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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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951 - 975 sur 1,252 Avis pour Data Visualization with Python

par Vishal P

21 nov. 2019

Good Skills Learnt. However, some of the labs have outdated codes. They need to be updated.

par alberto i

15 juil. 2019

very well structured and insightful, gives you a good idea of the potentiality of the tool

par Kostiantyn P

4 avr. 2020

Lab environment loads very slowly for me, not sure why. library installation tooks ages.

par Esteban A

18 juin 2020

It is a solid intermediate course to deep inside the graphical posibilities of Python.

par Hassan H

8 sept. 2019

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

par Yeh Y J

18 janv. 2020

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

par Saurabh G

7 août 2019

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

par Gajula J

26 juil. 2018

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

par Alex P

27 juil. 2020

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

par Askhat A

1 avr. 2020

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

par Shawn F

9 janv. 2019

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

par Michael L

26 févr. 2021

Provided foundational information to work with data visualizations with Python.

par Kiran V K

27 oct. 2019

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

par Guy P

10 déc. 2018

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

par Abeer

20 sept. 2020

very good in explaining an introduction in data visualization with python .

par Brijesh O

10 mai 2020

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

par Gustavo P F d X

23 mars 2020

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

par Prashant S

4 avr. 2019

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

par LAURA T G

17 févr. 2020

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

par ARCHANENDRA S

6 déc. 2019

Excellent study material and brief description of visualization concepts

par Apoorv T

30 juil. 2020

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

par Diego A P

6 déc. 2020

A broad range of visualizations explained fast and straightforward.

par Alvaro F

18 mars 2019

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

par anish k

20 août 2020

Good enough to learn basic skills of data visualization library.