Course description
Genomic Data Science Specialization
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, and Bioconductor.
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Upcoming start dates
Suitability - Who should attend?
Some related experience required.
Outcome / Qualification etc.
What you will learn
- Next generation sequencing experiments
- Genomic technologies
- DNA, RNA and epigenetic patterns
- Genome analysis
Skills you will gain
- Bioinformatics
- Statistics
- Data Science
- Computational Biology
- Biopython
- Python Programming
- Genomics
- Bioinformatics Algorithms
- Algorithms
- Algorithms On Strings
- Samtools
- Unix
Training Course Content
- Introduction to Genomic Technologies
- Python for Genomic Data Science
- Algorithms for DNA Sequencing
- Command Line Tools for Genomic Data Science
- Bioconductor for Genomic Data Science
- Statistics for Genomic Data Science
Course delivery details
This course is offered through Johns Hopkins University, a partner institute of Coursera.
Suggested pace of 2 hours/week
Expenses
Please visit the Institute website for more information about tuition fees