Introduction to R : Data Analysis and Visualisation

Walid Gharib

Schedule

DAY	topic
DAY1	Introduction - data manipulation - graphical plotting
-	-
DAY2	Exploratory data analysis and statistical hypothesis testing
-	-
DAY3	Efficient data handling with tidying and transformation (intermediate)

Learning objectives

At the end of the course, participants should become comfortable with the R environment and be able to read, understand and write R commands, allowing them to implement and interpret a workflow for their data analysis:

• interact with the R environment
  
• import and summarize data
  
• explore data with graphs
  
• test statistical hypothesis

Useful Information

• Slides - No slides except for visualisation introduction (you will find the link on this page along the way)
• Unibe Wifi - Connect
• Communication/questions : Etherpad
• Stickers

Practical info

• Internet
  
• Sticky notes
  
• Etherpad link
• R and R-studio installed ??

Feedback:

please fill in the feedback on day3 here