Data science on COVID-19 / CORONA virus spread data
Analyze COVID-19 data using Python! Learn data handling, machine learning, visualization & spread simulations. Practical skills for pandemic insights.
Course Content
Data science on COVID-19 / CORONA virus spread data is an all-levels Udemy course taught by Frank Kienle. It runs 7h 39m, is taught in English, and includes a certificate of completion. Learners rate it 4.6 out of 5 from 142 reviews, with 773 students enrolled. It is a paid course, last updated May 2023.
Unlock the power of data science with a practical COVID-19 analysis project! This course dives into real-world data science best practices used in the industry, guiding you through the development of a dynamic COVID-19 data dashboard.
You'll gain hands-on experience modeling using Python and applying a robust methodology to solve business problems with frequently updated COVID-19 datasets. Learn to extract valuable insights from daily data and create a powerful tool for tracking the pandemic's progression.
Key skills you'll master:
- Data Modeling with Python: Develop predictive models using industry-standard tools.
- Data Analysis & Visualization: Utilize Pandas for data manipulation and Plotly/Dash to create interactive dashboards.
- Machine Learning for COVID Data: Apply scikit-learn and Facebook Prophet to forecast trends.
- SIR Virus Spread Simulations: Understand and model disease transmission dynamics.
- REST Services Integration: Connect to external data sources seamlessly.
- Deployment & Dashboards: Build a dynamic, one-click update COVID-19 dashboard for easy monitoring.
- Visual Analytics (Bonus): Explore Tableau for advanced data visualization techniques.
We'll follow the CRISP-DM process (Cross-Industry Standard Process for Data Mining) – an iterative, agile approach – covering:
- Business Understanding: Defining clear objectives for your analysis.
- Data Understanding: Sourcing and cleaning COVID-19 data from reliable sources.
- Data Preparation: Transforming and visualizing data for optimal modeling.
- Modeling: Applying statistical methods, machine learning algorithms, and SIR simulations to COVID data.
- Deployment: Delivering your results through interactive dashboards.
Gain practical skills in calculating key metrics like the Doubling Rate of confirmed cases and contribute to a deeper understanding of the COVID-19 pandemic. This course is perfect for aspiring data scientists and anyone interested in leveraging data to address critical global challenges.
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