abcd581262671's honest review, [Side Project After Work] Big Data Analysis Certification Practical Exam (Type 1, 2, 3) course

I'm currently enrolled in a data-related major and completed a 4-month AI bootcamp. I've never learned machine learning at school, and since I relied on GPT during the bootcamp, I consider myself a 'novice who's only heard a lot' and purchased this course for certification. I haven't finished the entire course yet and am writing this midway through, so I'm not sure how my opinion might change. This isn't to say the materials or lectures are terrible. It's just that there are many areas that seem lacking to me. If you don't mind the usual speaking style or pace, aren't sensitive to details, understand quickly, or can review well on your own, this probably won't matter. Overall review == You don't seem to explain things well. The reviews seem much better compared to the actual teaching quality. I am sensitive to sound, but am I the only one who feels this way? Whether you're uploading at 1.1x speed, speaking too fast, or have poor pronunciation, you trail off at the end of sentences and then suddenly speed up when moving to the next point, which is very uncomfortable. You seem to explain things hastily. Your speaking pace varies dramatically between fast and slow. Are you editing out silent pauses? The more I listen to the lectures, the more breathless and suffocated I feel. Like a radio advertisement, the explanations continue without any breathing space. At 1x speed, many parts fly by too quickly to understand, but at 0.9x speed, there are uncomfortable issues like parts becoming too slow or audio distortion, making it too frustrating to listen. Even with content I've written about before, listening to the lecture makes it harder to organize in my head, and the lecture content just passes through my ears. Even when I try to focus and listen properly, the pace is inconsistent, there's too much information, and it feels like you're just reciting what you know rather than explaining for my benefit. It seems like you're recording in real-time rather than practicing and then filming. I wish you would prepare systematically and explain accordingly. As everyone can see from the machine learning block videos on the desk, there are too many unnecessary comments like 'let me move this, let me bring this back, let me do this like this' that aren't related to the lesson. These seem like things you don't need to say, but you mention every single one. This distracts attention and breaks the flow of content, completely breaking concentration. Same with other Colab videos. Using hands-on demonstrations instead of PPT actually seems to have lowered the quality. From someone who already knows the content, it felt like you were making it more difficult to explain. Beginners have no idea what you're talking about. I think you need to organize the content before speaking. Please make Colab names match the curriculum names or maintain consistent formatting. These details falling short makes the lectures look even worse. Explanations should fully acknowledge that others are beginners and be tailored to their perspective, but this isn't even good for review. In my view, it's too fast and chaotic for beginners - you'd probably need to go through it about 3 times. The current lectures are honestly just you explaining things alone, with a structure where students must read and understand on their own, and memorize by themselves. You said not to worry because you repeat things multiple times, but the more I listen, the more worried I become. Wait, I don't understand anything and the lecture is over? Should I watch the lecture again? Continuing to listen is tiring and makes me sleepy, and when will I memorize? It just creates complicated feelings. I think the reason is the explanation method + details. You explain with method A, then switch to method B, explain point 1, then additionally explain point 2... Could you please explain step by step in order? You should reorganize the flow of how to explain things in your head before filming. Try explaining like this... Main concept explanation - Basic code and basic results - Problem explanation - Code applied to the problem - e.g.) One-hot encoding is used in these situations, done like this. - The basic code looks like this and means this. The results come out like this. - So, with this actual data and this problem? - The code I just explained would change like this. (Explain the changed code parts) - Since I said one-hot encoding does this, the code results would come out like this, right? - Looking at these parts, you can see how, why, and what changed due to this. Do you understand what I mean...? I usually don't bother writing reviews like this and just move on. But I'm really frustrated. Other people will purchase this later too, and I hope they don't waste their money. I'm also writing this long review because I feel bad. If you see this review and still think it's just one person's opinion, that you explain well, and you're too busy to handle minor details, etc. That would be exactly what bothers me. Please take a few of your videos and review them again. Consider whether someone who knows nothing could understand this immediately, organize it in their head, and follow along well when listening to this.

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