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    "[![View slides in browser](https://img.shields.io/badge/view-slides-orange?logo=reveal.js&logoColor=white)](https://stefaniemolin.com/pandas-workshop/)\n",
    "\n",
    "---\n",
    "\n",
    "\n"
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   "source": [
    "# Introduction to Data Analysis Using Pandas\n",
    "\n",
    "### Stefanie Molin"
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   "source": [
    "## Bio\n",
    "\n",
    "- 👩‍💻 Software engineer at Bloomberg in NYC\n",
    "- 🚀 Core developer of [numpydoc](https://github.com/numpy/numpydoc)\n",
    "- ✍️ Author of [Hands-On Data Analysis with Pandas](https://www.amazon.com/Hands-Data-Analysis-Pandas-visualization-dp-1800563450/dp/1800563450/) (currently in its second edition; translated into Korean and Simplified Chinese)\n",
    "- 🎓 Bachelor's degree in operations research from Columbia University\n",
    "- 🎓 Master's degree in computer science (ML specialization) from Georgia Tech"
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    "### Prerequisites\n",
    "- To follow along with this workshop, you will need to either configure a local environment or use a cloud solution like GitHub Codespaces. Consult the [README](https://github.com/stefmolin/pandas-workshop#setup-instructions) for step-by-step setup instructions.\n",
    "- In addition, you should have basic knowledge of Python and be comfortable working in Jupyter Notebooks; if not, check out the resources [here](https://github.com/stefmolin/pandas-workshop#prerequisites) to get up to speed."
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   "source": [
    "### Session Outline\n",
    "1. Getting Started With Pandas\n",
    "2. Data Wrangling\n",
    "3. Data Visualization\n",
    "4. Hands-On Data Analysis Lab"
   ]
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   "source": [
    "## Let's get started\n",
    "\n",
    "*Be sure to follow along in the [notebooks](https://github.com/stefmolin/pandas-workshop/tree/main/notebooks).*\n",
    "\n",
    "<img width=\"30%\" src=\"https://www.pngkey.com/png/detail/42-428839_silhouette-face-bamboo-cartoon-wild-bear-cute-panda.png\" alt=\"Silhouette, Face, Bamboo, Cartoon, Wild, Bear, Cute - Panda Black And White@pngkey.com\" style=\"min-width: 300px\">"
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