Detailed AGENDA of the workshop
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Discuss the needs and applications of data analytics in the healthcare industry and give a description of the most recent trends in this field; Introduce Python, its features and use for data preprocessing and analyses. Explain Python libraries (Pandas, Numpy, Scipy, Statsmodels, Scikit-Learn, Matplotlib, Seaborn, Scrapy etc.) and their applications (1 hour).
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Break (10 minutes).
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Demonstration: Installing Python, Loading/importing data (CSV, Excel), selecting and filtering data, deleting columns, data cleaning, sorting, merging etc.(1.15 hours).
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Break (10 minutes)
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Demonstration continues Basic visualizations (Bar chart, Line chart, Scatter plot etc.)., and basic analysis: measures of central tendency(mean, median, mode)Correlation, Chi-Square and t-test. (1.15 hour).
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Questions and Answers (10 minutes).