This workshop is designed to provide participants a basic overview and understanding of data privacy concepts and techniques, especially from a government agency context.

In the workshop, there will be case studies and hands on python coding to familiarize participants with the available tools and resources.

Participants are assumed to have some knowledge on basic python programming and have some experience working with data.

The workshop will be conducted using Jupyter Notebook, follow the instructions below and ensure that you have all the required libraries installed for a smooth-sailing workshop :)!

If you have Jupyter Notebook installed, you may skip this section.

1. Install python

• Go to https://www.python.org/downloads/
• Download installer for your OS and install

2. Install Jupyter with pip If you use pip, you can install it with:

pip install jupyterlab

OR

1. Using Anaconda

• Go to https://docs.anaconda.com/anaconda/install/
• Download installer for your OS
• Install anaconda with Python

2. Install Jupyter with conda If you use conda, you can install it with:

conda install -c conda-forge jupyterlab

1. go to the directory path you want to download to
2. run command git clone https://github.com/dsaidgovsg/data-privacy-workshop.git

OR

1. go to https://github.com/dsaidgovsg/data-privacy-workshop
2. click on code -> download zip
3. extract the downloaded zip into your desired directory path

1. go to the directory which you have downloaded the files
2. open terminal/powershell at directory <your download path>
3. execute pip install -r requirements.txt

1. open terminal/powershell at directory <your download path>/workshop/
2. execute jupyter notebook
3. on Jupyter web application, open the respective files required during the Workshop by clicking on it

Main: @dsaid-xj, @syah-ri, @ameeraadam, @tangalan Support: DSAID - Data Engineering Team