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.
By Kumar I•
Compared to the first course in this series, I found this one not so challenging. The final project was very loose (I understand that the instructors wanted to give the feel of a real research). The first assignment was very superficial. As much as Cairo's principles are important, I feel devoting an entire assignment to that is justified. The second and third were relatively straight-forward, but that was perhaps the saving grace.
Wish the course spent time in dwelling on complex visualizations.
By Liam L•
Too little teaching and too much googling. The questions are poorly defined and you end up using Stacker and the discussion forums to really understand what they are asking. I put the time in and got the answers but would have liked them to explain whats going on a bit more rather and give a bit of guidance. Also very expensive, compared to other Pandas and Matplotlib courses.
By Shuang S•
It taught some visualization that is not use very often and sometimes I feel I couldn't catch up the knowledge, so if you are a beginner, skip this class first.
By Yaron K•
Disappointing. Matplotlib is built from layers of interacting functionality, and this course doesn't create a structure to understand it. Unclear and confusing. Note however that the following courses in the specialization show matplotlib code but don't necessitate writing it, so you can do them (at most auditing this course before) and only return to this course if you want a specialization certificate.
By Rohan G•
This course is absolutely terrible, and in no way self-sufficient. The professor basically tells you what can be done using matplotlib, give you a cursory example and leaves you all on your own to understand what actually happened by referring to sources such as google or stack overflow.
By 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.
By Abhimanyu S•
Nice assignments but spent most of my time on Google rather than utilizing my notes made from the video lectures. That kinda destroys the purpose of taking an online course in the first place.
By Harshad H•
Too slow grading and a very inefficient process.
By Sophia C•
Not very well done
By Yue Z•
By Leonid I•
Overall, the course is great and definitely deserves 5-star rating.
However, it starts quite slow and in my opinion first few lectures discuss irrelevant topics, like minimalism of presentation. The problem is that a person can't grasp them without experience...
For example, several videos discuss idea of Edward Tufte. I understand that CS and mathematical statistics are the background of the instructor, but really, Tufte had only repeated well-known basics. Indeed, it was Leonardo da Vinci who first said that "simplicity is the ultimate sophistication". He was followed by Antoine de Saint Exupéry with "It seems that perfection is attained not when there is nothing more to add, but when there is nothing more to remove" and the KISS principle of Kelly Johnson of Lockheed Martin Skunk Works.
Perhaps, for the authors of the course software engineering is closer: https://wiki.archlinux.org/index.php/Arch_Linux#Principles ...
By Aino J•
I found the course very rewarding, and I was surprised how easy it is to make nice looking graphs in python. Extra points to teachers for putting substantial emphasis on good design and aesthetics.
You can pass the course without making any animations or interactive graphics; however, I found those assignments most rewarding so I recommend you give them a try.
Workload-wise, this course took me about double the amount indicated on the course website, but it would have taken considerably less time if I had set the bar lower for myself.
As with Course 1 of this specialisation, the lectures only give an introduction to the topics and you'll have to look up matplotlib documentation and answers from stackoverflow to complete the assignments. I found this course less challenging than the first one (but still challenging enough for sure!).
By Ilya R•
Perfect, insightful, deep, challenging! I love the way prof. Christofer Brooks teach Data Science. Interactive IPython notebooks enables creativity to implement lecture notes right in the browser during watching lections.
I enrolled to "Applied Plotting, Charting & Data Representation in Python" course right after finishing the first "Python for Data Science" module. This is one of the best experiencies I got during my online education.
There are a very active forum discussions on this course, people and course staff are helpful.
Next, I want to enroll next courses of the Specialization.
Also I would like to say "Thank you" to course team and Coursera for the financial aid opportunity.
By Vinayak N•
This course helped me understand the basics of Data Visualization unlike any other internet resourses.
It starts with one module completely dedicated to the theory behind data visualization and how to present data in a genuinely insightful manner and then delves into matplotlib and eventually seaborn to implement the same.
I enjoyed Dr. Brook's teaching and the exercises. With a solid pedagogy, challenging exercises (the last one is especially fun and gives you a feel for the subject) and insightful lectures it's a great course for people looking to gain knowledge about basics of python data visualization.
By Han C•
I really enjoyed this course. As a python novice I had to spend lots of times in googling commands for arguments, options, examples. Well I see many peoples are only relying on course materials but the considering this course as a motivator. I often felt frustrations and pressure, but not tried to be defeated by myself. Hope you guys find your own way to get it done. I still see lots of thing to learn, but I am not worried. This is only the beginning. Course is not a magic pill, it just gives a start point. As a start point, this is really nice cource to take.
By Hari G S•
This is an excellent course on visualization in Python. The videos are brief and covers just the right amount of information. Reading resources and assignments are carefully chosen and perfectly complements what we've learned in the lectures. Assignments, most of the time, require us to read the matplotlib documentation but is easily understandable once gone through the lectures. Assignments are not very easy/simple, but completing it with real data and help from documentation, stack overflow and discussion forums is deeply satisfying.
By David C•
This was an interesting course. The professor was excellent and the practical exercises, in particular, were beneficial in learning the material. My only complaint would be that a lot more time in the exercises was spent formatting and manipulating Pandas dataframes than applying the matplotlib libraries to produce charts and graphs of the data. I would have preferred to spend more time experimenting and using the graphics libraries and less on trying to manipulate data to get it into formats acceptable for grading.
By Sabu J•
U-M and Coursera together brought a great and very interesting course. Great that the learners get exposed to various aspects of DS, be it the concepts , trends etc. A great platform for participants to learn together and experiment. Course introduces what is relevant in the industry and provide multiple opportunities to apply the learning. On top that it is laced with interesting challenges, not a cake-walk -:)
My sincere thanks to U-M, Coursera, teaching staff and all who made this happen
By Varun S T•
Great Course. The best part about it is that you are forced to dig deep into various resources and work hard on your assignments, which helps you to apply everything you will learn from the lectures. Extremely practical and totally hands-on. Looking foward to the remaining courses in the specialization. I feel so much more confident about not only creating amazing visualizations but also about acquiring datasets and preparing them, which we learnt in the previous course.
By Kenia S•
I continue to like the way the Prof. Brooks explains the different topics, the selection of the topics themselves and the scientific articles are very enriching. I was previously an HCI researcher and it was a pleasant surprise to find such great art Thanks for sharing them! It was defenetly a challenge for me, learning it all and doing the assignments. At the end, I'm proud, I've learned a lot and l'll definitely share what I've learn so far. Thank you!
By T.V.S T•
The best course, that i would recommend for if anyone wants to cover a lot of basics in the field of Data visualization, The course assignments and emphasis on self learning, and making us familiar with many top websites like stack overflow and geeks for geeks to ask and clarify our doubts.
I recommend the beginners doing this course to document each of their assignment and make a repository in Github that would add a good value to your profile.
I was skeptic about this course since I am beginner to applied plotting and charting. After watching all videos, i felt overall course is intermediate level and well organized. I went through online search to understand all details mentioned in video, moreover I gained knowledge by looking at the assignment and solving myself with the help of stack overflow. I wanted to learn something new, and it did.
Thank you so much, Christopher Brooks !
By Bhavesh M B•
This course is extraordinary. The faculty initially explains you the basics and then requires you to do some digging from the documentation and on the forums, but it was all worth it. I couldn't have asked for a better faculty than Mr. Brooks for this course. His explanations of the concepts is perfect and to-the-point. I thoroughly enjoyed doing the programming assignments in this course.
By Jiongnan L•
In addition to giving practical guidance in plotting and charting, the professors also give a simple but comprehensive explanation of the structure and functioning of the matplotlib.pyplot module, even though it doesn't require you to understand the deeper structure when you use the function, it certainly doesn't hurt you for learning more, especially when you want to be an expert in this.
By Val A B•
I found this module to be the most enjoyable of all the Data Science courses offered by UMich. The method of instruction isn't only aimed at plotting data in various charts but it also focuses on the subjective part of visualization. I had fun doing the assignments, especially the 3rd and 4th week assignments, and I could say that I have improved a lot with my visualization skills. 10/10