DataScienceEcosystem.ipynb

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   "source": [
    "<h1>Data Science Tools and Ecosystem</h1>"
   ]
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   "source": [
    "In this notebook, Data Science Tools and Ecosystem are summarized."
   ]
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   "source": [
    "Some of the popular languages that Data Scientists use are:\n",
    "1. Python\n",
    "2. R\n",
    "3. SQL"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Some of the commonly used libraries used by Data Scientists include:\n",
    "1. Sci-kit Learn\n",
    "2. Matplotlib\n",
    "3. Pandas\n",
    "4. Numpy"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Some of the commonly used tools in Data Science:\n",
    "\n",
    "| Data Science Tools|\n",
    "|:--- |\n",
    "| Jupyter Notebooks|\n",
    "| RStudio|\n",
    "| VSCode|\n"
   ]
  },
  {
   "cell_type": "markdown",
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   "source": [
    "<h3>Below are a few examples of evaluating arithmetic expressions in Python</h3>"
   ]
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   "source": [
    "#  This a simple arithmetic expression to mutiply then add integers\n",
    "(3*4)+5"
   ]
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       "3.3333333333333335"
      ]
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     "execution_count": 2,
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   "source": [
    "# This will convert 200 minutes to hours by diving by 60\n",
    "minutes = 200\n",
    "hours = 200/60\n",
    "hours"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Objectives:**\n",
    "* List popular languages for Data Science\n",
    "* List various Data science tools\n",
    "* Create various types of markdown cells in Jupyter Notebook\n",
    "* Demonstrate arithmetic operations in Jupyter Notebook"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h2>Author</h2>\n",
    "Arfath Ahmed Syed"
   ]
  }
 ],
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