diff --git a/doc/source/getting_started/10min.rst b/doc/source/getting_started/10min.rst
index 972b562cfebba..50c53a56174c8 100644
--- a/doc/source/getting_started/10min.rst
+++ b/doc/source/getting_started/10min.rst
@@ -103,7 +103,7 @@ Display the index, columns:
    df.columns
 
 :meth:`DataFrame.to_numpy` gives a NumPy representation of the underlying data.
-Note that his can be an expensive operation when your :class:`DataFrame` has
+Note that this can be an expensive operation when your :class:`DataFrame` has
 columns with different data types, which comes down to a fundamental difference
 between pandas and NumPy: **NumPy arrays have one dtype for the entire array,
 while pandas DataFrames have one dtype per column**. When you call