13 August 2021
Behavioral Data Analysis in R
Behavioral Data Analysis in R is one of the courses of the CEBEX Summer School on Behavioral Sciences 2021. You can attend face-to-face in Prague or online. The course takes place from 9 to 13 August.
You can choose if you attend in face-to-face or online form. In case you have paid face-to-face form, and the coronavirus situation will not allow us to run the summer school in this form, or if the restrictions will not allow you to come, you attend the summer school online and we refund the amount you paid extra for the face-to-face form.
The course is aimed at helping students to understand the whole data life cycle and the many aspects of the data computing environment. It builds upon the knowledge from the ‘Introduction to R’ course and focuses on how to use R during the whole data life-cycle. We will show you how to prepare data, how to do exploratory visualization and analysis, how to conducts statistical tests and also how to visualize the results. And above all, how these steps interact and why they usually cannot stand without each other. You can be sure that after finishing the track you will see data-intensive research as less complicated and quicker than ever before.
- Control Structures
- Data Loading
- Data Preprocessing
- Data Merging
- Data Cleaning
- Exploratory Analysis
- Visualizations in Ggplot
- Introduction to Statistics
- Analysis of Dependence
- Comparing Two Means
- Comparing Mutliple Means
- Reporting Results
- Combining it All Together
FIND MORE ON OUR WEBSITE
After successful completion of the course, you get 4 ECTS. Students have to get in total at least 60% of all available points which are being awarded for the following activities:
- attend all lectures (20 hrs. of WL / 1 pt. per hour, 20 in total)
- submit 4 homeworks (8 hrs. of WL / 2 pts. per homework, 8 in total)
- final exam (21 hrs. of WL / 22 pts.)
- final project (55 hrs. of WL / 50 pts.)
EUR 540: Students
EUR 590: Regular
These are face-to-face participation fees. Online participation fees are 440€ (students) and 490€ (regular).