After completion of the course, participants will be able to:
• Do complex data manipulation with modern libraries (dplyr, tidyr, …)
• Generate advanced data visualizations (ggplot & plotly)
• Creating simple applications with reactive programming (shiny)
• Handle expressions & evaluation
• Import/export different file formats
• Debugging & Benchmarking
Bringing your own data is highly encouraged but not required.
Target group: Biologists / Neuroscientists who want to analyze and visualize their data
Prerequisites: Basics in R syntax and datatypes (lists, vectors, dataframes)
Evaluation: Participation
Teaching format: Workshop
ECTS: 3 Year: 2020
Track segment(s):
BIO-QUANT Biology - Quantitative and Computational Methods in Biology
Teacher(s):
Julian Stopp Saren Tasciyan
Teaching assistant(s):
If you want to enroll to this course, please click: REGISTER
- Teacher: Julian Stopp
- Teacher: Saren TASCIYAN