Data Science Foundations - Codecademy Learning Path

This repo contains personal projects done as a part of the “Data Science Foundations” Codecademy learning path.

1. Life-Expectancy-and-GDP Project

Objective

The goal of the "Life-Expectancy-and-GDP" project is to analyze data on GDP and Life Expectancy from the World Health Organization and the World Bank to try and identify the relationship between the GDP and Life Expectancy of six countries over 2000-2015 years.

Installation

1. Create a virtual environment:

   $ python -m venv .venv

   This command creates a venv in the .venv directory.

2. Activate the virtual environment:

• On Linux and MacOS, we activate our virtual environment with the source command:

  $ source <directory>/bin/activate

• On Windows:

  # In cmd.exe
  $ env\Scripts\activate.bat
  # In PowerShell
  $ venv\Scripts\Activate.ps1

3. Install the dependencies:

   $ pip install -r requirements.txt

4. Create a new kernel with a desired name:

   $ python -m ipykernel install --user --name=new_kernel_name

5. Open a jupyter notebook

   $ jupyter notebook

2. Biodiversity Project

Objective

This project is meant to help the National Park Service to ensure the survival of at-risk species and to maintain the level of biodiversity within their parks.

Installation

1. Create a virtual environment:

   $ python -m venv .venv

   This command creates a venv in the .venv directory.

2. Activate the virtual environment:

• On Linux and MacOS, we activate our virtual environment with the source command:

  $ source <directory>/bin/activate

• On Windows:

  # In cmd.exe
  $ env\Scripts\activate.bat
  # In PowerShell
  $ venv\Scripts\Activate.ps1

3. Install the dependencies:

   $ pip install -r requirements.txt

4. Create a new kernel with a desired name:

   $ python -m ipykernel install --user --name=new_kernel_name

5. Open a jupyter notebook

   $ jupyter notebook