Great course, one of the best course to get hands-on learning for Data Visualization with Python. Particularly the lap exercise, it will make you think on every line of code you write. Excellent!!!
It's a really great course with proper hands on time and the assignments are great too. i got enough opportunity to explore the things which were taught in the course. Really Satisfied. Thanks :)
por Daniel R•
I really enjoyed this course! The labs used interesting, real-life data and did a good job explaining the purpose of each line of code in an easy-to-understand way. I appreciated the questions in the lab because they built on and stretched my understanding of Python from past courses. Thank you, Alex.
por Jason J D•
Really nice course. This course has helped me build up a number of Data Visualization skills, and I am able to draw meaning and conclusions from data easily and much faster. The course labs are excellent and the final assignment was a good way to test the skills that I developed during this course!
por Siwei L•
I feel this is harder than the other ones in the series, sometimes you need to google a little bit to figure it out.
I spend more time for a week, but I wonder why I have to do it in Python. I learn Python just for faster loops than R. Personally I think R need less coding and produce better graphs.
por Leonardo I•
This is a very enjoyable course, even though I was familiar with most of the tools, I still got to learn a few new tricks. If you are not familiar with programming, you might find the final assignment a bit challenging. Therefore, I strongly recommend that you take the course labs very seriously.
por Rakshit K•
Course is really good to learn all the fundamentals of data visualization along with the advance techniques to master it. Assignments and practices are designed very well by the instructors and you would have to put all your efforts to understand and master all the course. Kudos to the IBM team
por Mathijs d G•
Best course so far in the series. The labs are great, they make you really apply what you've learned.
The final assignment is a true test of your skill. You can't repeat what you've done in the labs or what you've seen in the videos. Perfect test of skill. I've learned a lot.
Thanks Alex Aklson.
por Amy E•
The final assignment is excellent! It is not just straightforward but requires us to think and research, go beyond the basics learnt in this course. Amazing course! Just the right amount of videos, simple labs, and challenging yet effective assignment, I learnt a lot! Thank you Alex Aklson <3
por Xiaolin Z•
This course consist of most of plotting types with python, it's not only about matplotlib, but addtional tools and methods to create maps. It gives you a fabulous understanding about visualization using python. Completing this course, you will be able to demonstrate the data in ways you want.
por Zareef J•
Liked how it covered a vast amount of topic related to data virtualization. The notebooks are really useful for taking help in future works. I did like too see more details explanation and practice problems related to the libraries used in the notebook exercises. Overall loved this course.
por Hemanth S•
Though the videos were short and running fast the labs were well designed, the peer graded assignment is well prepared too. I feel more accomplished than before. Honestly, this course should've been suggested to be taken at least before 2 other courses that I already finished to get here.
por Gilberto B L•
It was very good and interesting how to create different kinds of maps for different purposes, specially I liked the maps that you can embed in an image like the wordcloud using a mask from Alice in Wonderland, I will try to do something similar with another topic. Thank you very much.
por ira d G•
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).
por Prabhakaran E•
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.
por Hong-ki L•
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.
por Thibault M•
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.
por Manish P•
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.
por Anthony T•
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
por Bhaveshkumar C R•
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.
por Atikah F•
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!
por Jafed E G•
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
por Javed A•
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.
por George R•
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.
por David L•
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
por Azka S F•
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.
por Lingjun K•
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.