Statistik mit R

--- **Overview of the Course:** The course offers a comprehensive introduction to R, a programming language widely used for statistical computing and graphics. It covers the fundamental concepts and practical applications of R in a structured and systematic manner. The course is well-received among learners who are new to R or those seeking to deepen their understanding of statistical analysis through this platform. **Pros:** - **Clear and Comprehensive Introduction:** The course provides a clear and understandable introduction to the basics of R, suitable for beginners. - **Practical Approach:** Learners are encouraged to work with R in real-life scenarios using RStudio, enhancing the learning experience. - **Engaging Content:** Video tutorials allow learners to follow along at their own pace and revisit sections as needed. - **Didactic Structure:** The course is well-structured, guiding students from basic to more advanced concepts in a logical progression. - **Supportive Materials:** Some learners appreciate the additional resources and the community support provided throughout the course. - **Application Orientation:** The course emphasizes practical application, which is valuable for those who will use R in their professional work. **Cons:** - **Intensity:** The course can be mentally demanding, especially for those without prior programming knowledge or experience with similar tools like HTML and Dreamweaver. - **Volume of Information:** Some learners find the amount of new information overwhelming and would prefer a more gradual introduction over a shorter period. - **Materials and Consistency:** There is a call for more handouts, consistent availability of code scripts across lessons, and a desire for the course to maintain a consistent focus rather than integrating multiple courses into one. - **Integration of Other Courses:** The integration of other courses within the R course can be confusing and may dilute the focus on learning R itself. **Learner Experiences:** - **Positive Feedback:** Many learners find the course suitable for beginners in R, with a good balance between theoretical understanding and practical application. - **Demand for Early Engagement:** Some learners suggest starting with R at the beginning of the semester or earlier to avoid feeling overloaded. - **Desire for Additional Resources:** A recurring suggestion is for more handouts and code scripts to be provided, making it easier for learners to follow along and reference material. - **Expectations for Consistency:** Learners express a preference for the course to maintain a consistent approach throughout, rather than incorporating diverse teaching methods and additional courses. **Summary:** The course is an effective introduction to R for those with no prior programming experience, especially if they are interested in statistical analysis. It provides a solid foundation for further self-directed learning and practical application. For the best learning experience, it may be beneficial to approach the course with some preparation or by starting earlier to manage the volume of new information. Additionally, consistent and comprehensive materials throughout the course could enhance the educational journey for learners.