diff --git a/docs/website/docs/build-a-pipeline-tutorial.md b/docs/website/docs/build-a-pipeline-tutorial.md
index 860657b16c..36d30a184f 100644
--- a/docs/website/docs/build-a-pipeline-tutorial.md
+++ b/docs/website/docs/build-a-pipeline-tutorial.md
@@ -280,7 +280,7 @@ with pipeline.sql_client() as client:
             GROUP BY 
                 category, 
                 region;
-    )"""
+    """)
 ```
 
 In this example, the `execute_sql` method of the SQL client allows you to execute SQL statements. The statement inserts a row with values into the `customers` table.
diff --git a/docs/website/docs/dlt-ecosystem/transformations/sql.md b/docs/website/docs/dlt-ecosystem/transformations/sql.md
index e6011a71ae..02e5aa4396 100644
--- a/docs/website/docs/dlt-ecosystem/transformations/sql.md
+++ b/docs/website/docs/dlt-ecosystem/transformations/sql.md
@@ -42,7 +42,7 @@ with pipeline.sql_client() as client:
             GROUP BY 
                 category, 
                 region;
-    )"""
+    """)
 ```
 
 You can also use the `execute_sql` method to run select queries. The data is returned as a list of rows, with the elements of a row
diff --git a/docs/website/docs/tutorial/load-data-from-an-api.md b/docs/website/docs/tutorial/load-data-from-an-api.md
index 6a682457f4..4825c50fe3 100644
--- a/docs/website/docs/tutorial/load-data-from-an-api.md
+++ b/docs/website/docs/tutorial/load-data-from-an-api.md
@@ -78,7 +78,7 @@ You can use dlt [datasets](../general-usage/dataset-access/dataset) to easily qu
 
 ```py
 # get the dataset
-dataset = dlt.dataset("mydata")
+dataset = pipeline.dataset("mydata")
 
 # get the user relation
 table = dataset.users