Learner Reviews & Feedback for Data Visualization with Python by IBM

4.5

stars

12,170 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

Aug 14, 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!!!

May 16, 2019

More in class projects similar to final assignment where we can challenge our knowledge as we are all remote and it takes time to communicate through the available coursera forums. Thank you.

Filter by:

1426 - 1450 of 1,936 Reviews for Data Visualization with Python

By kaveer s

•

Apr 8, 2019

great course content but it should be more disciptive

By Vivek P

•

Jun 10, 2020

The course was good, but some documents were missing

By Satya V P C

•

Jul 18, 2019

Very nice course with all explanations and examples.

By Yohanna H

•

Apr 14, 2021

Some of the code they give you to update is buggy.

By Yang D

•

Feb 15, 2019

All the course is good except the final assignment

By Ishani S

•

Apr 25, 2020

The course was thorough in data analysis content.

By Hunter I

•

Apr 18, 2020

Liked it a lot, a little rushed but learned a bit

By Brian T

•

Feb 26, 2020

good data visualization for business intelligent

By Tianyi L

•

Feb 24, 2020

Projects are interesting. Labs could teach more.

By Mohammad Z P

•

Jul 22, 2019

The labs and assignments are really interesting.

By Stijn d b

•

Mar 11, 2019

most interesting course in the IBM python series

By DEEPTI C

•

May 5, 2020

all parameters/options not explained in videos.

By manish c

•

Apr 4, 2020

best course for beginners in data visualization

By Rajdeep R C

•

Jul 19, 2019

It was good. Though the video content was less.

By Angela O

•

Jun 12, 2024

Lab instructions often unclear or inconsistent

By Sai K K

•

Aug 1, 2021

I had learned many new things in this course

By Christopher R

•

Nov 1, 2020

Some of the labs had confusing instructions.

By Patricia W

•

Sep 1, 2020

Great course, good information! Learn a lot!

By Jen S

•

Apr 15, 2024

The platform to learn Dash was frustrating.

By Arya V

•

Jun 28, 2020

videos should have more examples with code

By Christian

•

May 18, 2020

The final assignment is really complicated

By Marc V

•

Aug 9, 2020

A bit more charged, but liked the whole.

By Xiao H

•

Aug 20, 2022

I am not very clear with all the samples

By Pedro G F

•

Apr 16, 2020

Notebooks in Week 3 need some updating!

By Eduardo L S

•

Mar 4, 2021

Great course with useful lab exercises