What will you learn in COVID19 Data Analysis Using Python Sheets Course
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Prepare and preprocess COVID-19 and life-factors datasets.
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Choose and calculate meaningful measures for analysis.
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Merge datasets and find correlations.
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Visualize results using Seaborn charts.
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Work hands-on with pandas, Matplotlib, and Seaborn in a split-screen, browser-based environment.
Program Overview
Module 1: COVID-19 Data Analysis Using Python
⏳ 100 minutes
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Topics: Import and preprocess COVID-19 and World Happiness datasets; Merge datasets, calculate metrics, explore correlations, and visualize with Seaborn
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Hands-on: Load and clean data; Drop unnecessary columns and aggregate rows; Compute analysis measures; Merge datasets; Generate correlation plots using Seaborn
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Job Outlook
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Builds practical data analysis and visualization skills for data-driven roles.
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Ideal for careers like Data Analyst, Data Scientist, Health Data Analyst, or Epidemiologist.
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Particularly valuable in public health, research, and policy sectors.
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Entry-level data roles in India often range around ₹5–10 LPA; internationally, they span $50,000–$90,000 USD.
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