Add sample notebook for using BigQuery Standard SQL in Cloud Datalab

Readme.ipynb

@@ -63,6 +63,9 @@
     "* [**BigQuery Commands**](tutorials/BigQuery/BigQuery Commands.ipynb) - Use simple, declarative commands to do everything, from exploring to interactively analyzing, transforming, and visualizing your data.\n",
     "\n",
     "\n",
+    "* [**BigQuery Standard SQL**](tutorials/BigQuery/BigQuery Standard SQL.ipynb) - Use features of [BigQuery Standard SQL](https://cloud.google.com/bigquery/sql-reference/) and [BigQuery SQL Data Manipulation Language (beta)](https://cloud.google.com/bigquery/sql-reference/dml-syntax).\n",
+    "\n",
+    "\n",
     "* [**BigQuery APIs**](tutorials/BigQuery/BigQuery APIs.ipynb) - Use an extensive and intuitive library of Python APIs, designed with notebooks in mind, to query data and work with BigQuery objects, such as DataSets, Tables and Schemas.\n",
     "\n",
     "\n",

tutorials/BigQuery/BigQuery APIs.ipynb

@@ -17,7 +17,7 @@
    "source": [
     "## Importing the API\n",
     "\n",
-    "The Cloud Datalab APIs are provided in the `gcpdata` Python library, and the BigQuery functionality is contained within the `gcp.bigquery` module."
+    "The Cloud Datalab APIs are provided in the `datalab` Python library, and the BigQuery functionality is contained within the `datalab.bigquery` module."
    ]
   },
   {