Hacker News Comments on "Data science on COVID-19 / CORONA virus spread data" Udemy / Frank Kienle

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Hacker News Comments on
Data science on COVID-19 / CORONA virus spread data

Udemy · Frank Kienle · 3 HN points · 0 HN comments

HN Academy has aggregated all Hacker News stories and comments that mention Udemy's "Data science on COVID-19 / CORONA virus spread data" from Frank Kienle.

Course Description

The goal of this lecture is to transport the best practices of data science from the industry while developing a CORONA / COVID-19 analysis prototype

The student should learn the process of modeling (Python) and a methodology to approach a business problem based on daily updated COVID 19 data sets

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

For this, we will follow an industry-standard CRISP process by focusing on the iterative nature of agile development

Business understanding (what is our goal)
Data Understanding (where do we get data and cleaning of data)
Data Preparation (data transformation and visualization)
Modeling (Statistics, Machine Learning, and SIR Simulations on COVID Data)
Deployment (how to deliver results, dynamic dashboards in python and Tableau)

HN Academy Rankings

This course is unranked · view top recommended courses

Provider Info

This course is offered by Frank Kienle on the Udemy platform.

Go to Udemy Course Page [↗]

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Hacker News Stories and Comments

All the comments and stories posted to Hacker News that reference this url.

Covid Analytics Lecture

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Mar 07, 2021 · 2 points, 1 comments · submitted by kienlef

⬐ kienlef
Hello, exactly one year ago I was under quarantine due to Covid and I composed this lecture. All scripts are still working - checked it todoy. Stay healthy cheers

Lecture: Applied Data Science Covid-19 data analysis

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Nov 15, 2020 · 1 points, 2 comments · submitted by kienlef

⬐ kienlef
Forgot to post the Github link with the ressources: https://github.com/kienlef/Lecture_Covid_19_data_analysis

⬐ kienlef
The 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

Hacker News Comments on Data science on COVID-19 / CORONA virus spread data

Hacker News Stories and Comments

Hacker News Comments on
Data science on COVID-19 / CORONA virus spread data