This project will introduce students to an array of skills as they strive to access and prepare data for further analysis, a process referred to as data cleaning. Whenever data scientists work with any dataset, they must complete this process first to ensure the data is in a suitable format. In this project, students will be able to learn the process and apply it to a Netflix dataset. You should be able to apply this same process to all future datasets you would like to use for data science analysis.

The main goal of this project is to set up the environment, install the required packages, learn how to access data and do some basic exploratory data analysis.

I used Google Colab for this project and Jupyter as the IDE. The packages used were pandas and numpy.

Further information, including the data is available on the notebook.