Is applied data science with python useful?

Doing extra courses out of your course or curriculum is really beneficial to give you an advantage over the crowd. It is very important that you take time and do something beyond regular studies. This not only helps in upskilling but also helps to build a habit of continuous learning. One of such courses is the applied data science course with python. 

You know there are so many online courses in the market and with this abundance of courses, there are also so many irrelevant and useless courses that are not even worth your time. I am sure you must have sometimes come across such a useless course. That’s why it is very important that we look out for reviews of the other course that we are thinking of trying out. 

See, to measure the worth of a course, it is very important that the mode of instruction is in simple language and terms, that make it easier to understand and comprehend. One of the other important factors is the instructor, and the good thing about Coursera is that all the courses that are available there are either from renowned universities or some big companies. So we have one assurance that we are in good hands after the enrollment. 

This course is also created by one of those renowned universities which are Michigan University, this university is well known for its data science programs. So first of all, let's talk about the instructors, so the instructors of this course are Christopher Brooks and Kevyn Collins who are assistant professors and associate professors at Michigan respectively, so we are getting preached by a good teacher right? 

If we look at what others have to say about this, then the reviews are also pretty much impressive, there are around 200,000 people that have enrolled in this course and the average rating is around 4.5 out of 5, so in my verdict, I find this course pretty much a good one to opt for. 

I evaluate the course on the two factors, which are the instructor and ratings, what are your evaluation criteria?