diff --git a/lessons/01_python_data_wrangling.ipynb b/lessons/01_python_data_wrangling.ipynb
index 6d65ac6..7896151 100644
--- a/lessons/01_python_data_wrangling.ipynb
+++ b/lessons/01_python_data_wrangling.ipynb
@@ -565,7 +565,7 @@
    "source": [
     "---\n",
     "\n",
-    "### Challenge 7: Another Way to Obtain the Month\n",
+    "### Challenge 7: Another Way to Obtain the Year\n",
     "\n",
     "If you didn't know that casting floats to ints truncates the decimals in Python, you could have used NumPy's `floor()` function. `np.floor` takes an array or `pd.Series` of floats as its argument, and returns an array or `pd.Series` where every float has been rounded down to the nearest whole number. \n",
     "\n",
diff --git a/solutions/01_python_data_wrangling_solutions.ipynb b/solutions/01_python_data_wrangling_solutions.ipynb
index 5f1a8a1..5de83a0 100644
--- a/solutions/01_python_data_wrangling_solutions.ipynb
+++ b/solutions/01_python_data_wrangling_solutions.ipynb
@@ -340,7 +340,7 @@
    "source": [
     "---\n",
     "\n",
-    "### Challenge 7: Another Way to Obtain the Month\n",
+    "### Challenge 7: Another Way to Obtain the Year\n",
     "\n",
     "If you didn't know that casting floats to ints truncates the decimals in Python, you could have used NumPy's `floor()` function. `np.floor` takes an array or `pd.Series` of floats as its argument, and returns an array or `pd.Series` where every float has been rounded down to the nearest whole number. \n",
     "\n",