With genomics sparks a revolution in medical discoveries, it becomes imperative to be able to better understand the genome, and be able to leverage the data and information from genomic datasets. Genomic Data Science is the field that applies statistics and data science to the genome.
This Specialization covers the concepts and tools to understand, analyze, and interpret data from next generation sequencing experiments. It teaches the most common tools used in genomic data science including how to use the command line, along with a variety of software implementation tools like Python, R, Bioconductor, and Galaxy.
This Specialization is designed to serve as both a standalone introduction to genomic data science or as a perfect compliment to a primary degree or postdoc in biology, molecular biology, or genetics, for scientists in these fields seeking to gain familiarity in data science and statistical tools to better interact with the data in their everyday work.
WHAT YOU WILL LEARN
-Next generation sequencing experiments
-Genomic technologies
-DNA, RNA and epigenetic patterns
-Genome analysis
Coursera
Explore the fascinating world of genomic technologies in this introductory course. Learn about DNA, RNA, epigenetic patterns, next-generation sequencing, and data analysis techniques that are revolutionizing biology and medicine.
Coursera
Discover the power of computational biology by mastering Algorithms for DNA Sequencing. This course will equip you with essential skills in analyzing DNA sequencing data through the implementation of key algorithms and data structures in Python. Explore genomics, understand DNA sequencing applications, and work on real genomes and datasets to enhance your expertise in bioinformatics.
Coursera
Dive into the world of genomic big data analysis with 'Command Line Tools for Genomic Data Science'. This course is designed for those looking to harness the power of command line tools to efficiently manage and analyze vast amounts of genomic information. Whether you're a budding bioinformatician or an experienced researcher, this course will equip you with the skills needed to navigate directories, manipulate files, and work effectively with large datasets in genomics.
Coursera
Dive into the world of Python and iPython with our specialized course designed for genomic data scientists. This course, part of the Genomic Big Data Science Specialization from Johns Hopkins University, will equip you with the necessary programming skills to analyze complex genetic information effectively.
Coursera
Dive into the world of genomics with 'Statistics for Genomic Data Science'. This course, part of Johns Hopkins University's Genomic Big Data Science Specialization, offers an in-depth exploration of the statistical principles that underpin genomic data analysis. Whether you're a budding bioinformatician or looking to enhance your understanding of genetic data science, this course provides essential knowledge and practical skills.
Coursera
Dive into the world of genomic data analysis with 'Bioconductor for Genomic Data Science'. This course, part of Johns Hopkins University's Genomic Big Data Specialization, equips you with essential skills to leverage Bioconductor tools effectively. Whether you're a researcher, biostatistician, or working in genomics, this course will empower your ability to analyze and interpret genomic data.