Complete Data Wrangling & Data Visualisation In R

📚 **Course Overview:** "**Global Course Rating:** 4.40/5" The course has received a high level of approval from recent reviewers, with an overwhelming majority of positive feedback. It is noted as a very practical course in R, with a strong emphasis on data wrangling and visualization. The structure of the course is commended for its well-organized approach to teaching these skills. **Pros:** - 🎓 **Comprehensive Coverage:** Various key concepts are covered in depth, making it a valuable resource for both novice and experienced R users. - 🚀 **Practical Application:** The course is highly practical, offering hands-on experience with the latest information on R, which is directly applicable to real-world data science tasks. - 📊 **Focus on ggplot2:** The treatment given to ggplot2 is particularly notable, with many reviewers appreciating this focus. - 🌍 **Geographic Visualizations:** Several users have suggested including more geographic visualization examples, recognizing the instructor's background as an ecologist. - 🧠 **Learning Opportunities:** The course structure is well-arranged and lectures are delivered in a way that is easy to learn from. - ✨ **Engaging Instructor:** The instructor's knowledge of the subject is described as "par excellence" with a presentation style that is both engaging and superb. **Cons:** - 🖥️ **Technical Clarity:** Some reviewers pointed out the need for clearer explanations, particularly when it comes to setting up RStudio or explaining R functions. - 🛠️ **Advanced Studies:** A few users have expressed a desire for more advanced studies, especially on how to connect Data Wrangling & Data Visualisation in R. - 🤫 **Instruction Clarity:** The presentation of certain topics could be improved to avoid confusion due to cluttered screens or unclear demonstrations. - ⏰ **Interactive Visualization:** Users have suggested adding a section on interactive visualization to keep up with the latest trends in data visualization. - 📬 **Q&A Engagement:** Some concerns were raised about unsatisfactory explanations provided by the instructor during lectures and Q&A sessions. **Additional Notes:** - ✅ **Recommendation:** The course is highly recommended for those looking to enhance their data wrangling, data preprocessing, and data visualization skills in R. - 🔍 **Course Content:** The content covered in the course is precise and to the point, with a clear and engaging delivery by the instructor. - 🤔 **Engagement Questions:** It's important for the instructor to engage more with the audience during Q&A sessions to ensure all doubts are clarified. **Final Verdict:** This course is an enriching experience for data professionals who wish to master data wrangling and visualization in R. The positive feedback overwhelmingly outweighs the minor drawbacks, making it a valuable investment for those looking to improve their practical data science skills with R. With its focus on real-world applications, engaging instructor, and well-structured content, this course stands as an excellent choice for professional development in data science.