Portal für Frauen in Wissenschaft und Technik
in Baden-Württemberg

IF24-H03 Programming with R for Statistics and Data Analysis

This workshop covers introduces participants to the free programming language R for data analysis and statistics. It covers R basics, data types, data importation, data exploration and visualization using the programming environment R. Participants learn essential commands, writing conditions and iterations, writing functions, dplyr for data manipulation, ggplot2 for visualization, basic model fitting and practical application via case studies. By the course end, participants have acquired skills to perform statistical analysis, visualize data and fit simple models using R. No previous knowledge of R is required.

Credit Points: Yes, possible. (with grading)

Requirements: Bring your own Laptop.

Fanny Empacher

Fanny Empacher

Fanny Empacher works as a postdoctoral researcher at the University of St Andrews where she completed her PhD in Ecological Statistics in 2023. Her research focusses on fitting methods for complex Bayesian state-space models, in particular using Sequential Monte Carlo techniques for population dynamics models. Prior to her doctoral studies, she obtained a MSc in Applied Statistics and Data Mining (University of St Andrews), a BSc in Mathematics and a first state exam in Mathematics and Music (both University of Stuttgart).
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Bitte wähle ein Ticket

Ticket-Typ Preis Plätze
Studentin Early Bird
für Studentinnen und Nichterwerbstätige | Early Bird bis 15.06.
40,00 €
Berufstätige Early Bird
Early Bird bis 15.06.
270,00 €
Berufstätige ermäßigt Early Bird
Ermäßigung von 50% für TZ-Beschäftigte (bis 50% Umfang) | Early Bird bis 15.06.
135,00 €

Du musst dich anmelden oder registrieren, um eine Buchung vornehmen zu können.

30. Juli 2024 – 1. August 2024
Technische Fakultät – Albert-Ludwigs-Universität Freiburg
Georges-Köhler-Allee 101, Freiburg, 79110

Genaue Kurszeiten

Di 30.07.
10:00 – 11:30 Uhr
14:00 – 15:30 Uhr
16:00 – 17:30 Uhr

Mi 31.07.
8:30 – 10:00 Uhr
10:30 – 12:00 Uhr
14:00 – 15:30 Uhr

Do 01.08.
8:30 – 10:00 Uhr
10:30 – 12:00 Uhr