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.

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.

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.

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.

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.

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!

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.

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.

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.

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!

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!

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

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

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.

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.

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.

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.

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

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.

Great topic to learn. Fantastic assignments - learnt a lot from self learning, stackoverflow mainly. Though the course cannot cover all the details, major topics have been covered.

This was good course, but a little heavy going at times. I actually stopped it, then came back to it after doing course 4 in the specialization. It is worth it tho, so keep going!

Really interesting course covering matplotlib functionality. There is a lot of self-study required, but that's okay. Liked the demo's about Panda's and Seaborn in week 4 as well.

It's a course that is hard to be taught, because it involves a lot of human judgment in terms of aetheticism. It is good to know some examples of how to create a plot, though.

This course is very helpful before doing any machine learning course. It helps us in understanding and creating our own visualizations, insights and representations of data.