I appreciate the way the Instructor always (always!) refer back to previous lessons, so that the transition to the next lesson becomes seamless. The lab also reviews past exercises so you are not at a lost (especially if you have not gone through the course for a while).

Content wise, the best course in IBM Data Science Professional Certificate, as the quiz, lab and assignment modules really tests your knowledge. It made me learn a lot apart from course content to earn the course completion. Kudos to the content creators Jay and Alex.

As I have no coding experience, it is hard for me to follow the course material. To finish the assignment, one have to repeat the exercises in the labs until one has everything understood and remembered. Not a easy course but it gave me a sense of fulfillments.

A well designed and executed course. Basics understanding of python is essential for this course. The course provides great learning to all those who watches all the videos, practice the ungraded assignments seriously and works through the course sincerely.

Excellent, this is a great course introducing and teaching visualization !

PS : You might read about people telling that some of the materials in the assignment is not in the course. It's false it's in the lab. These people should take notes while working.

Excellent Course. I would recommend that the first week of this course be included in the introductory courses in Panda analysis. It will allow the student to really see the value of Pandas over an Excel and provide more of a boost to learn quickly.

a great course, data visualization is one of the topics that draws many people into the field of Data Science. I found it to be a very interesting course, one whose lessons I will return to often as I continue to build my knowledge and experience

The first 4 weeks were very easy and then during week 5 things gets really heavy and you need to dig deep into the subject matter. Nevertheless is was a great learning experience and now I feel enabled having transformed my R skills into Python.

This course gives a clear and deep understanding of different plots as well as different sub-modules in Matplotlib and folium. In addition to jupyter notebook, one can explore to cloud IDE to create interactive dashboards. Really worth for cost.

This course is very rich in knowledges about data treatment and data visualization. All the steps are clear for intermediary students on python language. I recommend for everyone who wants a essential skill for the future demands of technology.

This is really great course. It covered all the contents related to data visualization with python. Now, I can say that I have a good amount of knowledge in creating data visualizations. A very thanks to the IBM community to make this course.

At first I thought this course was the easiest among the 4 courses in this specialization. Turned out this course was the hardest but also worth spending time on because I have learned lots of applicable knowledge. Thank you Coursera and IBM!

I enjoy the lectures. The professor has a good speaking and teaching style which keeps me interested. Lots of concrete math examples which make it easier to understand. Very good slides which are well formulated and easy to understand

Really it is Worthfull Course. Helpfull Training Method. Nice Videos & Specially The Labs Are Worthfull & Helpfull.

I extend my thanks and gratitude To Coursera & IBM To give me chance learning. i Say Best Wishes & Regards. u r great

What an outstanding way to learn such crucial skills from the world's best platform of Coursera.

I am feeling really proud to complete the course.

IBM Skills network labs are just speechless.

Jupyter notebook is just an amazing tool.

It was one of the better courses in this data science professional certificate. I like that the datasets didn't come prepared in advance in the lab exercises and I had to do some work on the on the data before creating the charts.

I felt this was hard. I realized this particular course forced me to review on how I needed to develop the mind set to become a data analyst and software developer. This class force me to learn more and keep going forward. Thanks

For the lab that used the jupyter_dash library, it would be really helpful if you include a video that shows us how to fix or bypass the bug. Many are still confused about how to do it and just keep restarting their lab kernel.

I feel grateful for the challenge in the final assignment which help me to grasp the necessary skill sets in a way of learning while doing; a great experience good for the growth of both technique capacity and mental strength.

Very informative and challenging course in terms of formatting visualizations . Course material and hands-on-lab covers every basic aspect. Although, the assignments maybe hard, the quest to get answers teaches a lot more.

interesting course, but i really faced a challenge doing the assignment, i guess it would be better if assignment questions were covered in Labs session also. The assignment was over the top, and tougher to get it correct.

This course is a foundation for those who wants to master data visualization. All the video modules are short and crisp. The lab sessions are very good and explanatory too and covered all the concepts comes under a topic.

What I experienced here is just out of this world. Not the typical theortical classes but practical, learn by doing, mutiple examples plus exams. What a way to learn without amny unecessary theories. #practical#relevance

Best course for understanding the data visualization libraries of python and easily elaborate by sir. Thank you sir for this course, great experience to solve lab practical problems and quizzes and all. Thanks a lot sir.

I really love this course, the instructor really provide clear explanation, give enough example, provide comment in each code to give more description, and more importantly the task difficulty is enough challenging.