Chevron Left
Back to Data Visualization with Python

Learner Reviews & Feedback for Data Visualization with Python by IBM

4.5
stars
11,492 ratings

About the Course

One of the most important skills of successful data scientists and data analysts is the ability to tell a compelling story by visualizing data and findings in an approachable and stimulating way. In this course you will learn many ways to effectively visualize both small and large-scale data. You will be able to take data that at first glance has little meaning and present that data in a form that conveys insights. This course will teach you to work with many Data Visualization tools and techniques. You will learn to create various types of basic and advanced graphs and charts like: Waffle Charts, Area Plots, Histograms, Bar Charts, Pie Charts, Scatter Plots, Word Clouds, Choropleth Maps, and many more! You will also create interactive dashboards that allow even those without any Data Science experience to better understand data, and make more effective and informed decisions. You will learn hands-on by completing numerous labs and a final project to practice and apply the many aspects and techniques of Data Visualization using Jupyter Notebooks and a Cloud-based IDE. You will use several data visualization libraries in Python, including Matplotlib, Seaborn, Folium, Plotly & Dash....

Top reviews

LS

Nov 27, 2018

The course with the IBM Lab is a very good way to learn and practice. The tools we've learned in this module can supply a good material to enrich all data work that need to be presented in a nice way.

CJ

Apr 22, 2023

Learnt a lot from this visualization course. The one I found most interesting was making the dashboard. Although sometime the code and indentation are tedious, but this might be useful in the future.

Filter by:

1576 - 1600 of 1,795 Reviews for Data Visualization with Python

By Sarang 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 Miller L

•

Apr 5, 2020

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

By Giovanni B

•

Nov 29, 2023

Too many details, very long exercices. Quiz questions not really clear/useful

By Berkay T

•

Oct 15, 2019

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

By Juliev Z

•

Dec 19, 2022

Dash and Ploty part was difficult due to long html codes i don't understand.

By Lorenzo A

•

Jul 18, 2022

it was a large chunk, but honestly I cannot think in a better way to do it.

By Kolade F

•

Apr 30, 2021

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

By dumebi j

•

Sep 25, 2021

the dash peep grade exam is not great, order that than it was a good course

By Evangelos D

•

May 5, 2020

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

By Pratyush R

•

Apr 16, 2023

work on your final quiz questions,the questions options were not correct.

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 Asibur R

•

Nov 5, 2022

It was great, until things messed me up, and didn't clear that up

By Ryan A P

•

Feb 22, 2022

The worst Course in the IBM data science professional Certificate

By Daniel R

•

Sep 14, 2019

Instruction to prepare for the final project was insufficient.

By Matthew S

•

Apr 9, 2023

Course is clunky in places, not a ton of retroactive support

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.