COVID-19 Dataset Analysis Project Guide

The COVID-19 pandemic produced an unprecedented volume of data related to infections, recoveries, deaths, and vaccinations worldwide. Understanding this data is crucial for healthcare planning, economic forecasting, and public safety measures. Data analysis of COVID-19 trends can reveal key insights such as peak infection periods, country-wise impacts, vaccine rollout effectiveness, and predictive modeling of future outbreaks.

Using real-world COVID-19 datasets, you can apply data cleaning, EDA (Exploratory Data Analysis), statistical modeling, and visualization techniques to extract meaningful patterns. Python libraries like Pandas, Matplotlib, Plotly, and Seaborn can be used to create time series plots, growth curves, regional comparisons, and predictive models. Your project can also highlight healthcare trends and vaccination progress across countries and timelines.

You collect COVID-19 datasets from sources like WHO, Johns Hopkins University, or Kaggle. After cleaning and processing the data, you perform exploratory analysis to find trends like active case growth, mortality rates, and vaccination impact. Time series models such as ARIMA or Prophet can forecast future infection trends. The final output includes dashboards, graphs, and reports highlighting your findings with actionable insights.

• Collect datasets containing daily COVID-19 cases, deaths, recoveries, and vaccination numbers across countries.
• Preprocess: handle missing values, normalize country names, parse dates, and derive new features like recovery rates.
• Analyze data using descriptive statistics, correlation heatmaps, time series visualizations, and trend lines.
• Build predictive models to forecast future infection rates and visualize results using interactive dashboards.
• Deploy final insights into a data storytelling format (dashboard, blog post, or report) for public presentation.

• Johns Hopkins University COVID-19 Data Repository
• Our World In Data COVID-19 Dataset
• Time Series Forecasting with Prophet