diff --git a/beginner_source/basics/data_tutorial.py b/beginner_source/basics/data_tutorial.py
index 77f2fbd30a0..07c0642a832 100644
--- a/beginner_source/basics/data_tutorial.py
+++ b/beginner_source/basics/data_tutorial.py
@@ -225,7 +225,7 @@ def __getitem__(self, idx):
 # --------------------------
 #
 # We have loaded that dataset into the ``Dataloader`` and can iterate through the dataset as needed.
-# Each iteration below returns a batch of ``train_features`` and ``train_labels``(containing ``batch_size=64`` features and labels respectively).
+# Each iteration below returns a batch of ``train_features`` and ``train_labels`` (containing ``batch_size=64`` features and labels respectively).
 # Because we specified ``shuffle=True``, after we iterate over all batches the data is shuffled (for finer-grained control over 
 # the data loading order, take a look at `Samplers <https://pytorch.org/docs/stable/data.html#data-loading-order-and-sampler>`_).