📚 Syllabus & Course Curriculum
Data Science & Analytics
Module-by-module breakdown of RNA-Seq Data Analysis using R and Bioconductor, from foundations to a certified capstone project.
Outline
Analyze the principles of RNA-Seq technology and its applications in gene expression analysis • Develop a comprehensive understanding of the R and Bioconductor packages for RNA-Seq data analysis • Configure the R environment for RNA-Seq data analysis, including installation of necessary packages and libraries
Outline
Evaluate the laboratory protocols for RNA-Seq library preparation and sequencing • Design experiments for RNA-Seq data collection, including sample preparation and quality control • Implement quality control measures for RNA-Seq data, including assessment of sequencing depth and coverage
Outline
Implement bioinformatics tools for RNA-Seq data analysis, including read alignment and quantification • Develop scripts for data processing and analysis using R and Bioconductor • Analyze the results of RNA-Seq data analysis, including differential gene expression and pathway analysis
Outline
Design experiments for RNA-Seq data analysis, including hypothesis testing and sample size calculation • Develop a comprehensive understanding of the research methodology for RNA-Seq data analysis • Evaluate the statistical methods for RNA-Seq data analysis, including hypothesis testing and confidence intervals
Outline
Apply advanced RNA-Seq data analysis techniques, including single-cell RNA-Seq and spatial transcriptomics • Develop a comprehensive understanding of the applications of RNA-Seq data analysis in translational research • Implement RNA-Seq data analysis pipelines for large-scale datasets, including batch effect correction and data integration
Outline
Evaluate the regulatory compliance requirements for RNA-Seq data analysis, including HIPAA and IRB regulations • Develop a comprehensive understanding of the bioethics principles for RNA-Seq data analysis • Implement safety standards for RNA-Seq data analysis, including data security and confidentiality
Outline
Analyze the industry applications of RNA-Seq data analysis, including pharmaceutical and biotechnology industries • Develop a comprehensive understanding of the career pathways for RNA-Seq data analysts • Evaluate the case studies of RNA-Seq data analysis in real-world applications, including precision medicine and personalized therapy
Earn government-registered certification in RNA-Seq Data Analysis using R and Bioconductor
e-Certificate and e-Marksheet issued on successful completion.
