Basic Statistics

TitleTimeRoomTeacher
Basic Statistics31.01.2024 15:00 - 18:00 (Wed)onlineDr. John Pinney
Keywords: 
Basic statistics, visualising data, interpreting data, bias in data
Course Description: 

This foundational course will introduce basic statistical concepts, focusing on methods for visualising and summarising sampled data. It is intended primarily for doctoral candidates who haven’t used statistics for a long time. The course aims to equip doctoral candidates with the most essential statistical concepts and skills, to give them more confidence in presenting their own data and interpreting the results of others.

Course aims: 
  • Understand the need for statistics in scientific studies
  • Interpret graphical representations of sampled data
  • Calculate descriptive statistics for sampled data
  • Apply the normal distribution to answer questions about a population
  • Identify potential sources of bias in a scientific study
Teaching methods: 

Live teaching and hands-on practice.

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: 

Laptop/tablet with stable internet connection, microphone, webcam and Microsoft Teams.

Additional information: 

This course is offered in cooperation with Imperial College London. Please book your place through DocGS and not through the Imperial College London website.

Category: 
Fachübergreifende Veranstaltung
Event type: 
Seminar/Workshop
Organizer: 
Graduate School Geschäftsstelle
Responsibility for event: 
Geteilte Verantwortung
Role of graduate center: 
Imperial College London
Format: 
Digital/Online
Course Language: 
EN
Course Capacity (Max): 
7
Course capacity (Min): 
1
Duration in hours: 
3
Financial contribution: 
15 Euro
Trainer: 
Dr. John Pinney

Dr. John Pinney is Royal Society University Research Fellow in the Theoretical Systems Biology group at Imperial College London. More info here.