Global Certificate in Bio Data: Frontiers of Science
-- ViewingNowThe Global Certificate in BioData: Frontiers of Science is a comprehensive course, designed to equip learners with essential skills for career advancement in the rapidly evolving field of BioData. This course emphasizes the importance of data-driven decision-making in biological research and medicine, and covers a range of topics including genomics, biostatistics, and machine learning.
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⢠Introduction to Bioinformatics: Overview of bioinformatics, its history, applications, and significance in modern science. Understanding the basic concepts and tools used in bioinformatics.
⢠Data Management in Bioinformatics: Techniques for storing, retrieving, and analyzing large-scale biological data. Exploring databases, data formats, and data standards used in bioinformatics.
⢠Genomics and Genetic Data Analysis: Introduction to genomics, gene sequencing, and genetic data analysis. Understanding the basic principles of genetics, gene function, and gene regulation.
⢠Proteomics and Protein Data Analysis: Overview of proteomics, protein sequencing, and protein data analysis. Understanding the basic principles of protein function, structure, and dynamics.
⢠Transcriptomics and RNA Data Analysis: Introduction to transcriptomics, RNA sequencing, and RNA data analysis. Understanding the basic principles of gene expression, RNA processing, and RNA regulation.
⢠Bioimage Informatics: Overview of bioimage informatics, image analysis, and visualization. Understanding the basic principles of image processing, machine learning, and deep learning in bioimage informatics.
⢠Systems Biology and Systems Medicine: Introduction to systems biology, systems medicine, and network analysis. Understanding the basic principles of complex systems, disease modeling, and drug discovery.
⢠Ethical, Legal, and Social Issues in Bioinformatics: Overview of ethical, legal, and social issues in bioinformatics. Understanding the basic principles of data privacy, data sharing, and data security in bioinformatics.
⢠Emerging Topics in Bioinformatics: Introduction to emerging topics in bioinformatics, including single-cell omics, synthetic biology, and artificial intelligence in bioinformatics.
Note: The above list of units is not
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