Data science on COVID-19 / CORONA virus spread data

🌐 Master Data Science with Python in the Age of COVID-19 🦠

Course Title: Data science on COVID-19 / CORONA virus spread data analysis with Python

Course Headline: Analysis of CORONA / COVID-19 virus data with Python: data handling, machine learning, visualization, spread simulations

Dive into the world of data science and apply it to one of the most critical issues of our times: the analysis of COVID-19 data. In this comprehensive online course, Frank Kienle will guide you through the process of extracting meaningful insights from vast amounts of data related to the spread of the CORONA / COVID-19 virus. 📊🖥️

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.

As a student in this course, you will not only understand the process of modeling using Python but also learn a robust methodology to approach business problems with up-to-date COVID-19 datasets. Your journey will culminate in creating a dynamic dashboard that can be updated with a single click, showcasing filtered and calculated data sets such as the current Doubling Rate of confirmed cases.

Key Technologies & Tools:

• REST Services for data acquisition
• Python Pandas for data manipulation and analysis
• scikit-learn for machine learning algorithms
• Facebook Prophet for time series forecasting
• Plotly and Dash for interactive visualizations
• SIR Virus Spread Simulations to model the epidemic dynamics
• Bonus Section: Tableau for advanced data visualization analytics

Course Structure:

Following an industry-standard CRISP (Cross-Industry Standard Process), this course emphasizes the iterative nature of agile development. Here's how we will tackle the project:

1. Business Understanding: Define your goals and objectives for the COVID-19 analysis.
2. Data Understanding: Source, clean, and understand the data sets you'll be working with.
3. Data Preparation: Transform and visualize your data to uncover initial insights.
4. Modeling: Apply statistics, machine learning, and SIR simulations to analyze COVID-19 data.
5. Deployment: Deliver your findings through dynamic dashboards in Python and advanced visualizations with Tableau.

What You Will Learn:

• Business Problem Solving: Apply data science techniques to real-world business problems.
• Data Handling: Master data manipulation, cleaning, and preparation with Python Pandas.
• Machine Learning: Explore various machine learning algorithms using scikit-learn.
• Time Series Forecasting: Utilize Facebook Prophet for accurate predictions of COVID-19 cases.
• Data Visualization: Create stunning visualizations with Plotly and Dash to communicate your findings effectively.
• Epidemic Modeling: Simulate virus spread using the SIR model to understand infection dynamics.
• Bonus Skill: Enhance your data storytelling skills using Tableau, a powerful tool for interactive dashboards.

Join us on this enlightening journey and become proficient in applying data science to combat one of the biggest challenges humanity has faced in recent times. Your expertise could lead to better decision-making and provide valuable insights into managing public health crises. Enroll now and be a part of shaping our future with data! 🚀📈

Sign Up Now - Embark on this transformative learning adventure today!