Fundamentals of Statistics with Excel

TitleTimeRoomTeacher
Fundamentals of Statistics with Excel19.01.2026 09:00 - 16:00 (Mon)OnlineDr. Denis Düsseldorf
Fundamentals of Statistics with Excel20.01.2026 09:00 - 16:00 (Tue)OnlineDr. Denis Düsseldorf
Keywords: 
Statistics, Data Analysis, Microsoft Excel, Hypothesis Testing, Descriptive and Inferential Methods
Course Description: 

This intensive workshop offers a practical introduction to the core principles of statistics, designed specifically for doctoral researchers from all disciplines - no prior knowledge required.

Participants will gain a solid understanding of key statistical methods and learn how to apply them effectively to their own data. The course combines concise theoretical input with hands-on exercises, using Microsoft Excel for the practical component.

Course aims: 
  • The Role and Relevance of Statistics
  • Descriptive Statistics and Data Summarization
  • Statistical Charts and Visualizations
  • Fundamentals of Probability
  • Correlation and Linear Regression
  • Introduction to Inferential Statistics
  • Hypothesis Testing and Confidence Intervals
  • Sampling Methods and Sources of Bias
  • Critical Evaluation of Statistical Claims in Scientific Literature
  • Common Pitfalls and Errors in Data Analysis
Teaching methods: 

The course alternates between brief theory sessions and hands-on practice, allowing participants to apply concepts immediately using Microsoft Excel. This interactive approach ensures effective learning.

This course fits doctoral candidates in the following phase: 

At the beginning of the doctorate │ during the doctorate │ at the end of the doctorate

Participation requirements: 

None.

Technical requirements: 

A Laptop with Microsoft Excel installed, stable internet connection, microphone, webcam, Zoom (in most cases).

Course preparation: 

None.

Additional information: 

None.

Category: 
Fachübergreifende Veranstaltung
Event type: 
Seminar/Workshop
Organizer: 
Graduate School Geschäftsstelle
Responsibility for event: 
Hauptverantwortung
Format: 
Digital/Online
Course Language: 
EN
Course Capacity (Max): 
15
Course capacity (Min): 
1
Duration in hours: 
12
Financial contribution: 
35 Euro
Trainer: 
Dr. Denis Düsseldorf

Dr. Denis Düsseldorf earned his doctoral degree in mathematics from the University of Bonn in 2024 and holds a certification as a 'Data Scientist Specialized in Machine Data Analytics' from the Fraunhofer Research Institute. His doctoral dissertation focused on the numerical resolution of partial differential equations characterized by multi-scale attributes. He works as a freelance consultant specializing in AI, automation, and data analysis, and as a passionate trainer, he teaches programming and mathematical topics to current and aspiring researchers to help them solve practical problems in their research.