Data Science on Sustainable Development Goals (SDGs)

Understand and analyze SDG data sets. Get an introduction to data science – get inspired for your sustainability journey

What you’ll learn

Data Science on Sustainable Development Goals (SDGs)

Understand the Sustainable Development Goals (SDG)
Get a quick start for visualizing SDGs in Python
Perform initial data science practice on combined SDG data sets
Get inspired for your next step and contribution toward sustainability!

Requirements

Basic programming knowledge – the Python parts should give you a starting point
The inital capability of analysing data sets.

Description

The course highlights the sustainable development goals (SDGs) and analyzes the SDG indicators that track the current global status.

Did you know that there exist 17 goals backed up and monitored by over 230 indicators? Each indicator measures the progress of all countries, sometimes over decades—a lot of data points to analyze. Let’s start!

The lecture balances basic principles for everyone and crisp data science sections analyzing SDG indicators based on Python.

The course is divided into 5 sections:

General introduction to the SDGs and their data sets to trace the status.
Data Science overview and explaining the CRISP-DM methodology.
Data Science visualization practices on time series, world maps, and tree view examples.
Data Science practice on combining various SDG indicators and doing a cross-analysis.
Additional information for your next step and possible contribution.

The course’s overall objective is to give you a quick start in data science practice and inspire you to contribute towards our joint SDG goals.