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 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.
創建者 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.
創建者 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
創建者 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.
創建者 eric g•
You are going to learn by doing, less then getting a deep lecture of Matplotlib. Yes you will learn it quickly, but the lecture videos are only about 15-30 minutes a week, while the projects will take you a few hours to complete (With the last two taking significantly more time if you want them to). I was a little disappointed that I didn't get I 100% clear picture on how to use Matplotlib and Seaborn, but I do feel like I gained comfort, so it was worth taking!
創建者 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!
創建者 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 !
創建者 Evandro R d P J•
And then, there it goes, another course in this amazing Specialization. This course of Applied Plotting, Charting & Data Representation in Python was magnificently well constructed. The videos, quizzes and assignments are pretty fun to dive into and, this is the first course in which I see Peer Assignment (because it makes sense) and it was great to learn with other people from all around the world!
創建者 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.
創建者 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
創建者 Thomas P•
This Course is really interesting for those who are already worked with matplotlib, numpy and scipy.
The first three weeks a lot of hard plotting is done for learing the modules. In the last lecture, week 4, the more easy way is shown with pandas built in plotting functions and a toolkit expansion - which makes the plotting more applicable when working with Pandas Data Frames.
創建者 Jaladh S•
This course is excellent because it teaches not only how to create customized visualizations using matploltlib in Python, but also what principles one should follow to create an excellent visual. The assignments are designed in a way that you get to enforce those principles on the visualization you create - making them memorable throughout your Data Viz career.
創建者 Pranav U P•
To all of you who have done the first course under this specialisation - you have GOT to do this! Its simply amazing, and will mostly deal with the practical side of things. You will learn skills to be able to clean, analyze and plot data beautifully on your own! I'm a student of grade 12, studying under the CBSE curriculum. If I can do it, SO CAN YOU!
創建者 Krishna P B•
Taking up this course is a great way to understand how visualization libraries are organized in python. Instead of just stating down functions, the instructor has actually gone through the trouble of explaining the whole underlying architecture of how data is stored and rendered from back-end. Great work! And thank you for organizing a superb course.
創建者 Brandon H•
There are so many components to plotting that I didn't take into consideration, and this is after having gone through a Master's program in statistics. I have taken many of the simple things into mind each time I create a visualization at my job. Thus far, I have found the first two courses in this series invaluable and highly recommend it!
創建者 Daniel H•
Very clear explanations and wide range of tools to know different ways of data representation. I like a lot it is more a practical than a teorical course. Also, is very interesting to learn some kind of 'rules' for data rep (truthfulness, beauty, insightful, and others. Congratulations and thank you for this really good learning experience
創建者 Paweł R•
Very good course, solid introduction to matplotlib and interesting assignments. I was skeptical about the peer review format at first, but then I embraced it - good choice! I liked how the course built on the foundations of the previous one. To pass the assignments I had to use Python, pandas, matplotlib and other tools combined!
創建者 Ching-Hwa A C•
Teaches the fundamentals of how to make a truthful and readable chart/graph, as well as how to consider the audience for the chart. This course introduced me to how to make a lot of different types of charts in Matplotlib that would be so useful in grad school or work, but which would have been daunting to navigate on my own.
創建者 Aditi Y•
This was a very informational course, when you can visually see actual trends that has happened in the history or interesting facts from all over the world, with proper data backing up. What I liked the fact was how Tufte's and Cairo's principles are strongly emphasized throughout the course to get the best results possible.
創建者 Eunis N•
It took lots of self-motivation and self-learning in addition to viewing the videos and the course Notebook. It could be challenging if you are willing to dig into fancier plotting options. But in the end, I had a super satisfying experience, 5 ⭐s! Looking back at the projects, I was amazed how I accomplished them!
創建者 Aayush G•
Course was very well-framed. It actually covers all the possible parts of Matplotlib in a well-paced & content-rich lectures with real world problems as Assignments.
I would request my peer learners to take up a Statistics Course which will make this more clear as one can co-relate the plots & the stats behind them.
創建者 Sudhanshu S•
You really need to do so much of hard work to complete the course specially in completing the assignments. The author is very fast in teaching, if you want to follow him with the lecture do revise the concepts many times in a week. But I will say it was an amazing experience in this course of specialisation.
創建者 Praveen R•
I enjoyed learning about different plotting schemes with matplotlib. The assignments were very information to learn and explore new plotting techniques. The interactive graphics was interesting to know. seaborn is really powerful and elegant viewing schema. I want to use this in my day-to-day work too.
創建者 Sanjay N•
What I like about this course is its pace and content. It can be a bit un-nerving in the beginning since the lessons are pacey. But that is what is great about online courses. You can re watch the videos and refer to the notebook examples provided to catch up. Most important - the content is great !