This workshop aims at providing hands-on training in biostatistics tools and techniques for data analysis. This is a Level 1 workshop i.e. it assumes that participants do not have any formal training in biostatistics. It takes you from the basic concepts of data collection to more advanced topics like hypothesis testing. This workshop also provides a solid platform for students planning to pursue more advanced courses in statistics.
What you will learn?
This is a hands-on workshop where you will be presented with lots of data and case studies for data analysis. Following topics would be covered:
- Statistics and its applications
- Sampling theory
- Descriptive statistics (mean, median, mode, range, percentiles, quartiles)
- Data representation and visualization techniques like histograms, scatter plots, box-plots, bar-charts and many more…
- Dispersion (mean deviation, standard deviation, variance, standard error of means)
- Correlation and Regression (pearson’s r, spearman R, linear regression)
- Probability theory (event space, types of events, probability laws, permutation, combinations)
- Probability distributions (what is distribution, parameters and PDFs of distribution, types – binomial, poisson, normal)
- Parametric statistics involving hypothesis testing (hypothesis formulation, null/alternate hypothesis, confidence intervals, z-test, t-test, chi-square, 1 way ANOVA)
- MS Excel will be used for analyzing all the data. If you don’t know excel, do not worry, it will be covered in the workshop.