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 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
by Jin T•
I learnt a lot from the course especially in the visualization and data analysis. The assignments are challenging but the things are covered in the courses and the recommended essays are quite useful. Hope the project can cover more dimensions of the visualization, and be more specific when giving the instructions on the assignments.
by 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!
by 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.
by 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.
by 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!
by 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.
by 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.
by 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.
by 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 !
by Shubham D•
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•
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•
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 Abrar A W•
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•
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•
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•
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•
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 G N A•
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•
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 Nahim O•
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•
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•
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•
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•
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.