Build a Streaming Twitter Filter with Python and Redis

**Overall Course Rating:** 4.55/5 **_Review Synthesis:__ **Pros:** - **Informative Content:** The course provides a wealth of knowledge and great information, particularly for a free course. (Recent Review #2) - **Conceptual Understanding:** Ty's teaching style is thorough and immersive, helping students understand the thought process behind the concepts and the practical applications, such as sentiment analysis and user interface mocking up. (Recent Review #3) - **Technical Detail:** The course offers a detailed look at using the Twitter API, with a focus on technical aspects that are valuable for learning how to filter data from Twitter effectively. (Recent Review #3) - **Pace and Synopsis:** The content is presented in a concise manner, with a synopsis that is both engaging and informative. This makes it easy to follow along and absorb the information. (Recent Review #4) - **Real-World Application:** The course seems to be practical and provides a baseline for students to start with, which can be extremely beneficial for those looking to apply Twitter data filtering in real-world scenarios. (Recent Review #3) **Cons:** - **Hands-On Experience Missing:** One reviewer expressed disappointment that there is no coding alongside the instructor, as the code is only available on GitHub and needs to be downloaded. This hands-on experience could be crucial for learners to fully grasp the concepts being taught. (Recent Review #1) - **Linux Assumption:** The course seems to assume that all students are familiar with Linux, which might make it less accessible to those who are not. (Recent Review #2) - **Lack of Specificity:** Some parts of the course could be more detailed in terms of calling out specific steps or providing more explicit guidance. This could enhance engagement and understanding for learners who may be new to the subject matter. (Recent Review #3) - **Engagement:** The teaching style, while thorough, was described as not particularly engaging for at least one student. (Recent Review #3) **Additional Notes:** - **Accessibility of Code:** It's important for students to have access to the code used in the course, and it would be beneficial if the instructor could demonstrate coding live or provide more in-depth explanations alongside the pre-provided code. (Recent Review #1) - **Assumption of Prior Knowledge:** The course should consider providing a primer on Linux basics or assuming less prior knowledge to ensure that all students can follow along and benefit from the course content. (Recent Review #2) - **Overall Course Experience:** Despite some areas for improvement, the course is overall well-received and considered very good and helpful by recent reviewers. (Recent Reviews #2, #3, #4) **Final Thoughts:** This course offers a substantial amount of valuable information, especially for those who are already somewhat familiar with Linux and looking to leverage the Twitter API for data filtering purposes. The course's strength lies in its comprehensive coverage of the topic and the depth of technical detail provided. However, for a more engaging and hands-on learning experience, the instructor could consider incorporating live coding examples and addressing the assumption of prior knowledge with Linux systems. With these adjustments, the course has the potential to be even more effective and enjoyable for a wider range of students.