diff --git a/2ds_platform.md b/2ds_platform.md
index 1d9efe765b4..7c76570dcc5 100644
--- a/2ds_platform.md
+++ b/2ds_platform.md
@@ -21,3 +21,7 @@ The DSP is built on four pillars: **support, education, innovation, and tool dev
 - **Innovation** seeks to introduce researchers to new computational biology methods and technologies, and modernize the data science landscape at the Centre. This pillar aims to help researchers stay ahead of the curve by learning the latest technologies and techniques.
 
 - **Tool development** aims to transform the outputs of the other pillars into standard tools that can be shared across the Centre and open sourced for the entire community to use. This will create a comprehensive set of tools easily accessible to researchers.
+
+## Data Science Platform Notes
+
+We have our own notes repository which you can find at [biosustain.github.io/dsp_notes/](https://biosustain.github.io/dsp_notes/). It contains technical notes related to our work and links to our teaching materials.
diff --git a/5education.md b/5education.md
index 91f292c9454..d32370b85ce 100644
--- a/5education.md
+++ b/5education.md
@@ -66,4 +66,11 @@ An introduction to the fascinating world of Knowledge Graphs and their vital rol
 - Understand the principles and structure of Knowledge Graphs, enabling you to work with diverse biological data
 - Gain insight into data standards and graph databases in creating effective Knowledge Graphs
 - Explore real-world examples to inspire innovative approaches to biological research
-- Learn practical analysis techniques to harness the power of Knowledge Graphs for insightful discoveries in biology
\ No newline at end of file
+- Learn practical analysis techniques to harness the power of Knowledge Graphs for insightful discoveries in biology
+
+## Data Science Platform Trainings
+
+The Data Science platform has strong commitment to advancing the education of our researcher fellows in Data Science topics. To that end, we are organizing courses about different data-types handled and produced at DTU - Biosustain (during May), and about data science aspects in general (during November). Furthermore, we are also co-organizing with DTU - Bioengineering the Data Science Club on monthly basis. 
+
+An overview of the technical trainings offered by the Data Science Platform can be found 
+at [biosustain.github.io/dsp_notes/trainings](https://biosustain.github.io/dsp_notes/trainings).