Coursera_Exercise_DataScience

Coursera_DataScience_Exercise

## Where I store my assignments...

DataScienceEcosystem.ipynb

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   "source": [
    "# Data Science Tools and Ecosystem"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Author\n",
    "Stefano Raneri"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this notebook, Data Science Tools and Ecosystem are summarized."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Objectives:**\n",
    "\n",
    "- List popular languages for Data Science\n",
    "\n",
    "- List commonly used libraries for Data Science\n",
    "\n",
    "- List Data Science tools in a table\n",
    "\n",
    "- Demonstrate some arithmetic expressions such as minute to hours conversion.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Some of the popular languages that Data Scientists use are:\n",
    "\n",
    "1. Python\n",
    "2. R\n",
    "3. SQL\n",
    "4. Julia\n",
    "5. Java\n",
    "6. MATLAB\n",
    "7. Scala"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Some of the commonly used libraries used by Data Scientists include:\n",
    "\n",
    "1. NumPy\n",
    "2. Pandas\n",
    "3. Matplotlib\n",
    "4. Seaborn\n",
    "5. Scikit-learn\n",
    "6. TensorFlow\n",
    "7. Keras\n",
    "8. PyTorch\n",
    "9. SciPy\n",
    "10. NLTK"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Science Tools\n",
    "\n",
    "| Tools               |\n",
    "|---------------------|\n",
    "| Jupyter Notebook    |\n",
    "| RStudio             |\n",
    "| Spyder              |"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Below are a few examples of evaluating arithmetic expressions in Python"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "17"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# This a simple arithmetic expression to mutiply then add integers\n",
    "(3*4)+5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3.3333333333333335"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# This will convert 200 minutes to hours by diving by 60\n",
    "200/60"
   ]
  }
 ],
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