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Description


In this course, you will learn how to convert large volumes of data into visual elements to clearly and efficiently communicate their meaning. We will use diagrams, maps, and statistical graphs to intuitively communicate the most relevant information.

To do this, you will learn how to create the most relevant graphs with the Matplotlib library and edit their content and visual appearance.

Then, we will get to know the Seaborn library, which will allow us to create complex graphs in a few lines of code in an efficient way.

Next, we will see how to represent information on maps using the Folium library. We will learn how to control the properties of these maps and how to add markers to the locations we want to highlight, as well as how to create choropleth and density maps.

Finally, through the Plotly and Dash libraries, we will learn how to create dashboards that allow us to monitor all the relevant properties of a system through graphs.

The tools that we'll use

Matplotlib logo
Matplotlib

Matplotlib is the main plotting library in Python.

Seaborn
Seaborn

Seaborn is a Python data visualization library based on Matplotlib.

Plotly

Plotly's Python graphing library makes interactive, publication-quality graphs.

Course Price


Prerequisites


The only prerequisite of this course is having a basic fluency with the Python programming language.


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Example Curriculum

  Welcome!
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  Matplotlib
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  Data exploration with matplotlib: Iris dataset
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  Image manipulation with matplotlib
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  Seaborn
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  Data exploration with Seaborn: Titanic dataset
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  Data exploration with Seaborn: Penguin species
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  Data exploration with Seaborn: monthly number of flights
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  Plotly
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  Data exploration with Plotly: Wind dataset
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  Data exploration with Plotly: FMRI
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  Data exploration with Plotly: Stocks
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  Data exploration with Plotly: price of diamonds
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  Data exploration in Plotly: car sharing in Montreal
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  Data exploration in Plotly: car accidents in the US
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  Dash
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  Results presentation: World Bank data
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  Results presentation: e-commerce website traffic
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