Your data, your questions: A practical statistics workshop for researchers

Academia Raetica

About the course

Every researcher working with empirical data needs a solid understanding of statistical data analysis. Yet, statistics is often taught in abstract ways, disconnected from real research questions. This hands-on online course bridges that gap by focusing on participants’ own data and projects.

Format

Participants begin with a self-paced online course to refresh or build foundational knowledge in statistics (accessible online from August 4). Then, across five interactive live sessions (2 hours each), you will learn statistics directly on examples based on research data of the group members. Before the course, you will submit your questions and datasets. During the sessions, we discuss these in detail and walk through example analyses together. Participants are encouraged to ask questions throughout.

Topics will be shaped by the group and may include: study design, choosing suitable statistical methods, interpreting results, dealing with small sample sizes, or effective presentation of data in text, tables, and figures.

This is not a generic statistics course - it’s hands-on support for your real research challenges.

Goals

The course aims to empower participants to analyze their data more confidently, avoid common pitfalls, and make informed methodological decisions. By the end, you will also be better equipped to critically read published results and to plan future studies more effectively.

Important: Meaningful participation requires sharing questions and (anonymized) data with the group. We expect you to attend four out of five sessions.

About the trainer 

Daniela Keller is a statistician and expert in applied data analysis with over 15 years of experience in statistical consulting. With a background in mathematics, she has supported hundreds of research projects across the life sciences and other disciplines. Her strength lies in translating complex statistical concepts into practical, understandable guidance tailored to individual research needs.

Daniela is the founder of Statistik-Akademie, an online platform dedicated to helping researchers gain confidence in their data analysis through clear, hands-on learning. As a speaker, she is known for her engaging, accessible style and her ability to turn statistical uncertainty into clarity - even enthusiasm.

She lives near Würzburg, Germany, and brings both academic rigor and real-world experience to her work with researchers at all stages of their career.

Blog: https://statistik-und-beratung.de/blog/

YouTube: https://www.youtube.com/@StatistikAkademie
Statistik-Akademie: https://www.statistik-akademie.de/

General information and fee

• Dates:

  • Thursday, September 4, 4:00 to 6:00 PM

  • Wednesday, September 10, 4:00 to 6:00 PM

  • Thursday, September 18, 4:00 to 6:00 PM

  • Thursday, September 25, 4:00 to 6:00 PM

  • Thursday, October 2, 4:00 to 6:00 PM

• Format: Online workshop. The participants will receive a link to the self-paced preperatory online course (accessible from August 4 onwards) and for the interactive life sessions (Zoom)

• Lecturer: Daniela Keller

• Language: English

• Target audience: PhD students and postdocs from all disciplines, all interested scientists

• Course fee for participants from Academia Raetica member or partner institutions: CHF 120.

• External participants (not working at an Academia Raetica member or partner institution): CHF 250

• Registration deadline: July 24, 2025

• max. 12 people (a maximum of 8 who wish to submit their own data)

• Cancellation policy: You can cancel free of charge until July 25. Please see our Terms of Participation for details.

• Course Coordinator: Daniela Heinen, daniela.heinen@academiaraetica.ch, phone 081 410 60 84

• Course certificate: You will receive a certificate of attendance, if you attend at least four sessions and complete the preliminary self-learning course.

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