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Data Visualization with Python

IBM via Coursera


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.

Taught by

Alex Aklson


4.0 rating, based on 1 Class Central review

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  • Berbelek completed this course, spending 5 hours a week on it and found the course difficulty to be medium.

    Nice course covering data visualization in Python and matplotlib. It would be great to get some more explanations about basics and "syntax" of the library. The course provides some basic examples and code taking hands-on approach, which is also fine.

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