Data Analysis Bootcamp™ 21 Real World Case Studies (Udemy.com)

Good pace. I think maybe some more phrasing to show when what they are showing is not the best way, rather that it will lead to the latest-and-greatest, fastest way. That way, I don't rush to take unnecessary notes before the big reveal. This instructor does this way better than most, though.

In this course i have to lot of things to learn about Data Analysis and with so many of case study help me out to solve the issues and learn more things about this.

I think the course is very well. Firstly, when i bought this course, i thought google data studio and python would be related. It is not related. Each topic is diffirent. Secondly, how to use python api for data visualization could be shown in tools like facebook, google. Finally, I like last topic. Because, flourish has been explained. The data is beautifully visualized. I'm wondering this, In real-time applications, how is the data captured instantly and the data visualization process is done there? During the course, constant data analysis was made.

Excellent course. Super complete. After some previous courses, and models, I could reinforce my understanding in several topics thanks to their explenaitions during lectures. Also excellent materials provided such as slides ando python notebooks to explore and make our own experience

Good course, covers a lot of concepts. Could be better organized, as it seems to be an assembly of videos from other course. Could say the same with the videos themselves with the instructor getting lost at points, but overall quite good. Just a side note, maybe try less wild scrolling, makes it hard to watch and try to integrate some quizzes and more homework

The course is really indepth so far. Highly recommended. If you are looking to start with quick basics, then dial in deep into data analytics, this is the course for you.

The course content, teacher, and presentation method are highly promising so far. I am happy that I chose this course. Quite eager to proceed.

There are good prepared notes ready to use. I wish there was more of educating involved. And it would be nice to have projects integrated through the whole course rather than all projects at the end. As for projects I expected to see the logical solution to the problem, but what I saw was the prepared notes without any conclusion.

Lot of knowledge wrapped into few case studies, which are very beginner friendly and can be easily applied to other datasets. However, if you took Rajeev's other course "DataScience and DeepLearning for Business", you will find some repetition of the case studies, However Number of case studies which are new is much more than the repeated ones. Note to Rajeev: I think your "Case Study Note" appearning in Case Study 1, can be moved to the beginning of the course, as i found the relevance of it, in the very beginning itself. and Most Importantly, Thank you very much, for simplifying a complicated subject and making it beginner friendly, without overwhelming them.

I am on 18th video yet and so far it has been going amazingly well! Very satisfied. Although, I must say that I had prior experience of using Pandas with Python it may be very much possible that I am able to fully understand it. For newbies it could be a bit fast but nothing that can't be googled to overcome conceptual difficulties.