Workshop details

OriGene Biosolutions is a premier life science research and training organization dedicated to advancing bioinformatics and data analysis. Tailored solutions for your bioinformatics needs.

7-Day Workshop on Biostatistics for Life Sciences

About the Workshop


This workshop introduces essential biostatistics concepts and tools for analyzing biological data. Participants will learn descriptive and inferential statistics, hypothesis testing, regression, and data visualization, with hands-on exercises using R programming.

Who Can Join


Life science students, researchers, clinicians, and anyone involved in biological data analysis.

Prerequisites


Basic understanding of biology and mathematics. No prior statistics or programming experience required.

Day 1: Introduction to Biostatistics and Data Types
  • Role of statistics in biological research
  • Types of data: qualitative, quantitative, categorical, continuous
  • Data collection and study design basics
Day 2: Descriptive Statistics and Data Visualization
  • Measures of central tendency (mean, median, mode)
  • Measures of dispersion (variance, standard deviation, IQR)
  • Graphical representation: histograms, boxplots, scatter plots
Day 3: Probability and Distributions
  • Basic probability concepts
  • Common distributions in biology (normal, binomial, Poisson)
  • Understanding p-values and significance
Day 4: Hypothesis Testing and Confidence Intervals
  • Null and alternative hypotheses
  • Types of errors (Type I and II)
  • t-tests, chi-square tests, and non-parametric tests
Day 5: Correlation and Regression Analysis
  • Correlation coefficients and interpretation
  • Simple linear regression
  • Model fitting and assumptions
Day 6: Analysis of Variance (ANOVA) and Experimental Design
  • One-way and two-way ANOVA
  • Factorial designs and interaction effects
  • Multiple comparison tests
Day 7: Advanced Topics and Project Presentation
  • Introduction to multivariate analysis and logistic regression
  • Survival analysis basics
  • Participant project presentations
  • Discussion on applying biostatistics in research