SAS Predictive Modeling - (3 in 1) with 3 live Case Studies

--- **Overall Course Rating:** 3.60 **Course Review Synthesis:** **Pros:** - **Comprehensive Content:** The course provides a comprehensive overview of predictive modeling, particularly beneficial for intermediate SAS users. - **Clear Explanations:** The concepts are covered in a clear and step-by-step manner, making it easier for learners to understand complex topics. - **Instructor's Expertise:** The instructor offers valuable insights through detailed code comments and helps clarify doubts promptly. - **Real-World Application:** The course includes practical and didactic examples of various models used in Data Science, which are highly applicable in the field. - **Flexibility for Learners:** The option to slow down the audio aids learners who might have difficulties with the instructor's accent or speaking pace. - **High-Quality Instruction:** Despite some technical issues like background noise and poor sound quality, the overall presentation is considered very good. - **Supportive Learning Environment:** Learners report that the instructor is very helpful and responsive to questions. **Cons:** - **Technical Difficulties:** Some learners experienced challenges due to strong accents, background noise, and poor sound quality, which may hinder understanding for some users. - **Sound Quality Concerns:** The need to adjust audio settings to understand the instructor indicates an area for improvement in terms of production quality. - **Technical Support Issues:** One learner encountered a problem where downloaded SAS files did not show any data, and there seemed to be limited support to resolve such queries. **Additional Notes:** - The course is recommended for intermediate level users who are familiar with SAS and looking to enhance their predictive modeling skills. - Learners appreciate the depth of explanation provided by the instructor, particularly regarding the interpretation of outputs. - It is noted that while technical issues can be a barrier, they do not significantly detract from the overall value of the course content. - The course's approach to time series forecasting within predictive modeling is highlighted as an area of strength. **Final Verdict:** This course on Predictive Modeling using SAS is **highly recommended for intermediate users**, with the understanding that some technical challenges may be present. The quality of instruction and the depth of content provided are significant strengths, making it a valuable resource for those looking to deepen their understanding of predictive modeling and data science applications. It is suggested that the platform address the technical issues to enhance the learning experience for all users.