ds, eda

docs/_toc.yml

@@ -79,6 +79,8 @@ parts:
   - caption: Data Science
     chapters:
       - file: data_science/intro_to_data_science
+      - file: data_science/ds_lifecycle
+      - file: data_science/eda
 
   - caption: Data Visualization
     chapters:
@@ -99,3 +101,7 @@ parts:
   - caption: LLM
     chapters:
       - file: llm/intro_to_llm
+
+  - caption: Reference
+    chapters:
+      - file: reference/ai_domains

docs/data_science/ds_lifecycle.md

@@ -0,0 +1,32 @@
+# Data Science Lifecycle
+
+## Cross-industry standard process for data mining
+
+Published in 1999 to standardize data mining processes across industries, it has since become the most common methodology for data mining, analytics, and data science projects.
+
+```{figure} ../images/ds/crisp_dm.png
+---
+name: crisp-dm
+---
+Cross-industry standard process for data mining.
+```
+
+Read more here:
+
+1. [What is CRISP DM?](https://www.datascience-pm.com/crisp-dm-2/)
+
+## Team Data Science Lifecycle
+
+The Team Data Science Process (TDSP) provides a lifecycle that your team can use to structure your data science projects.
+
+```{figure} ../images/ds/team_ds_lifecycle.png
+---
+name: team-ds-lifecycle
+---
+Team Data Science Lifecycle.
+```
+
+Read more here:
+
+1. [The Team Data Science Process lifecycle](https://learn.microsoft.com/en-us/azure/architecture/data-science-process/lifecycle)
+2. [Roles and tasks in the Team Data Science Process](https://learn.microsoft.com/en-us/azure/architecture/data-science-process/roles-tasks)