> For the complete documentation index, see [llms.txt](https://reacoda.gitbook.io/molemi-iot/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://reacoda.gitbook.io/molemi-iot/data-science/getting-started-with-colaboratory.md).

# Getting Started with Colaboratory

Google Colaboratory is a cloud-based Jupyter Notebooks that supports free GPU. It is available on Google drive for anyone that has a Google account. 

To start make sure you have a Google account.

**Start a Colab project**

Go to your google drive and then go down to 'More' then select 'Colaboratory'.

![](https://3073865318-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2F-Ly3RLHyAwTi7Hml5lZN%2F-Lz25Z2WRcnRO9xQcxQK%2F-Lz25gQReDd3fxMlTbWz%2Fimage.png?alt=media\&token=d0265f0c-f714-4f58-8610-bba532df1168)

Once you have created your first Notebook and gave it an name, you can do the basics.

Data science involves analyzing and interpreting data to make sense of it. The programming language that is used for that is Python and R. In this course we will be using Python as it is more easily accessible.