學生對 IBM 提供的 Data Visualization with Python 的評價和反饋

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.

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,

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.

Great course.

I struggled a lot on the bar chart assignement and spent a lot of time reading documentatation. but it was a good practice and helped me get into the right mindset. Thanks for this course!

This course was really interesting and it was great learning experience.A big thanks to a instructor.

I got to know new things like folium library (most interesting library of python according to me)

The way of design this course is so interesting , quizes , lab session is so good ,Final assignment is great ,to increase skill on data visualization with python is best course on coursera

Very challenging, yet that's what make it's rewarding. Even though the course only takes 3 weeks, its difficulty is on par with the longer previous course. I enjoyed every problems on it!

This is a very helpful course. It introduces a variety of data visualization tools. The interesting practices in the lab sessions inspired me to explore different solutions for a problem.

This module is extremely important for Data Scientist. This module gives you the confidence on how to explore, manage, display and visualize data concept to meet end-users requirements...

Very good introduction to the use of graphics in Data Science, the labs helps to consolidate knowledge and skills and gives you the confidence that you are really learning the subject

It was great leraning to use various visualization plot technique using Python based libararies. I would reommned this course to be taken before "Data Analysis with Python" course!!

The videos, the labs and working with real data make the course just great! Excellent resource for learning to visualize data using Matplotlib, Pandas, Seaborn and Folium. Thank you

the first two weeks are neither difficult nor easy. But the last week is a litmus test, with the plotting and graphical data sets putting your mind on fire.

Thank you

Good course !

Excellent tutorials, great labs and fun exercises - visualization is one of the most satisfying things about data science, and it is no surprise that this course is very enjoyable!