add Project_Summary content

Project_Summary/Project_Summary_Overview.ipynb

@@ -11,19 +11,61 @@
   {
    "cell_type": "markdown",
    "id": "9a711085-097f-460b-b501-b591f2bbc416",
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "source": [
-    "# Module 1: Data Science Introduction\n",
+    "# Final Project \n",
+    "\n",
+    "## Project summary\n",
+    "\n",
+    "In this final exercise you'll put what you've learned into practice. The goal of this project is for you to test your own ability to answer a question by analysing data inside Jupyter notebooks.\n",
+    "\n",
+    "Completing this project will reinforce key data science practices:\n",
+    "\n",
+    "* Identifying a source of data relevant to a question of interest\n",
+    "* Cleaning the data\n",
+    "* Visualizing the data\n",
+    "* Interpreting the data\n",
+    "\n",
+    "\n",
+    "Want feedback on your final project from the data science experts at Callysto? Submit your completed project to contact@callysto.ca. \n",
+    "\n",
+    "\n",
+    "***\n",
+    "## Outline \n",
+    "\n",
+    "Your project will take the form of a Jupyter notebook document with all of the following elements:\n",
+    "\n",
+    "1. A **title** that clearly communicates your project's topic and question.\n",
+    "\n",
+    "2. A short **description** of your project, including\n",
+    "\n",
+    "* The question(s) you are answering.\n",
+    "* The data set(s) you are using (include the name of your data source and a link).\n",
+    "* A link to the license of the data set(s) being used (if applicable).\n",
+    "* An explanation of why you chose this problem, and a few sentences about your assumed audience and how familiar they already are with the subject matter.\n",
+    "\n",
+    "3. **Code** that others can re-use to reproduce your results.\n",
+    "\n",
+    "4. **Visualizations** that are clear, accessible and commented—a few lines describing what the reader should see are sufficient.\n",
+    "\n",
+    "5. A **conclusion**\n",
+    "\n",
+    "Make sure you connect your original questions with what you learned about the data set.\n",
+    "Reinforce any important information you discovered while creating the notebook.\n",
+    "To help you get started, we've provided a template Jupyter notebook: http://tinyurl.com/ycadxn24 \n",
+    "\n",
+    "Examples of completed final projects are available here:\n",
+    "\n",
+    "* [Exploring Gapminder Data](https://tinyurl.com/ybqf8fgl)\n",
+    "* [Births, Deaths and Marriages in Canada](http://tinyurl.com/y9vw7vnr)\n",
     "\n",
-    "## Module Learning Outcomes\n",
+    "***\n",
     "\n",
-    "By the end of this module, you will be able to:\n",
+    "## Sharing your completed project\n",
     "\n",
-    "* Explain how data science can help us make decisions\n",
-    "* Recognize real-world uses of data science\n",
-    "* Identify opportunities to apply data science\n",
-    "* Frame questions that could be answered using data science\n",
-    "* Identify what questions a data set could answer\n"
+    "Completed projects can be wonderful teaching tools inside the classroom! There are several ways to share your Jupyter notebook with students and colleagues."
    ]
   },
   {