Data science blogs

The beauty of data science resides in the fact that a great variety of tools can contribute to better research and business solutions. This page presents a selection of blogs that used different analytical and visualization tools. 

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Create insight, make your data alive with dashboards

A dashboard can be a first step to important business or research insight. During data projects, the dashboard can be automatically updated with new data. By combining different channels of information it raises useful questions and supports decision making.

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Automating web analytics through Python

Google Analytics is a powerful tool to track web traffic. Python allows to customize statistics and visualizations, as well as to extract periodically (every week, every month) the data with a single button press.

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Sensor time-series of aircraft engines

It is essential to plan proactively maintenance of engines of airplanes in order to prevent accidents and costly downtime. Using sensor measures of time-series, the current blog shows neural networks analyses using Keras to predict the remaining useful lifetime.

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Webscraping and beyond

Webscraping is the process of acquiring and structuring data from the internet.
This blog explains how to use Python for obtaining the webdata. In addition, several analyses will be presented that allow visualization and statistics.

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Plotly for effective data visualization

Plotly is a very useful tool for data visualization. Very soon, the code can become verbose. Several very good guides exist already. This blog focuses on shortening code with a couple of attractive examples.

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Visualizing European healthcare using Tableau

Tableau is an excellent tool for creating dashboards that shows all important metrics at the same time. In this blog, an example is shown about European healthcare.

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