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Avis et commentaires pour d'étudiants pour Data Visualization with Python par IBM

8,385 évaluations
1,159 avis

À propos du cours

"A picture is worth a thousand words". We are all familiar with this expression. It especially applies when trying to explain the insight obtained from the analysis of increasingly large datasets. Data visualization plays an essential role in the representation of both small and large-scale data. One of the key skills of a data scientist is the ability to tell a compelling story, visualizing data and findings in an approachable and stimulating way. Learning how to leverage a software tool to visualize data will also enable you to extract information, better understand the data, and make more effective decisions. The main goal of this Data Visualization with Python course is to teach you how to take data that at first glance has little meaning and present that data in a form that makes sense to people. Various techniques have been developed for presenting data visually but in this course, we will be using several data visualization libraries in Python, namely Matplotlib, Seaborn, and Folium. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate....

Meilleurs avis


Nov 28, 2018

The course with the IBM Lab is a very good way to learn and practice. The tools we've learned in this module can supply a good material to enrich all data work that need to be presented in a nice way.


Aug 14, 2020

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!!!

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226 - 250 sur 1,143 Avis pour Data Visualization with Python

par Damian D

Mar 03, 2019

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.

par Bijoy M

Jul 05, 2020

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.

par Periklis K

Jan 05, 2020

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.

par Lakshminarayana D

Sep 29, 2019

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.

par Rama S C

Jan 15, 2019

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.

par RAM K A

Apr 25, 2020

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

par Xin W

Jun 04, 2019

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.

par Parth P

Mar 11, 2020

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.

par Sabarish V

Mar 29, 2019

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.

par Shashank S C

May 20, 2020

This course has very good topics on Data Visualization, I must appreciate the exercises in lab and the final assessment which really helps you work on real-time data.

par Israel S S

Aug 21, 2019

Un curso muy completo y con ejemplos prácticos. El proyecto final me permitió investigar mas sobre las opciones y atributos de las librerías para construir gráficas.

par Y M

Jan 19, 2019

Excellent ! Although most of plots that I have learnt before, the map plot with folium is very attractive to me and I have got so much new things. Thanks professor !

par Siripat W

Sep 26, 2018

I love final assignment, that's too hard for me at the beginning, but it's turns out to be very easy when I figured out. I was overthinking for the condition. lol

par Vaddi J C P B

Sep 19, 2019

Let's you know the methods and techniques that you can work on real-time scenarios. Final assignment will make you feel great letting you to work from scratch.

par S S A

Aug 20, 2020

Very well designed course. Clearly explains each module how to do it and then lab exercises gives us pretty good hands-on experience on the concepts we learn.

par Ahmed H M

Jul 24, 2020

Very good course on understanding scripting layers and artist layers, as well as going over all basic graphs and advanced graphs. It was definitely rewarding!

par Giuseppe P

Aug 13, 2020

It's an excellent data visualization course with Python, which is supported by external tools promoting knowledge and practice of what is seen in the course.

par JUAN J T R

Jun 26, 2020

It's an excellent data visualization course with Python, which is supported by external tools promoting knowledge and practice of what is seen in the course.

par Bryce Y

Feb 03, 2020

This course was presented in a way that challenged me more than other courses in this program. I was very happy to have been challenged to think critically.

par Keerthi K A M

Aug 07, 2020

The assignments carry some general templates for data visualization. Downloading jupyter notebooks of them helps me when i visualise some othe data. Thanks

par Jeevan K J

May 18, 2020

Among all the other courses in IBM Data Science, I liked how this course emphasized on the practicals while giving a good idea in the videos. Thank you Sir

par Vijayalakshmi K

Jul 27, 2019

Lab materials are really good.. and the assignments in the course need additional research than the learning available in the course which is really good..

par Heraclio R

Nov 05, 2018

Really like it, the maps are not working in MS Edge, and took me a lot of time to figure out, those thinks would be great to be announced in the training.

par Hieu D T

Oct 17, 2020

the content is new and interesting to me personally, however some sample codes are now deprecated so you'll have to read the doc from PyPI of the package

par Karl J

Feb 23, 2020

I had a good idea of basic statistical plots, but this course actually shows you how to make them attractive and effective for presentations and reports.