Data Science: Concepts and Practice

The "RapidMiner Data Science Use Cases" textbook is receiving generally positive reviews from customers, specifically from those using it as a resource for predictive analytics. Users have noted that the book covers all the necessary aspects of the RapidMiner application, making it a valuable tool for understanding data science concepts. While some users found the book to be a good starting point for learning data science, others felt that it may not be comprehensive enough for those looking for more in-depth knowledge in the field. One reviewer highlighted the importance of color in illustrations, suggesting that the book's use of grayscale images could be improved. However, despite this minor drawback, many users found the content of the book to be informative and practical for their needs. The book covers various data science models and emphasizes the four key skills required for effective analytics: business understanding, data understanding, software understanding, and data science understanding. Overall, the "RapidMiner Data Science Use Cases" textbook is recommended for individuals seeking an introduction to data science, especially for students and professionals who are not aiming to specialize in the field. The book's coverage of RapidMiner and data science models, combined with its straightforward and comprehensive approach, make it a worthwhile investment for those looking to enhance their understanding of predictive analytics. **