Chevron Left
Back to Data Visualization with Python

Learner Reviews & Feedback for Data Visualization with Python by Coursera Project Network

4.5
stars
261 ratings

About the Course

Visualizing data is used by virtually every discipline these days. It is used for analyzing web traffic to determine peak server load, growth and death rate of populations for biological analysis, analyzing weather patterns over time, stock market trends, and so on. Simply put, Data Visualization brings meaning to numbers that help people understand it. Seeing the data change can draw attention to trends and spikes that may otherwise go unnoticed. Python is an open-source (free) programming language has libraries that can be used to read and make useful graphics to present the data. In this course, you will create an application that reads data from CSV files. You will learn how to visualize the data using various techniques using existing Python libraries. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....

Top reviews

KD

Jul 9, 2020

It is a brilliant introductory course for someone who is just beginning to learn using pandas and matplotlib.

YP

Jun 30, 2020

I felt the course to satisfy my required and have learned practically the various plotting styles.

Filter by:

1 - 25 of 43 Reviews for Data Visualization with Python

By Sheikh S H

Jul 9, 2020

By Ketan D

Jul 10, 2020

By Sagar Z

Jul 16, 2020

By Yogesh P

Jul 1, 2020

By Javier J

Aug 28, 2020

By Salib R

Jul 23, 2020

By Monita Y A

Sep 2, 2020

By Hitesh J

Jul 17, 2020

By Ashwin K

Aug 19, 2020

By Vineet J

Sep 3, 2020

By Marwa A E

Jun 13, 2020

By 이중곤 이

Feb 5, 2021

By Karen G

Oct 21, 2020

By Ashutosh S

Jan 21, 2022

By Cheikh B

Mar 31, 2021

By Lahiru N

Aug 31, 2020

By Alfonso J F T

Aug 5, 2020

By IHAB A M G

Jan 6, 2021

By Mustak A

Mar 23, 2021

By UMRAZ H

Sep 7, 2020

By 1008 B V V

Jan 7, 2022

By Wenyu F

Aug 17, 2020

By Ishita k

Aug 9, 2020

By Jiya M

Feb 4, 2022

By 명수한

Feb 21, 2021