its actually a good course as it starts from fundamentals of visualization to the data visualization,the assignments this course provide are exciting and full of knowledge that you learn in course ..
I am going for the specialization and I know this is just the second course in it and I haven't even seen the further courses yet, but this is already my most favourite course in the specialization.
創建者 Bruce H•
The concept is good: introduce the theory of information visualization and introduce how to make charts with Python and matplotlib. Unfortunately the materials are deficient for the programming part. There aren't nearly enough practice exercises to help you learn matplotlib. The previous course in this specialization (intro to data science in python) by comparison has many more guided practice exercises, and I am disappointed that this course does not live up to the standard set by the first course. If you are taking the complete specialization, as I am, then I guess it's worth it and I hope the next courses in the series have more material.
創建者 Charles R•
The course teaches you about important plotting and design skills but the peer reviews and lack of clarity for the assignments makes this class less useful than it could be. In the previous class the discussion forums were an invaluable resource but in this class they are full of spam requests for a peer reviews which makes finding useful information more difficult than it should be.
創建者 Filippo R•
The rate lectures/assignment is disappointingly low, a lot of time goes only to find data available online and to find questions to answer. In my work I have plenty of opportunity to apply data science and very little knowledge on how to. This course gave me more assignments and not so much tools.
創建者 Alexandre G•
This course only scratches the service of the subject and asks the learner to learn almost everything by himself searching the Internet. The lecture content must be expanded significantly in order to give enough knowledge for the programming assignments.
創建者 Georgii B•
Peer-grading is horrible. Nobody reads assignments or checks your work - they just give top grade for every category and leave "." as a comment, all to breeze through the mandatory peer grading. This certificate has very low value.
創建者 Steven O•
I think there there is too much time given to the esoteric of what makes plots pretty rather than the nuts and bolts of how to do it and the limitations of using Pandas and Matplotlib for real world data
創建者 Linda L•
I am not too crazy over the peer review assignments plus the course was hard to follow
創建者 2331_GRISHMA D•
It was too fast. The jump from basic to advance was too quick
創建者 Zhongtian Y•
too little explanation of the code
創建者 Rachit G•
The content is very limited
創建者 Xing W•
Not well organized.
創建者 Kaya Ö•
創建者 Adam S•
The explanations are horrible. You either see the profesor talking which is difficult to grasp when you don't really see the code. Once you see the code it goes too fast with hardly no explanation. I understand the point to encourage students to learn how to get extra information online, but this is just too much. 95% of the knowledge I'm getting is not from the course. Waste of time and money.
創建者 Devansh K•
Awful course. What a waste of time! No proper explanation of the different functions used. Half the time, I'm confused. This is the pattern that Prof. Brooks follows. I'm done. I'm not enrolling in any more courses offered by him.
創建者 jun L•
The course does provide a good guideline on evaluate a good chart. However, as a fundamental course of introduce plot in python, I don't think the course is well structured. I can't say I learn too much from this course.
Too many jargon and all vedios is useless, he makes me feel like he is trying to show his English and Knowledge.
創建者 Freya V•
Assignments are not clear at all.
Things covered in videos are not enough to complete course assignments.
創建者 Avneesh D•
Ive been locked out of the course. Unable to reset my deadlines.
創建者 Randal P•
Hate the community evaluation process.
創建者 Rohan S•