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Avis et commentaires pour l'étudiant pour Data Visualization with Python par IBM

4.6
3,718 notes
403 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

MS

Jul 30, 2019

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...

RL

Aug 08, 2018

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!

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226 - 250 sur 403 Examens pour Data Visualization with Python

par Yui C L

May 09, 2019

Some amazing data visualization methods

par Hadi S

Jun 14, 2019

This course helped me to learn data visualization with Python in more details.

par R A N

Jun 15, 2019

Very informative course and need more practical work

par Viktor B

Jun 15, 2019

Best end lab ever!

par Nava R B

Aug 20, 2019

A very nice and detailed course (labs of course) for the entry level python data visualization

par Arnab K C

Aug 19, 2019

nice.

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 hassan u s

Aug 19, 2019

Nice concepts. real need of this course for every data scientist.

par Phạm T S

Aug 22, 2019

Great experience

This is really a good course, simple to understand and very complete. Thank you!

par Brett R

Aug 28, 2019

Great hands on course. Really enjoyed! Big confidence builder.

par Gregory K

Aug 31, 2019

Excellent course and the final assignment was challenging.

par Steve M

Aug 29, 2019

Another great course!

par Gurubux G

Aug 30, 2019

Basic but so so useful in real world applications. Great Notebooks. Pleasure!

par Alfonso P

Aug 30, 2019

Excellent course, covers data visualization objectives

par Mohammad Z R

Sep 06, 2019

Excellent course.

par Prabhu M

Sep 07, 2019

good

par Frank

Sep 06, 2019

loved the mapping features

par Sathiya P

Sep 09, 2019

Covered all concepts. Really beneficial.

par syed A K

Sep 09, 2019

Extremely Good

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 Mohammed I u

Sep 10, 2019

It was amazing experience of plotting graphs and maps really liked this visualization course!!

par Mengxue S

Sep 10, 2019

Very useful

par JIAXI G

Sep 10, 2019

Nice course to get start with basic data visualization using python

par Akash V

Sep 10, 2019

Such a productive and interesting course. Learned a lot from it.

par Saman S

Sep 11, 2019

It's wonderful