).
+---
 
-For questions about publishing statistics, the statistics Code of Practice or how your statistics publication should be badged, please contact the [HoP Office](mailto:[email protected]).
+## Tools and support channels
 
-For support in data harmonisation and data structuring standards, or support with analytical digital services including the explore education statistics service, and deploying and maintaining R Shiny applications contact the [explore education statistics platforms team](mailto:[email protected]).
+As analysts and statistics producers, we require a variety of tools to efficiently and reliably work with our data. Below are the recommended tools that give us the most power to do what we need. These have large user communities in DfE, and are already working in our current IT setup.
+
+For best practice when using software and coding in our process, see our [guidance on RAP expectations](../RAP/rap-expectations.html) and the [DfE Good Code Practice guide](https://dfe-analytical-services.github.io/good-code-practice/index.html).
 
 You can also access support on a variety of topics on the [cross-government Digital Slack instance](https://x-govuk.github.io/posts/how-to-use-cross-government-slack/). Some useful channels to join are `#accessibility`, `#ai`, `#data-science` and `#datavis`. 
 
@@ -24,9 +29,12 @@ In DfE, you can also seek advice via Teams. Some useful groups are [Statistics p
 
 ## Email support
 
- * For any technical questions about R, Git, SQL, RAP or statistics production, contact [[email protected]](mailto:[email protected])  
- * The mailbox is monitored between 9-5 and we aim to reply within 2 days
- * No question is too small! We are always happy to help
+For questions about publishing statistics, the statistics Code of Practice or how your statistics publication should be badged, please contact the [HoP Office](mailto:[email protected]).
+
+For support in data harmonisation and data structuring standards, or support with analytical digital services including the explore education statistics service, and deploying and maintaining R Shiny applications contact the [explore education statistics platforms team](mailto:[email protected]).
+
+For any technical questions about R, Git, SQL, RAP or statistics production, contact [[email protected]](mailto:[email protected]). This mailbox is monitored between 9-5 and we aim to reply within 2 days. No question is too small! We are always happy to help.
+
 
  ---