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   "source": [
    "---\n",
    "license:\n",
    "    code: MIT\n",
    "    content: CC-BY-4.0\n",
    "github: https://github.com/ocademy-ai/machine-learning\n",
    "venue: By Ocademy\n",
    "open_access: true\n",
    "bibliography:\n",
    "  - https://raw.githubusercontent.com/ocademy-ai/machine-learning/main/open-machine-learning-jupyter-book/references.bib\n",
    "---"
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   "id": "e74126cb-22df-48c8-8972-be97fa9145df",
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   "source": [
    "# Introduction"
   ]
  },
  {
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      "./../../images/the-data-science-venn-diagram.png"
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   "source": [
    ":::{figure} https://static-1300131294.cos.ap-shanghai.myqcloud.com/images/the-data-science-venn-diagram.png\n",
    "---\n",
    "name: The data science venn diagram\n",
    "---\n",
    "The data science venn diagram{cite}:TheDataScienceVennDiagram:\n",
    ":::"
   ]
  },
  {
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   "id": "88fcce44",
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   "source": [
    "In this part, you will discover how Data Science is defined and learn about ethical considerations that must be considered by a data scientist. You will also learn how data is defined and learn a bit about statistics and probability, the core academic domains of Data Science.\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
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   "source": [
    ":::{tableofcontents}\n",
    "\n",
    ":::"
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    "---"
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   "id": "bd109ea2-3741-41f9-9f42-777d7b990d52",
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    ":::{bibliography}\n",
    ":filter: docname in docnames\n",
    ":::"
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