diff --git a/doc/source/development/policies.rst b/doc/source/development/policies.rst
index b7cc3db3ad260..1031bbfc46457 100644
--- a/doc/source/development/policies.rst
+++ b/doc/source/development/policies.rst
@@ -6,7 +6,7 @@ Policies
 
 .. _policies.version:
 
-Version Policy
+Version policy
 ~~~~~~~~~~~~~~
 
 .. versionchanged:: 1.0.0
@@ -48,7 +48,7 @@ deprecation removed in the next next major release (2.0.0).
 These policies do not apply to features marked as **experimental** in the documentation.
 pandas may change the behavior of experimental features at any time.
 
-Python Support
+Python support
 ~~~~~~~~~~~~~~
 
 pandas will only drop support for specific Python versions (e.g. 3.6.x, 3.7.x) in
diff --git a/doc/source/development/roadmap.rst b/doc/source/development/roadmap.rst
index e57ff82add278..d331491d02883 100644
--- a/doc/source/development/roadmap.rst
+++ b/doc/source/development/roadmap.rst
@@ -152,7 +152,7 @@ We'd like to fund improvements and maintenance of these tools to
 
 .. _roadmap.evolution:
 
-Roadmap Evolution
+Roadmap evolution
 -----------------
 
 pandas continues to evolve. The direction is primarily determined by community
diff --git a/doc/source/ecosystem.rst b/doc/source/ecosystem.rst
index b7e53b84f0e02..fd5e7c552fe0a 100644
--- a/doc/source/ecosystem.rst
+++ b/doc/source/ecosystem.rst
@@ -5,7 +5,7 @@
 {{ header }}
 
 ****************
-Pandas ecosystem
+pandas ecosystem
 ****************
 
 Increasingly, packages are being built on top of pandas to address specific needs
diff --git a/doc/source/getting_started/comparison/comparison_with_sas.rst b/doc/source/getting_started/comparison/comparison_with_sas.rst
index 4e284fe7b5968..f12d97d1d0fde 100644
--- a/doc/source/getting_started/comparison/comparison_with_sas.rst
+++ b/doc/source/getting_started/comparison/comparison_with_sas.rst
@@ -698,7 +698,7 @@ In pandas this would be written as:
    tips.groupby(['sex', 'smoker']).first()
 
 
-Other Considerations
+Other considerations
 --------------------
 
 Disk vs memory
@@ -752,4 +752,4 @@ to interop data between SAS and pandas is to serialize to csv.
    Wall time: 14.6 s
 
    In [9]: %time df = pd.read_csv('big.csv')
-   Wall time: 4.86 s
+   Wall time: 4.86 s
\ No newline at end of file
diff --git a/doc/source/getting_started/comparison/comparison_with_sql.rst b/doc/source/getting_started/comparison/comparison_with_sql.rst
index e3c8f8f5ccbcd..c46ec9b3f7090 100644
--- a/doc/source/getting_started/comparison/comparison_with_sql.rst
+++ b/doc/source/getting_started/comparison/comparison_with_sql.rst
@@ -388,10 +388,10 @@ In pandas, you can use :meth:`~pandas.concat` in conjunction with
 
     pd.concat([df1, df2]).drop_duplicates()
 
-Pandas equivalents for some SQL analytic and aggregate functions
+pandas equivalents for some SQL analytic and aggregate functions
 ----------------------------------------------------------------
 
-Top N rows with offset
+Top n rows with offset
 ~~~~~~~~~~~~~~~~~~~~~~
 
 .. code-block:: sql
@@ -405,7 +405,7 @@ Top N rows with offset
 
     tips.nlargest(10 + 5, columns='tip').tail(10)
 
-Top N rows per group
+Top n rows per group
 ~~~~~~~~~~~~~~~~~~~~
 
 .. code-block:: sql