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

4.6
étoiles
7,969 évaluations
1,079 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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976 - 1000 sur 1,065 Avis pour Data Visualization with Python

par Sokob C

Jul 21, 2020

It was a difficult course but it could've been better if there were little short quizzes during all the videos.

par Aman R

Jun 05, 2020

A lot of techniques have not been covered in the module even though they did show up in the final assessment.

par Henrie E N

May 29, 2020

The course content and labs are a bit light on context considering the work required in the final assignment.

par Mayank S

Feb 12, 2020

Very less detail and seaborn was not covered which is better for visualisation than matplotlib in most cases.

par Jonathon V

Apr 23, 2019

Some of the notebooks given did not function correctly, overall did not ruin the learning experience thought.

par Nejc M

Jun 11, 2019

More information about Plots, charts and overall things could be provided in the videos - on the slides.

par Nicholas F

Dec 20, 2019

There were some gaps between the taught material and the final assignment. Overall, I learned from it.

par PVS S

Oct 16, 2019

most of the material explains bits and pieces. Conceptual and Fundamental knowledge is not covered.

par Andrew C

Mar 03, 2020

recapping the data set in nearly every video was very repetitive and didn't add any learning value

par SHALINI G

Sep 09, 2019

The final assignment is more difficult compared to what is taught in the videos and lab sessions.

par Denis R

Jan 04, 2020

Some lab instructions and links to files do not work and no real help is provided in the forums.

par Meng L

Jun 28, 2019

I like the lab work but the jupyter notebook is so low to work with creating the Choropleth map.

par Chang C

Nov 10, 2019

The caption is very hard to save as a note sentence by sentence. They always crunch as a whole.

par Vinayak R S

Jul 09, 2019

Course design could have been better.Still a good course.Had to research a lot for this Course.

par Elmedin S

Apr 05, 2020

Very interesting chapter, but the labs don't load or even when they load, they were very slow.

par Aravindan S

Dec 17, 2019

This course explains very briefly about the kinds of plots. It should have been more detailed.

par Yong S

Sep 20, 2019

A lot of the things in the final project were not even touched upon in the course materials.

par YASHAS M

May 18, 2020

Needs lesser recaps in each one of the videos. The course could have been much shorter.

par Pampa D

Jun 10, 2020

It is a great course. I learned a lot. However there are lot of rooms for improvement.

par fulvio c

Nov 25, 2019

The training video are missing most of the commands required for the final assignment

par Amogh K

Apr 04, 2020

The final assessment isn't suited for people just starting out with Data Science.

par Miller L

Apr 05, 2020

The lab test of each assignment is not easy to understand or to learn more on it

par Berkay T

Oct 15, 2019

Not well structured. So many topics left with shallow and quick explanations.

par Evangelos D

May 05, 2020

The assignment was quite difficult because the learning material was poor.

par Pablo V V

Mar 18, 2019

More exercises pleases. I need more practice. Please answers discussions.