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

4.6
étoiles
7,982 évaluations
1,081 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

SS

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 :)

RS

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.

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826 - 850 sur 1,066 Avis pour Data Visualization with Python

par Hassan H

Sep 09, 2019

Some of the lab exercises were not available online/was having problem accessing them.

par Yeh Y J

Jan 18, 2020

will be good if the module can elaborate more on how to add data label as annotation.

par Saurabh G

Aug 07, 2019

Good course. I wish they had more details on how the layers in the Geo charts worked.

par Gajula J

Jul 26, 2018

nice course but needs few improvements, screen recordings needed rather than slides.

par Alex P

Jul 27, 2020

The data processing in the assignment could align more with the examples provided.

par Askhat A

Apr 01, 2020

Some minor issues regarding e.g. Folium installation (mentioned in Forum section)

par Shawn F

Jan 09, 2019

assignments are using too many techniques which tutorial videos are not included

par Kiran V K

Oct 27, 2019

No proper Lab Instructions. But was a good course in terms of topics covered.

par Guy P

Dec 10, 2018

Very good course but labs contained many typos which were sometimes confusing

par Brijesh O

May 10, 2020

Need more methodic explanations on the key functions and parameters , kwarg

par Gustavo P F d X

Mar 23, 2020

There are some problems with the labs according to installation required.

par Prashant

Apr 04, 2019

The last section of advance Visualization lab could have been more better

par LAURA T G

Feb 17, 2020

Mmany mistakes that make the studentsd work and stress more tan required

par ARCHANENDRA S

Dec 07, 2019

Excellent study material and brief description of visualization concepts

par Apoorv T

Jul 30, 2020

the spatial analysis is new to me and want more detailed study chapters

par Alvaro L F

Mar 18, 2019

It would be good to make another section only for seaborn or bokeh

par Carlos E d C A

May 06, 2020

Felt like there could be more information in the last week lab.

par Kang R K

Nov 06, 2019

short course but learn useful python package Folium efficiently

par William O

Apr 28, 2020

Thanks for the content of this course. I really learned a lot.

par Nicolás G S I

Jul 31, 2019

The final assignment is not too clear.Question 2 specifically.

par Serdar M

Nov 26, 2018

more explanation on functions' and methods' parameters needed

par Frank H

Feb 06, 2020

Some new packages i've never seen. Map one was really cool.

par Hong W

May 14, 2020

Good course to learn basic knowledge of data visualization

par Kevin D

Sep 26, 2019

first of the courses where things weren't spoonfed to you.