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Learner Reviews & Feedback for Data Visualization with Python by IBM

4.5
stars
9,325 ratings
1,392 reviews

About the Course

"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....

Top reviews

AM
Aug 13, 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
Nov 20, 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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1226 - 1250 of 1,379 Reviews for Data Visualization with Python

By Bhavesh v y

Sep 6, 2020

Video lectures should be more explanatory. The rest quiz and final project were really good.

By Yong S

Sep 20, 2019

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

By YASHAS M

May 18, 2020

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

By Pampa D

Jun 10, 2020

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

By fulvio c

Nov 25, 2019

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

By Constantino C R

Dec 7, 2020

There were a lot of unnecessary repetitive explanations in the videos and the labs.

By Sarang M K

May 23, 2021

Week 5 of this course is difficult and cumbersome please update it in easier way.

By Amogh K

Apr 4, 2020

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

By 李翌辰

Apr 5, 2020

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

By Berkay T

Oct 15, 2019

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

By Kolade F

Apr 30, 2021

Codes too often did not work, please make sure this is better in the future.

By Evangelos D

May 5, 2020

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

By Pablo V V

Mar 18, 2019

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

By Tomer W

Jul 13, 2020

Topics were interesting but the final task was really hard to program.

By Yash M J

Aug 7, 2019

A lot of the code in the jupyter notebooks wasn't explained in detail

By Roshan P

May 5, 2019

It could have more explanation and content. Everything else is good.

By Steve H

Jul 23, 2020

quizzes are overrated vs. assignment, poor communication in forums,

By Rajat K

Apr 12, 2020

Some aspects need updation especially the geodata plots, bar plots

By Daniel R

Sep 14, 2019

Instruction to prepare for the final project was insufficient.

By Enock

Jun 6, 2020

could be better , the last assignment is not well explained.

By Letian D

Mar 11, 2020

Some questions are quite difficult and unseen in the course

By Alok M

Jan 29, 2020

I didn't find the modules very helpful. Okayish Experience

By Nuttaphat A

Jun 18, 2019

At least, this course is way more useful than the others.

By Igor C

May 9, 2020

Learning efficiency of video's material could be better.

By Pragya A

Jan 4, 2019

it could be more intresting ...yeee good for beginners.