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Programming in R to Analyze Biological Data
Original price was: USD $99.00.USD $59.00Current price is: USD $59.00.
An on‑demand recorded course on Programming in R for analyzing biological data—covering R basics, data manipulation, visualization, statistical analysis, and domain‑specific workflows used in life sciences.
Programming in R to Analyze Biological Data
On‑demand recorded course • R programming, data handling, visualization, and analysis for life sciences
Instant Access
R for Biological Data
Data → Visuals → Stats
R for Biological Data
Data → Visuals → Stats
This recorded course introduces you to R programming with a focus on biological data analysis. You’ll learn how to import, clean, manipulate, visualize, and statistically analyze life science datasets using powerful R packages—all through reusable recordings you can watch at your own pace.
What You’ll Learn
- R programming fundamentals and workflow setup
- Importing and cleaning biological datasets in R
- Data manipulation using dplyr and tidyverse
- Visualization with ggplot2 for biological insights
- Statistical tests and modeling for life science data
- Reproducible R workflows for research projects
Course Modules (Recordings)
Module 1 — R Basics & Data Import
Begin with R basics, setting up R/RStudio, and importing biological data from CSV, Excel, and other formats.
Module 2 — Data Manipulation & Visualization
Use dplyr and tidyverse to clean and transform data. Create publication‑ready visualizations using ggplot2.
Module 3 — Statistical Analysis & Reproducibility
Perform statistical tests, interpret results, and build reproducible R analysis workflows useful for research reports and publications.
Who It’s For
Perfect for researchers, PhD scholars, postdocs, faculty, bioinformaticians, and postgraduate students who want to analyze biological data using R.
What You’ll Get
- Immediate access to recorded modules
- Reusable R workflows for data analysis
- Certificate of completion (if included in product package)
Tip: Use the recordings alongside your own datasets—pause, replay, and apply each technique to enhance your research analysis.
Note: This is an on‑demand (recording‑based) learning product. Access and deliverables depend on the product package settings.
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