diff --git a/notebooks/0_start_here.ipynb b/notebooks/0_start_here.ipynb
index 2ff0b3c..0a9dd80 100644
--- a/notebooks/0_start_here.ipynb
+++ b/notebooks/0_start_here.ipynb
@@ -81,7 +81,7 @@
       },
       "source": [
         "## Reading Data from Snowflake\n",
-        "Today, we'll be analyzing the time series data from the [Cybersyn Finance and Economics dataset](https://app.snowflake.com/marketplace/listing/GZTSZAS2KF7/cybersyn-inc-financial-economic-essentials). You can find the instructions to setup the dataset for this tutorial [here](https://quickstarts.snowflake.com/guide/getting_started_with_pandas_on_snowflake/#1). \n",
+        "Today, we'll be analyzing the time series data from the [Snowflake Public Data (Free)](https://app.snowflake.com/marketplace/listing/GZTSZ290BV255/snowflake-public-data-products-snowflake-public-data-free?search=snowflake+public+data+). You can find the instructions to setup the dataset for this tutorial [here](https://quickstarts.snowflake.com/guide/getting_started_with_pandas_on_snowflake/#1). \n",
         "\n",
         "Let's start by reading the `stock_price_timeseries` table into a DataFrame!\n",
         "\n",
@@ -122,7 +122,7 @@
         "\n",
         "1) Create a [Snowpark DataFrame](https://docs.snowflake.com/en/developer-guide/snowpark/python/working-with-dataframes#return-the-contents-of-a-dataframe-as-a-pandas-dataframe) and calling [`to_pandas`](https://docs.snowflake.com/developer-guide/snowpark/reference/python/latest/snowpark/api/snowflake.snowpark.DataFrame.to_pandas) to export results into a pandas DataFrame\n",
         "```python\n",
-        "snowpark_df = session.table(\"FINANCIAL__ECONOMIC_ESSENTIALS.CYBERSYN.STOCK_PRICE_TIMESERIES\")\n",
+        "snowpark_df = session.table(\"SNOWFLAKE_PUBLIC_DATA_FREE.PUBLIC_DATA_FREE.STOCK_PRICE_TIMESERIES\")\n",
         "native_pd_df = snowpark_df.to_pandas()\n",
         "```\n",
         "\n",
@@ -132,7 +132,7 @@
         "# Create a cursor object\n",
         "cur = session.connection.cursor()\n",
         "# Execute a statement that will generate a result set\n",
-        "cur.execute(\"select * from FINANCIAL__ECONOMIC_ESSENTIALS.CYBERSYN.STOCK_PRICE_TIMESERIES\")\n",
+        "cur.execute(\"select * from SNOWFLAKE_PUBLIC_DATA_FREE.PUBLIC_DATA_FREE.STOCK_PRICE_TIMESERIES\")\n",
         "# Fetch all the rows in a cursor and load them into a pandas DataFrame\n",
         "native_pd_df = cur.fetch_pandas_all()\n",
         "```\n",
@@ -155,7 +155,7 @@
       "source": [
         "start = perf_counter()\n",
         "cur = session.connection.cursor()\n",
-        "cur.execute(\"select * from FINANCIAL__ECONOMIC_ESSENTIALS.CYBERSYN.STOCK_PRICE_TIMESERIES\")\n",
+        "cur.execute(\"select * from SNOWFLAKE_PUBLIC_DATA_FREE.PUBLIC_DATA_FREE.STOCK_PRICE_TIMESERIES\")\n",
         "native_pd_df = cur.fetch_pandas_all()\n",
         "end = perf_counter()\n",
         "print(f\"Native pandas took {end - start} seconds to read the data!\")"