Nov 21, 2019
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 :)
Jan 08, 2020
This course gives very well knowledge about different types of visualization techniques and helps to start with visualization. Coursera provided an amazing course with an amazing instructor.
par Rohit B•
Mar 06, 2020
The course really highlights the power of Python's visualisation. It is really cool to see the charts as well as map functionality that comes free with Python. With some basic programming experience, far more powerful visuals can be created than some very high-end off the shelf programs. I really liked the features such as Word Cloud as well as Choropleth maps.
1 The videos can be a trimmed a bit - Almost every video re-iterated the data cleanup exercise, which got repeatitive after the first 2 videos.
2 More examples of map related lab exercises would be very helpful for those like me who want to delve into this further.
par Clarence E Y•
Mar 30, 2019
This course provides lectures that enable learners to understand the theory, application and practices that data scientists use to create meaningful visual presentations of complex data relationships. The labs provide adequate opportunities to do hands-on end-to-end work with data and visualization tools. The learner is challenged to go beyond the scope of information presented in the course to also search other resources to gain the knowledge necessary to complete the final project. Searching for additional resources builds a foundation for independent future work.
par Mya S•
Sep 09, 2019
This was a valuable course to learn visualization with Python. I especially appreciate the section on mapping and the waffle charts. The only suggestion I would offer is to have more opportunities for practice coding, especially for grouping data for analysis, labeling charts, calculating percentages. These could either be optional assignments or links to other resources. But regardless, this is the best course out of the series for me so far.
par Hoang V A•
Sep 19, 2018
The course is great , especially with the support of the instructor. However, because we do not have solutions for final assignment, I do not know whether my code/code structure was appropriate, efficient, effective, smart, tidy even the result was correct. Code structures also my concern. I coded 5-6 lines, steps to get the correct result while others may use only 1 line to get one. That's really matter i think so.
par Deborah B•
Aug 12, 2019
This course was fun, interesting and challenging. The final assessment was a true challenge because it require a combination of materials that were covered in the course, but also required a bit of additional information and expertise as well. Finishing those assignments gave me much more confidence in my ability to perform these kinds of assignments in real engagements and assignments.
par Senthamizhan V•
Jul 02, 2019
I thought the syllabus will cover only matplotlib and seaborn. I didn't expect to learn geospatial data visualization in this course. I learnt a great deal about folium and it's versatility. I feel it's a great addition to the course. Such modules will enable aspiring data scientists to expand their domain knowledge and excel in unorthodox data science areas.
par Toby O•
Nov 14, 2018
Not sure if the creator gave enough tips and tricks to help provide solutions for the final assignment. I had to use alternate solutions not provided.
The examples given are good but quite simple in places, and only work in specific circumstances. This may be because there are simply too many solutions to go through in this short course.
par Eleni K•
Mar 31, 2019
While the course's material is very interesting and extremely helpful, there is a vast variety of different ways to visualisation and I'm afraid I had to search google for most of the last assignment's requirements.
I believe three weeks is not enough and there should be more exercises in this course. Other than that it was a thrill :)
par Eric H•
Dec 19, 2018
The Data Visualization with Python course is really outstanding when compared to the others in this specialization. Alex is doing a great job explaining, the slides and examples are comprehensive, yet easily digestable. The in-depth exercises are the best in the whole specialization, quite challenging and therefore very effective.
par Himanshu P•
Dec 28, 2019
Truly Awesome, I get a in-depth knowledge in this specialization and just precise content as well up to date. Correct combination of theory and explanation in detail then practical lab over recent topic covered then Project in each topic. Also final Capstone project is really rigorous. Thanks to Instructor and Coursera.
par Colton R•
Sep 07, 2018
A well done course that really gives a decent overview and exposure to the python tools for data visualization. Although the projects take a bit of extra self studying and research to complete, the course provides a majority of other good sources to continue your understanding of the material beyond the lectures.
par Jason J D•
Sep 15, 2019
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!
par Siwei L•
Feb 20, 2020
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.
par Leonardo I•
Jun 29, 2019
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.
par Rakshit K•
Jul 23, 2019
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
Mar 19, 2020
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
Apr 02, 2019
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.
par Gilberto B L•
Mar 07, 2019
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.
par Prabhakaran E•
Mar 15, 2020
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.
par Hong-ki L•
Apr 29, 2019
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.
par Thibault M•
Dec 04, 2019
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.
par Anthony T•
Jan 30, 2020
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
par Jafed E•
Jul 06, 2019
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
par Javed A•
Oct 22, 2019
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.
par George R•
Jan 27, 2020
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.