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

4.5
étoiles
8,879 évaluations
1,266 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

AM
13 août 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!!!

SS
20 nov. 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 :)

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251 - 275 sur 1,252 Avis pour Data Visualization with Python

par Israel S S

21 août 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

18 janv. 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

25 sept. 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 J C V

19 sept. 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

20 août 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

24 juil. 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

13 août 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

26 juin 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

3 févr. 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

7 août 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

18 mai 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

27 juil. 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

4 nov. 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

17 oct. 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

23 févr. 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.

par Carlos N J

13 janv. 2020

Lots of in-depth labs. However, final assignment required some techniques that were not covered at all, so the difficulty was much higher than expected.

par Juliet M J

27 oct. 2019

A very good course! The Jupyter Notebooks are structured perfectly to follow the steps and action without difficulties. Had a great learning experience!

par Danijel S

28 déc. 2020

Thanks for the well-explained and comprehensible introduction to Data Visualization with Python. The best thing about this course was the lab sessions!

par Kuber B

7 août 2020

The course is designed very well and each topic is explained in easy to understand manner. Also the labs are very well designed to clear the concepts.

par prakriti p

23 mars 2020

I liked the assignment presented by the course. I learned from solving the problems. The constant error with the lab problems discouraged me at times.

par Gregor H

10 oct. 2018

The tutorials are brilliant and very useful! Make sure to complete them and you will get an extremely beneficial intro to several visualisation tools.

par Bakari D

28 juil. 2019

The project was well done. To be successful you have to complete the labs. The lab materials are a really good balance between practical and theory.

par Mish0081

31 janv. 2021

Thoroughly enjoyed this course, and find it super valuable!! I highly recommend this to anyone looking to build data visualization skills in Python.

par José E S V

8 août 2020

Realmente un curso muy practico para aprender sobre todas las herramientas y librerías que ofrece Python para la visualización de datos.

Recomendado

par Venkat N N

30 nov. 2020

Very good entry point into data visualization using Python. Found associated labs and assignments to be very helpful in reinforcing the concepts.