Voor de student
A new semester is approaching, which means that a new Analytics Academy Impact Project round is near!
Real data. Real econometrics.
What is the Analytics Academy?
The Analytics Academy is an initiative of the VSAE, where students are given the opportunity to act as a quantitative consultant and apply their theoretical knowledge on real data from non-profit organisations. Each semester, several partner organisations are participating, each with a unique case and unique data (more on this below!). The Analytics Academy consists of the Impact Projects and the Online Competition.
- Impact Projects
When you join the Analytics Academy, you will apply your theoretical knowledge on real data from non-profit organisations. These partner organisations have developed a business question, and the task is up to you to be their consultant: to formulate a research question, to do research with the given data, and finally to provide the organisation with tailor-made advice, supported by your research. As a Analytics Academy analyst, you will work in groups of four VSAE students and you will be working on the case for approximately four hours per week.
Why should I join?
Apart from a great time where you will meet and work closely with fellow students, you will also greatly practice your data science skills by working on a real project. On top of that, several companies organise workshops on relevant topics to help each group with their project. Previous workshops have been on data visualisation, leadership, Microsoft Excel and more. Participating in the Analytics Academy is also a great opportunity to boost your cv!
Which organisations are participating this semester?
We’re glad you asked. This semester’s partner organisations are the following:
UNICEF (Thesis project)
UNICEF has 42 million households who donate on a regular basis. They would like to know what the amount is of that donation by individuals. They are also interested in the characteristics that form this regular amount. In the end, they would like to know how to increase this gift amount. The data that is available for this thesis project are gift transactions, donor characteristics and campaign information.
Justice and Peace
Justice and Peace is a non-profit organization that caters to refugees. They work with a buddy system where five locals are matched with one refugee or one refugee household. People are matched based on preferences, which are filled in beforehand. At the moment, they are matching refugees with locals manually. They would like to automate this system. That’s where you come in. As a team, your task is to build a model that optimizes the quality of the matches based on preferences.
For question, you can always contact us at firstname.lastname@example.org.