diff --git a/doc/source/getting_started/index.rst b/doc/source/getting_started/index.rst
index a17699a71fbd3..0fc132486c318 100644
--- a/doc/source/getting_started/index.rst
+++ b/doc/source/getting_started/index.rst
@@ -527,7 +527,6 @@ Data sets often contain more than just numerical data. pandas provides a wide ra
                 </div>
             </div>
         </div>
-
     </div>
     </div>
 
diff --git a/doc/source/getting_started/intro_tutorials/03_subset_data.rst b/doc/source/getting_started/intro_tutorials/03_subset_data.rst
index ced976f680885..9805e3b6e995b 100644
--- a/doc/source/getting_started/intro_tutorials/03_subset_data.rst
+++ b/doc/source/getting_started/intro_tutorials/03_subset_data.rst
@@ -54,6 +54,8 @@ I’m interested in the age of the Titanic passengers.
 To select a single column, use square brackets ``[]`` with the column
 name of the column of interest.
 
+For more explanation, see `Brackets in Python and pandas <https://python-public-policy.afeld.me/en/columbia/brackets.html>`__.
+
 .. raw:: html
 
         </li>