data science 101 DHBW 2019

Introcution to data science class tought at the DHBW in 2019. Basic overview of content is found here.

labs

All the labs are found in the labs folder.

content

From basic data cleaning activities we cover advaned modeling strategies to real time model deployment.

first step

1. install docker desktop https://www.docker.com/products/docker-desktop
2. install git
   • https://git-scm.com/
   • on OsX using homebrew: brew install git
3. clone the repository by executing: git clone https://github.com/lecturing/DHBW19-DS101.git
4. go inside the labs folder and pull the prepared images by executing: docker-compose up
5. got to the web UI of the jupyter notebook