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Learner Reviews & Feedback for Applied Plotting, Charting & Data Representation in Python by University of Michigan

4.5
stars
6,219 ratings

About the Course

This course will introduce the learner to information visualization basics, with a focus on reporting and charting using the matplotlib library. The course will start with a design and information literacy perspective, touching on what makes a good and bad visualization, and what statistical measures translate into in terms of visualizations. The second week will focus on the technology used to make visualizations in python, matplotlib, and introduce users to best practices when creating basic charts and how to realize design decisions in the framework. The third week will be a tutorial of functionality available in matplotlib, and demonstrate a variety of basic statistical charts helping learners to identify when a particular method is good for a particular problem. The course will end with a discussion of other forms of structuring and visualizing data. This course should be taken after Introduction to Data Science in Python and before the remainder of the Applied Data Science with Python courses: Applied Machine Learning in Python, Applied Text Mining in Python, and Applied Social Network Analysis in Python....

Top reviews

OK

Jun 26, 2020

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 ..

RM

May 13, 2020

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.

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151 - 175 of 1,035 Reviews for Applied Plotting, Charting & Data Representation in Python

By Aditi Y

Feb 5, 2019

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.

By Eunis N

Apr 28, 2020

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!

By Aayush G

Apr 5, 2019

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.

By Sudhanshu S

May 26, 2020

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.

By Praveen R

Oct 29, 2019

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.

By Sanjay N

May 29, 2018

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 !

By Shubham D

May 15, 2019

It's a really good course for data visualization, it starts from very basic of visualization including Cairo's Parameters, ethics behind visualizing data and then provide an understanding of matplotlib, seaborn and other visualization related libraries. Assignments are really helpful and amazing.

By Fuat Y

Jan 7, 2018

Wow, it was a very interesting and challenging 4 weeks, I can not even compare my knowledge now to the time I started to this course, I learned a lot, searched a lot and coded a lot. I am happy now that I can create infographics, and gained a good background about what a good infographic is

By Sarah M

May 27, 2020

Great intro to plotting in Python with particular focus on plotting pandas dataframes. The course covers a large variety of topics without moving too slowing, it keeps the pace up as a sort of whirl-wind intro tour that gives you a lot of useful background knowledge and some good practice.

By Y. N

Dec 29, 2022

This course is excellent! They don't teach everything but you will learn the basics and be able to explore on your own. Don't let the comments from lazy learners get you. It's one of the best courses I have taken here. The first course is very good too. I'm currently working on the third.

By Abrar A W

Aug 26, 2020

This is a hard course for many people as it requires much statistical knowledge which leads to hunting through a lot of resources to understand those concepts and finally coming back here and failing and trying until you are finally satisfied with what you created. Excellent Course.

By Michael L

Jun 17, 2017

Excellent course with in depth explanations. It is well structured. It learn me to applied Plotting, charting and Data representation in Python from very basics to optimum level. It help me to understand details of using Python to Applied Plotting, Charting and Representing Data.

By Servio P

Feb 4, 2018

This is a fantastic course. The lecturer is amazing and I learned tons of information about publication quality charts and data cleaning.

It takes plenty of time though.

I recommend this course to anyone serious in learning data science. At least to those starting in this area.

By Victor E

Aug 7, 2017

The structure of the course is very well thought out. Building up from basics to more sophisticated levels, from simple tasks to very demanding problems.

I also liked that it maintains a cerain level of knowledge of participants so things from the prev courses aren't repeated

By Utkarsh R

Jul 4, 2017

I really liked the course because apart from teaching the skills of creating visualizations, the course tends to focus on the bigger questions: why choose a particular template, how would others perceive what you are trying to convey. Relatively easier than the first course.

By David N

Jul 21, 2020

Excellent course: well structured and high quality lectures. Besides, it's properly connected with the first course of the specialization and the material preserves its focus on Data Science. I completely suggest taking this course (especially after taking the first one).

By Juan R C C

Aug 24, 2017

Great course!! It requires to dedicate several hours per week but it's a very good investment. Teachers, contents are very good as well than materials. Assignments are very well aligned with the course objectives and they are really profitable in terms of learning on job.

By Varun D

Jul 19, 2022

A decent course which went deep into theory of data visualization. It really helped me get the concepts from the roots.

But one drawback is that you have to spend a lot more time reading articles they provide and some other resources you find online for a proper learning.

By Nahim O

May 6, 2019

It's awesome, the course is incredible, I've learnt a lot of thing about python, I'd like to know more about similar python course like this. this specialization its vast to improve your knowledge in programming with python. I'm glad to took this course. Simply awesome.

By Jimmy K A

May 18, 2020

Aewsome course, If you want to dive, deep inside matplotlib, build, beautiful, interactive, animated plots, and figures then this is the course to choose. Assignments can be har but after you complete it, your knowledge level and confidence will reach another level.

By Carlos V M

Mar 3, 2019

The concepts and theory explained in the course are perfect for building a solid foundation for data representation, highly recommended for anyone looking to improve in their data-science skills and understanding of the science behind extracting insights from data.

By guru k

May 19, 2020

By the end of the course, you would produce industry-grade plot or at least you will have an idea on how to produce one. The course encourages a lot of self-research and the topics are covered very quickly. Still, I would rate this course a 5. It helped me a lot.

By Henrique G A

Oct 13, 2020

Applied Plotting, Charting & Data Representation in Python unveiled all Matplotlib capabilities as well as provide me all background to do truthful, functional, beauty, insightful and enlightening charts. I am sure that my charts will not be as in the past.

By 谢仑辰

Feb 27, 2018

I highly recommend this class Though we cannot remember all the things the instructor delivered here, it really provided me a way to se how significant the toolkit can achieve. And the rest relied on ourselves such as referencing documentation.Great class.

By Shadi A

Mar 14, 2019

Dr.Christopher Brooks is the best instructor ever. He starts with simple step by step into Matplotlib instructions along with valuable reading materials as well as challenging assignments where each assignment add more and more the learning of the course.