Aug 08, 2018
Excellent tutorials, great labs and fun exercises - visualization is one of the most satisfying things about data science, and it is no surprise that this course is very enjoyable!
Mar 03, 2019
The best course in this specialization, so far. Great balance between theory and practice. Interesting and demanding exercises and assignment. Theory explained in friendly way.
By Karim C N•
May 29, 2019
It was a good course that follows steps clearly and effectively. However, I cannot rate it higher that 2 stars for a very important reasons: Big Parts of the Final peer-reviewed assignment are not even covered in the course!!! I had to scour the internet and find my own solutions (and many others clearly had the same problem as seen in the discussions section). This is a big problem and needs to be addressed as we should be tested on the material actually learnt!
Also, almost every video repeats how the data is 'cleaned' which is good once or twice, but unnecessary the 15th time.
By Karel H•
May 24, 2019
Final exam was frustrating. It took longer to complete than the rest of the course combined. Questions were included that were not part of the course including the need to reset keys. Peer review was almost impossible since I could not read the tiny screen shots very well. Audio volume was inconsistent ..please edit the video sound better.
By Dan S N•
Apr 23, 2019
Data could in most cases not be loaded, making the labs useless. Also, the videos have unnecessarily much redundancy. Really didn't learn much from this course.
By Sisir K•
Apr 24, 2019
A lot of functions and lines of code weren't explained they were just left to be figured out by the learner. While some lines of code could be understood without much explanation, others were too complex for people new to programming (which most people taking this course are).
By Andrew C•
Apr 20, 2019
The course labs had broken links which caused issues with several of the students. The quizzes also had several question choices where two of the answer choices were the exact same, leaving the student to guess. Not to be so critical, although the datacamp classes are much more effective when it comes to learning.
By Jianzhi W•
Apr 03, 2019
worst instructor I have ever seen,
very few instruction but the assignment is extremely hard!!
By Stephen P•
Feb 22, 2019
This course was really well designed. I've taken the preceding courses and I really connected with the format of this course. I liked how the labs really explored different options and played around with the code in a variety of ways to show a more complete picture of what the code instances can do. I especially liked how sometimes the labs would purposely use incorrect code which users might enter, and then explain why that code didn't apply or work for given scenarios.
I liked how the videos (specifically regarding Canada dataset) would repeat the cleansing of the data and introduction of the data for each type of plot because it really reinforced the concept, however it could have been better if the corresponding code were displayed alongside its effects instead of just showing its effects because then it would drive home the code and the concept instead of just the concept.
I also liked the fact that the final project asked students to make connections beyond the individual class scope, as a way of teaching that mimics real-world projects and learning.
By Iakov L•
Jan 24, 2019
I did not like that some assignments do no rely on the material that was given in the course. For example, data visualisation with Artist layer was not covered in details in the course and you have to spend tons of time on Internet digging out how to implement that. This is a waste of time, I need a course that gives me complete and structured info, not a course that sends me out to explore the Internet.
By Roger S•
Dec 29, 2018
The course material is not sufficient for completing the final graded assignment. It required many hours of internet research to collect the details necessary for the final graded assignment.
By Baidi W•
Jun 10, 2019
I would give zero if the system has. An empty course that you almost cannot learn anything especially when you're going to practice.
Jun 07, 2019
No mid-lecture quizzes
End of section quizzes test rote memorization
Narration is poorly done
By Tom M•
Jun 05, 2019
The final assessment was not covered in class, and it was very difficult to figure out how to do.
By Ismael S•
Jun 04, 2019
The course is very inconsistent, it repeats the same one minute in all of the videos, when reviewing the dataframe. Many times some things are asked without providing previous explanation, and the final assignment is also an example, I had to search all over internet to resolve it, because I couldn't find any reference in the content provided.
Apr 11, 2019
this course should come before data analysis with python
By Nils W•
Mar 26, 2019
It is a strange course and the worst in this specialisation so far. In one week 50% of the video is how the data is prepared. That would be ok if it won´t be the same video snippet 4 times. Also the relation of video vs. reading is 1 to 6. In one week is only 6 minuites of Video and about 1 h of ungraded assignment.
The final assignment isn´t solvable with the given code or examples. It is ok that one had to google for code snippets, but this is far too much.
By Sarra A•
Jan 26, 2019
I appreciate that the videos were done in a human's voice and not a robot. It helps me focus to hear the natural pace and emphasis on certain points. Also, the labs were very clear (thank you). There was clear guidance/notes through steps which is very helpful because this is a new thing for me. The final was also fair and comprehensive. I have a long way to go but this class was very well done.
By Yuanyuan J•
Jan 23, 2019
The course materials are poorly structured. Labs are not well-designed and not friendly to students with little experience. This is not a very effective course.
By Sarah s•
Jan 14, 2019
This course was nice but there were extra stressors that weren't included in the course.
By Toan T L•
Oct 21, 2018
This course is really good. The instructor did a great job introducing common graphs, charts and map techniques. What they look like. How, where and when to use them.
The lab is time-intensive which give chance to thoroughly practice the technique. One more plus point is the lab uses real data and guide you through the step of retrieving, cleaning, analyzing, visualizing and mapping.
By Deepratna A•
Jun 24, 2019
One of the most descriptive courses on Data Viz with python.
By Robert T•
Jun 23, 2019
Not all of the tutorials rendered correctly. Information was good. Would have preferred more questions throughout the videos.
By Pouyan K•
Jun 23, 2019
The final exam is really vague and not organized. It would be a much better course if the instructor made exam in the JupyterLab like other courses. Also, the videos are not very comprehensive.
By Kwesi O•
Jun 22, 2019
Learnt a lot and it was very challenging too. thank you!
By Clinton D R•
Jun 21, 2019
so far ive spent the most time on this course . This course has around the shortest estimated time to complete. The number of discussions in week 3 is around 5 times more than the Python for Data Analysis course.... why we may ask?
The plotting of views are overly dependent on syntax. The information gain in trying to figure out that syntax is negative, i.e. up until this course i was enjoying my first experience with python. 12 hours later, i cant get a chloropleth chart to work because something as minor as column orders were incorrect. Very frustrating!
That said, perhaps im spoilt. Im a tableau user and its fairly straightforward to do data visualisation. It is rewarding. and flexible.
The bar is thus set, and so far data viz in python is frustrating.
By Thierry A•
Jun 20, 2019
Great class. Learned about data visualization, data clean up, and more. Challenging but worth it.