Track
Start exploring the world of computational biology with essential Bioconductor packages and workflows for next-generation sequencing data analysis.
Loved by learners at thousands of companies
Make progress on the go with our mobile courses and daily 5-minute coding challenges.
Course
Learn to use essential Bioconductor packages for bioinformatics using datasets from viruses, fungi, humans, and plants!
Learn to use essential Bioconductor packages for bioinformatics using datasets from viruses, fungi, humans, and plants!
Course
Use RNA-Seq differential expression analysis to identify genes likely to be important for different diseases or conditions.
Use RNA-Seq differential expression analysis to identify genes likely to be important for different diseases or conditions.
Course
Learn to use the Bioconductor package limma for differential gene expression analysis.
Learn to use the Bioconductor package limma for differential gene expression analysis.
Course
Learn how to analyse and interpret ChIP-seq data with the help of Bioconductor using a human cancer dataset.
Learn how to analyse and interpret ChIP-seq data with the help of Bioconductor using a human cancer dataset.
Analyzing Genomic Data in R
Track
Complete
Statistician
Yes, this Track is designed for beginners in bioinformatics. Although some basic knowledge of the R programming language is recommended, the Track will include detailed step-by-step instructions on how to use Bioconductor and install the essential packages.
This Track uses the R programming language.
This Track will provide an introduction to bioinformatics and positions such as bioinformaticians, data scientists, and computational biologists will benefit from this Track.
This Track will provide an introduction to bioinformatics and data analysis software specifically designed for the bioinformatics domain. It will cover topics such as chip-sequencing data, differential expression analysis and RNA sequencing. This Track will help prepare you for future roles in bioinformatics.
This Track usually takes 16 hours to complete as it consists of several courses that significantly upskill users.
A skill track focuses on building domain-specific skills and provides real-world exercises and datasets. A career track is focused on helping users better prepare for a specific job or career path and offers mentorship and opportunities to apply for job roles.
The tracks helped me complete my journey without feeling lost. Each course builds on the last, keeping me motivated and on track
DataCamp helped me transition from someone curious about data to someone actively applying these skills in my job
I've been using DataCamp for four years, and it's helped me transition from filling gaps in my skills to proactively creating value for my company
