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Applied Data Science COVID-19 data analysis
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⬐ kienlefForgot to post the Github link with the ressources: https://github.com/kienlef/Lecture_Covid_19_data_analysis⬐ kienlefThe lecture COVID-19 data analytics was given at the Technical University Kaiserslautern, Germany, Summer 2020. The goal is to transport the best practices of data science from the industry while developing a COVID-19 analysis prototype.
The student should learn the process of modeling (Python) and a methodology to approach a business problem.
The final result will be a dynamic dashboard - which can be updated by one click - of COVID-19 data with filtered and calculated data sets like the current Doubling Rate of confirmed cases
Techniques used are REST Services, Python Pandas, scikit-learn, Facebook Prophet, Plotly, Dash, and SIR virus spread simulations + bonus section Tableau for visual analytics
The lecture was recorded quite early during the pandemic in March 2020 when the lecturer was in quarantine and had to prepare for the new lecture season purely in remote style. Any feedback for improvement is welcome. best regards Frank