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.
創建者 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 :)
創建者 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.
創建者 Cassandra d C•
Apr 26, 2020
The first properly challenging course I've encountered on Coursera and I loved every bit of it. I have an engineering background and I loved having to look for the answers on the internet and in the documentation. It wasn't simply spoonfed to me. If you pass this course, you will definitely gain proficiency in this subject!
創建者 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.
創建者 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.
創建者 Abishek M V•
Apr 26, 2020
Though the course videos were short, giving an introduction to how different charts look and to plot them, the lab sessions were the best and gave a plethora of information on data visualization. Also, I am glad that they included the folium part of the course in the assignments which were very well formed.
創建者 Agalakov S•
Apr 17, 2020
Nice lecturer and useful tools. This course was really interesting though pretty hard for me. Sadly at the end of the course I didn't feel that I gained enough skills to do the lab easily but maybe it just me. Anyway I ll definetely return to this course again to get the better understanding of some topics.
創建者 Daniel R•
Apr 07, 2020
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.
創建者 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!
創建者 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.
創建者 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.
創建者 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.
創建者 Hemanth S•
May 11, 2020
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.
創建者 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.
創建者 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.
創建者 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.
創建者 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.
創建者 Manish P•
May 24, 2020
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.
創建者 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
創建者 Atikah F•
Jun 22, 2020
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!
創建者 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
創建者 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.
創建者 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.