Chevron Left
Back to Data Visualization with Python

Learner Reviews & Feedback for Data Visualization with Python by IBM

4.5
stars
11,723 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

JG

Invalid date

This is a very helpful course. It introduces a variety of data visualization tools. The interesting practices in the lab sessions inspired me to explore different solutions for a problem.

HK

Invalid date

Very challenging, yet that's what make it's rewarding. Even though the course only takes 3 weeks, its difficulty is on par with the longer previous course. I enjoyed every problems on it!

Filter by:

1651 - 1675 of 1,845 Reviews for Data Visualization with Python

By Ricardo S

Dec 14, 2020

Videos could have been a bit more engaging

By Debra C

Mar 24, 2019

Course was okay, not great but worthwhile.

By Gabriel d C C

Mar 31, 2020

Muitos problemas com ferramentas externas

By RITIK S

Mar 23, 2020

All the time practice lab is not working.

By LIM K W

Jan 2, 2020

Easily encounter 503 errors for the labs

By Andrés M

Mar 8, 2023

too many problems with theia labs

By VIGNESHKUMAR R

Dec 25, 2019

Need to improve more please

By Marina H

Nov 19, 2019

Some code did't work in Labs

By Zhivko Z

Dec 4, 2022

Very badly designed course

By Biswa B

May 18, 2021

I didn't like this course.

By Anmol P

Nov 6, 2019

More content and examples

By Em

Oct 29, 2019

The labs are very buggy.

By Naman S

Apr 17, 2020

Could have been better

By YIFAN H

Oct 7, 2019

好多东西根本没说啊,然后就要做作业,一脸懵逼

By Mark P

Sep 18, 2019

JSON links are broken.

By 4004_Musfiqul A

Feb 18, 2020

Need more hand notes

By pranav s

May 15, 2020

I found it boring

By Adil J

Jul 1, 2019

Can be better

By Mix U T

May 17, 2020

course is ok

By Gloria S

Aug 15, 2019

too basic

By Fabio B

Mar 15, 2019

Too basic

By Vu C T

Sep 22, 2021

By Matt N

Dec 30, 2021

There is a section of the videos about 1.5 minutes long where you have to listen to "Now lets process the data frame so the country name becomes the index of each row. This should make retrieving rows pertaining to specific countries a lot easier. Also lets add an extra column that represents the cumulative sum of annual immigration, from each country, from 1980 to 2013. So for Afghanistan for example it is 58639 total, and for Albania it is 15699 and so on. And lets name our data frame DF_Canada".....

This replays in each of the what 10-12 videos or so... It adds no value whatsoever because its just saying that same thing without actually showing how we accomplished that. So its a loop about half the size of each video with non-pertinent information. Fast forward to week 4 and we suddenly jump into Dash. I found Dash to be very interesting, but the learning curve was steep since we didnt really discuss Dash in any of the videos. You are learning it purely off the workshops which uses an IBE that we do not use in any of the other courses in the Data Analyst Certification series.... I would recomend adding value content to the videos and not relying as heavily on the self directed labs to do the training for this course.

By Ian R

Feb 18, 2021

This course needs some significant remodeling in order for users to feel like they learned something from this course. I couldn't finish the final assignment because visually speaking, it was so hard to follow. Furthermore, the final assignment was creating a dashboard, which covered Week 4. There was no graded assignment that covered Weeks 1-3. Luckily, that material was easy to follow. Not sure what the point of having the material for Weeks 1-3 is if we are not going to be tested on this material via a final assignment.

To make this course more worthwhile, I think there should be a graded peer review assignment for Weeks 1-3, so learners have a chance to test their knowledge on this material. Then have an assignment that addresses dashboards. I also think it would be easier the dashboard assignment in IBM Watson Studio.