Genomic Data Science Specialization

Because genomics is causing a revolution in medical discoveries, it is critical to be able to better comprehend the genome and exploit data and information from genomic databases. Genomic Data Science is the study of the genome using statistics and data science.

This specialization introduces the ideas and methods needed to comprehend, evaluate, and interpret results from next-generation sequencing research. It covers the most frequently used tools in genomic data science, such as how to utilize the command line, as well as software implementation tools such as Python, R, and Bioconductor. This specialization is intended to serve as a standalone introduction to genomic data science as well as a perfect complement to a primary degree or postdoc in biology, molecular biology, or genetics for scientists in these fields seeking to gain familiarity with data science and statistical tools in order to better interact with data in their daily work.

This course will expose you to the fundamental biology of contemporary genomics as well as the experimental methods used to quantify it. The Central Dogma of Molecular Biology will be introduced, as well as how next-generation sequencing may be used to analyze DNA, RNA, and epigenetic patterns. You'll also learn about essential ideas in computing and data science that will help you comprehend how data from next-generation sequencing tests is created and processed. This class provides an introduction to the Python programming language and the iPython notebook. This is the third Genomic Big Data Science Specialization course at Johns Hopkins University. You will learn computational methods—algorithms and data structures—for analyzing DNA sequencing data.

You will learn a little about DNA, genomics, and how DNA sequencing is used. You will use Python to implement key algorithms and data structures and to analyze real genomes and DNA sequencing datasets. It introduces you to the commands that you need to manage and analyze directories, files, and large sets of genomic data. This is the fourth Genomic Big Data Science Specialization course at Johns Hopkins University. Learn to use tools from the Bioconductor project to perform analysis of genomic data. This is the fifth Genomic Big Data Specialization course from Johns Hopkins University. An introduction to the statistics behind the most popular genomic data science projects. This is the sixth course in the Genomic Big Data Science Specialization from Johns Hopkins University. This is one of the best online genetics courses.

This course offers

• Shareable Certificate
• 100% online courses
• Flexible Schedule
• Intermediate Level
• Approximately 6 months to complete
• Subtitles: English, Arabic, French, Portuguese (European), Serbian, Italian, Vietnamese, German, Russian, Spanish

Coursera rating: 4.3/5

Enroll here: https://www.coursera.org/specializations/genomic-data-science#courses