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.

The course is great. Covered all most all the aspects. Little suggestion. Please force the students to add the notebook url for the final submission. That could help to preserve the integrity of the course. Thanks.

really loved this course, top notch material.. rushed a bit towards the end.. but it covered so much ground.. thanks again for the wonderful walkthroughs.. pretty self explanatory on its own. best regards, dhruv

Thank you so much for the course! This one is the best out of all series! It is a pleasure to learn with you! Labs are fantastic! Really, I spent a lot of time on them. Course is really exciting and insightful.

Excellent class. The instructor Alex Aklson uses a very methodical approach when introducing each topic.

It was very refreshing to see that the coursework did not have errors which makes it difficult to learn,

The most complete course on Data Visualization which covers everything a data analyst and data scientist needs. I'm glad I finished this course and I am thankful to the crew who made this course available

Started of with very basic visualizations and ended up making a real time view super imposed on WORLD MAP. Never thought I would work on these examples before starting this course.

Kudos to the instructor.

This course is good, but not perfect. There are issues with the course such as locked content even though I just unlocked it with financial aid. It turns out that I am not the only one who experience it.