{ "cells": [ { "cell_type": "markdown", "id": "5d620868-e093-4c85-95bf-273e36131c37", "metadata": { "slideshow": { "slide_type": "slide" }, "tags": [] }, "source": [ "# Section 4: Hands-On Data Analysis Lab\n", "\n", "We will practice all that you’ve learned in a hands-on lab. This section features a set of analysis tasks that provide opportunities to apply the material from the previous sections. This lab comes in 2 formats – select the one that is most appropriate:\n", "\n", "- [Live Session](#Live-Session)\n", "- [Asynchronous Session](../asynchronous_lab/asynchronous_lab.ipynb#Asynchronous-Session)\n", "\n", "## Live Session\n", "\n", "### Lab Tasks\n", "\n", "[This](https://forms.gle/wnyDZwCjgvn9fuHK9) Google form contains all the tasks for this lab. You can submit as many times as you wish, and you will be able to see which questions you got wrong (if any).\n", "\n", "#### Important notes:\n", "- The Google form will open when we arrive to this section of the training.\n", "- You don't have to answer all the questions to submit.\n", "- There are likely more questions than you will have time to answer, so be sure to submit before the session ends." ] }, { "cell_type": "code", "execution_count": null, "id": "1f1c16d5-50e4-41bf-ad23-4ff036e4acbd", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.13.3" } }, "nbformat": 4, "nbformat_minor": 5 }