diff --git a/doc/source/getting_started/intro_tutorials/09_timeseries.rst b/doc/source/getting_started/intro_tutorials/09_timeseries.rst
index 14db38c3822dc..6ba3c17fac3c3 100644
--- a/doc/source/getting_started/intro_tutorials/09_timeseries.rst
+++ b/doc/source/getting_started/intro_tutorials/09_timeseries.rst
@@ -295,7 +295,7 @@ Aggregate the current hourly time series values to the monthly maximum value in
 
 .. ipython:: python
 
-    monthly_max = no_2.resample("ME").max()
+    monthly_max = no_2.resample("MS").max()
     monthly_max
 
 A very powerful method on time series data with a datetime index, is the
diff --git a/doc/source/user_guide/timeseries.rst b/doc/source/user_guide/timeseries.rst
index ab3f5b314ed83..d5137baa95ab8 100644
--- a/doc/source/user_guide/timeseries.rst
+++ b/doc/source/user_guide/timeseries.rst
@@ -1864,7 +1864,7 @@ to resample based on datetimelike column in the frame, it can passed to the
        ),
    )
    df
-   df.resample("ME", on="date")[["a"]].sum()
+   df.resample("MS", on="date")[["a"]].sum()
 
 Similarly, if you instead want to resample by a datetimelike
 level of ``MultiIndex``, its name or location can be passed to the
@@ -1872,7 +1872,7 @@ level of ``MultiIndex``, its name or location can be passed to the
 
 .. ipython:: python
 
-   df.resample("ME", level="d")[["a"]].sum()
+   df.resample("MS", level="d")[["a"]].sum()
 
 .. _timeseries.iterating-label: