Bioconductor for Genomic Data Science: Free Course by Johns Hopkins University
Course Description
Course Description
Learn to use tools from the Bioconductor project to perform comprehensive analysis of genomic data. This is the fifth course in the Genomic Big Data Specialization from Johns Hopkins University, designed for bioinformatics and genomic data science enthusiasts. The course covers:
- Introduction to Bioconductor: Understand the basics and installation.
- Data Preprocessing: Clean and prepare genomic data for analysis.
- Data Visualization: Create meaningful visualizations to interpret genomic data.
- Statistical Analysis: Apply statistical methods to analyze genomic data.
- Functional Genomics: Explore gene expression and functional annotation.
By the end of the course, you will be proficient in using Bioconductor tools for genomic data analysis, capable of performing advanced data preprocessing, visualization, and statistical analysis. Ideal for students, researchers, and professionals looking to enhance their skills in genomic data science.
Enroll now to advance your knowledge and skills in genomic data analysis with Bioconductor!
Meta Description
Learn Bioconductor for Genomic Data Science with this free course from Johns Hopkins University. Master data preprocessing, visualization, and analysis. Enroll now!