Data Part-Time Bootcamp

Bootcamp

The second phase is mainly about the tools of the trade. Here you will deal with the general basics of the Python programming language, in which you will write and execute your first small programmes. Afterwards, you will get to know Numpy and Pandas, the most important Python libraries for working with data. In parallel, you will become familiar with databases and learn about the possibilities of SQL – which will then accompany you during the boot camp.

It's getting exciting once again! In the third phase, we start with an extensive EDA project (exploratory data analysis). Here you have the chance to put your previously acquired knowledge to practical use: Evaluate an unknown data set in a targeted and efficient way to clarify relevant questions for a stakeholder - and also present this convincingly in a presentation. Afterwards, we come to the basics of machine learning: you will get to know and apply regression and classification models. We will then teach you model evaluation and what tradeoffs you need to consider when creating predictive models. You consolidate everything you have learned in a machine learning group project.

The fourth phase on the way to becoming a data all-rounder is about building a data-driven mindset and living the culture around it. In addition to the basics of agile project management, we will teach you what data products are and what it means to manage them as a product owner. In addition, you will get to know different KPIs and understand what role they have for stakeholders. To make data accessible and understandable for laypeople, you will create visualization dashboards using modern tools.

This phase of our bootcamp is all about machine learning. Here you will learn about other regression and classification models and understand how fairly simple models can be linked to solve more complex problems. In addition to the theory of how the models work, you will of course also learn about their practical application. The focus here is on understanding which challenges the individual models are particularly suitable for. This phase is also completed by a larger project in which you can try out and demonstrate what you have learned.

The final! You're almost there. In this phase you will learn how to use your developed models online and connect them to external data sources. This is followed by the four-week final project: In a team of three to four people, you will develop a solution to a problem of your own choosing and present it. You will apply all of your technical and agile knowledge and learn new ones.

Congrats, you did it! 🙌