Professional Certificate in Bio-Computing Data Visualization

• Data Visualization Fundamentals – Understanding the basics of data visualization, principles of design, and effective visual communication. • Introduction to Bio-Computing – Overview of bio-computing, its applications, and significance in the field of bioinformatics. • Data Preprocessing for Bio-Computing – Techniques for cleaning, transforming, and preparing data for visualization in bio-computing. • Data Visualization Tools & Techniques – Hands-on experience with popular data visualization tools and techniques, such as ggplot2, seaborn, and matplotlib. • Advanced Data Visualization – Exploration of advanced data visualization methods, including interactive visualizations and 3D visualizations. • Visualizing Genomic Data – Techniques for visualizing genomic data, such as sequence alignment, gene expression, and phylogenetic trees. • Data Visualization in Proteomics – Methods for visualizing proteomic data, including protein-protein interactions, protein structures, and mass spectrometry data. • Visualizing Metagenomics Data – Approaches for visualizing metagenomics data, including community composition, diversity, and functional profiling. • Best Practices in Data Visualization – Guidelines for creating effective and ethical data visualizations, including accessibility and storytelling. • Data Visualization Project – Application of data visualization techniques and tools to a real-world bio-computing problem.