diff --git a/doc/examples/apply_ufunc_vectorize_1d.ipynb b/doc/examples/apply_ufunc_vectorize_1d.ipynb
index c2ab7271873..d093d451877 100644
--- a/doc/examples/apply_ufunc_vectorize_1d.ipynb
+++ b/doc/examples/apply_ufunc_vectorize_1d.ipynb
@@ -28,7 +28,7 @@
     "\n",
     "### Load data\n",
     "\n",
-    "First lets load an example dataset"
+    "First let's load an example dataset"
    ]
   },
   {
diff --git a/doc/user-guide/hierarchical-data.rst b/doc/user-guide/hierarchical-data.rst
index adedbf53664..37222b3e907 100644
--- a/doc/user-guide/hierarchical-data.rst
+++ b/doc/user-guide/hierarchical-data.rst
@@ -426,7 +426,7 @@ We can use :py:meth:`xarray.DataTree.match` for this:
 We can also subset trees by the contents of the nodes.
 :py:meth:`xarray.DataTree.filter` retains only the nodes of a tree that meet a certain condition.
 For example, we could recreate the Simpson's family tree with the ages of each individual, then filter for only the adults:
-First lets recreate the tree but with an ``age`` data variable in every node:
+First let's recreate the tree but with an ``age`` data variable in every node:
 
 .. jupyter-execute::