Course 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.
Certificate Course in Biostatistics with R Programming
Level
Intermediate
Intermediate
Duration
1 Month | 8 hours per week
1 Month | 8 hours per week
Flexible Schedule
Learn from anywhere.
Learn from anywhere.
Modules
4
4
Capsote Project
Real-world project with publication.
Real-world project with publication.
Course Modules
Enroll Now- Overview of biostatistics in biology
- Installing and setting up R and RStudio
- Basic R programming: variables, vectors, data frames
- Importing and cleaning biological data
- Plotting with ggplot2: scatter plots, histograms, boxplots
- Summary statistics: mean, median, variance, standard deviation
- Data distributions and normality tests
- Hands-on: Visualizing gene expression or clinical data
- t-tests, chi-square tests, and non-parametric tests
- Confidence intervals and p-values
- Correlation and association analyses
- Practical examples in biological contexts
- Linear regression basics and interpretation
- Multiple regression and logistic regression overview
- One-way and two-way ANOVA
- Hands-on project: Analyze a biological dataset and interpret results
Course Overview
This course teaches foundational biostatistics concepts and equips learners with practical skills to analyze biological data using R programming. It covers data visualization, hypothesis testing, regression, and basic statistical modeling with real biological datasets.
This course teaches foundational biostatistics concepts and equips learners with practical skills to analyze biological data using R programming. It covers data visualization, hypothesis testing, regression, and basic statistical modeling with real biological datasets.
What You'll Learn
Core biostatistics concepts applied to life sciences
Data manipulation and visualization in R
Hypothesis testing and statistical inference
Regression analysis and ANOVA
Practical application of statistics in experimental biology
Who Can Register
Life science students, researchers, and professionals new to statistics or R programming.
Life science students, researchers, and professionals new to statistics or R programming.
Prerequisites
Basic understanding of biology and experimental design
No prior R programming experience required