Learner Reviews & Feedback for Data Visualization with Python by IBM
About the Course
Top reviews
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 :)
226 - 250 of 1,259 Reviews for Data Visualization with Python
By Peter A
•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,
By SAKTHIVEL G
•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.
By Loïc B
•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!
By anubhavbbd
•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)
By Mohit J
•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
By HUNG K
•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!
By Jiujia G
•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.
By Mohsin S
•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...
By Wilfredo A
•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
By Himanshu P
•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!!
By Fernando L C
•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
By MAURICIO C
•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 !
By Rūdolfs L
•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!
By Norma L
•Absolutely fantastic course. Super well structured, very clear and complete labs, great varied knowledge for visualization and lots of pandas as well, loved it. Thank you guys!
By N V
•The course contents and lab work are appropriate and useful, however the final lab assignment using folium 0.5 to generate a choropleth layer was fraught with technical errors.
By Damian D
•The best course in this specialization, so far. Great balance between theory and practice. Interesting and demanding exercises and assignment. Theory explained in friendly way.
By Xudong L
•It is an interesting course, most of the popular plot tools in python are introduced and well practiced. The final assignment helps to improve and extend the usage of tools.
By Bijoy M
•A highly efficacious course for intermediate level Data Analyst enthusiast to enhance their skill over Data visualization techniques. I highly recommend to take the course.
By Periklis K
•This course gives a solid knowledge on creating visualizations with Python. Please have in mind that you have a good familiarity with Pandas to take the most of this course.
By Lakshminarayana D
•Great Learning. A truly good course which is very apt to the title. Learning clearly on the data distribution plots like Scatter, Boxplots, Folium and Geopandas. Must Learn.
By Rama S C
•Excellent course, especially the labs were very useful and served as a recap of what was learnt in the previous courses of this certification course. Very clear explanation.
By RAM K A
•Very useful and good explanation. The topics could have been subdivided more so the each tools could have been explained orally rather than working fully in the lab session
By Xin W
•Video lectures are compact. To really get to know the matplotlib, a lot of work needs to be done during hands-on lab and self study. But it is a good introductory course.
By Parth P
•Data Visualization plays a vital role in ML. This course helps in understanding various visualization tools and plots. Nice course to know about matplotlib, folium, etc.
By Sabarish V
•A fairly good introduction. The scripts can be a bit advanced for those who are new to Python. It's best to have the documentation open on a different tab at all times.
Coursera Footer
