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.
创建者 Katya H•
good lectures and theory. I miss automatic code evaluation and more numpy data transformations. I suck at these and I was hoping this course would have more of the same kind of tasks as the first + plotting.
Overall, good class as a starter point for plotting in pandas.
创建者 Juan M•
The course and material is great. The videos are not too long, but they provide the necessary guidance. I do think that the peer-reviewed grading could be improved. Feedback is minimal, and I do not think anyone really gets feedback on the quality of their code.
创建者 Juan C E•
Several different API's are touched (matplotlib matlab-style and object oriented interfaces, seaborn, pandas, and it's easy to get lost. Some additional reference material would be helpful: cheat sheets, course slides with a bit more detail of the API's touched.
创建者 Noah K•
Great course to learn matplotlib and some other plotting tools! I do believe that that gap between the lecture videos and the assignments was huge though, but I guess self-study and exploring the internet is part of learning this type of stuff. Great course!
创建者 Jared P•
This a pretty good introduction to plotting libraries in python. I would have preferred a deeper dive into some of the built-in methods. A little more on visualizations from libraries like seaborn, bokeh, or plotly would have been nice. Overall, great work.
创建者 Tonderayi K•
It was an applied one where I learnt how to handle real world data. Also the parts of what makes a good visualization were principles that really helped me. This course will always help me in my data analysis future - I will always refer to it.
创建者 Xan P•
Useful overview of data visualization design principles, matplotlib, and seaborn. But for me also required a lot of self-learning from Stack Overflow in order to make attractive charts. The assignments were useful and practical overall.
创建者 Luke G•
This course is pretty good. There's a lot of general guidance and the topics covered are very broad. Expect to spend some time reading documentation, but overall you'll get a really good coverage of a lot of different things.
创建者 Michael H•
The course was very informative and provided good exposure to plotting tools in Python. However, I don't feel that the peer-reviewed assignments were very effective as nearly anything submitted would receive a passing grade.
About pandas plot and seaborn, it is very short and it looks like ends suddenly. Besides, the design of practice is not very good as well as first class 'Introduction to Data Science in Python'. It need improvement.
创建者 Alan J•
Excellent course to begin matplotlib. It shows us the intricacies of the matplotlib by showing the basics and prodding us to go deeper by reading the documentation. The assignments are also really good. Recommended!
创建者 Shou-Chung W•
This course gives me an overview of data visualization, and I felt pretty accomplished with that goal. Data science is a broad subject, this course is a good place to start. It is an intermediate level course.
创建者 Arvind S•
It is a nice course ,if you are looking to start your journey in data visualization then this course may interest you a lot, although this course covers basic as well as some advance lessons in visualization.
创建者 Manuela D•
The very last 2 weeks were quite interesting and full con concepts, whereas weeks 1 and 2 were more theorical. I would suggest to summarize initial theorical concepts and give more practical coding examples.
创建者 Mohamed A H•
The instructor is very professional. The course has really high-quality academical information that come very valuable and handy when you get to create charts and visualize the data. Definitely recommended!
创建者 Steve M•
An very good overview of how to develop honest, functional and aesthetically pleasing data visualizations. With additional instruction in how to use matplotlib and Seaborn, it would be a five-star course!
创建者 Marija K•
I liked this course, but I thought that it would be a little more advanced. I would have liked if it dived a little deeper in how to use visualizations to make decisions while analysing and cleaning data.
创建者 ayush k•
Practical course with hands on exercise to make you well versed in Applied Plotting, Charting & Data Representation in Python. I recommend at least every college student should experience this course
创建者 Ivan R•
It contains very good recommended lectures, good material and explanation about matplotlib to grasp a big picture. However, you must invest a lot of time on your own to research deeper in the topic
创建者 Vishal S•
Week 1 is a little bit theory and boring for me because that doesn't interest me but week 2 and week 4 is amazing. Especially week 4 assignment is too good. Overall the course is worth learning.
创建者 Brandy B•
I thought this was a really good introduction to matplotlib and some of the things you can do with it. The final project we got to apply what we'd learned to real data, which was a lot of fun.
创建者 Tarun Y•
This course is really helped me not only to increase my knowledge about the tools but also with the help of the additional reading and optional assignment help me out to improve my skill.
创建者 Vidya M S•
It's a good intermediate level course . Prior work in Python plotting functions does help . Assignments are good and make you stretch your skills . Discussion forum is quite supportive.
创建者 Ezequiel P•
Good course! Could be improved by assignments better suited to the lectures. But having them pushing a bit further and forcing you to figure things out on your own is definitely great
创建者 Temuge B•
Week 1 of the course is complete waste of time but weeks 2 to 4 are decent. Only complaint is that the assignments are not very clear and also it doesn't go very deep into matplotlib.