The course is intended for students in the biomedical sciences and researchers who have been given data and don鈥檛 know what to do with it or would like an overview of the different genomic data types that are out there. This course is written for individuals who: - Have genomic data and don鈥檛 know what to do with it. - Want a basic overview of genomic data types. - Want to find resources for processing and interpreting genomics data. Goal of this course: Equip learners with tutorials and resources so they can understand and interpret their genomic data in a way that helps them meet their goals and handle the data properly. This includes helping learners formulate questions they will need to ask others about their data What is not the goal Teach learners about choosing parameters or about the ins and outs of every genomic tool they might be interested in. This course is meant to connect people to other resources that will help them with the specifics of their genomic data and help learners have more efficient and fruitful discussions about their data with bioinformatic experts. The course is intended for students in the biomedical sciences who have been given data and don鈥檛 know what to do with it or would like an overview of the different genomic data types that are out there.
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Skills You'll Learn
Molecular Biology, Data Quality, Exploratory Data Analysis, Data Analysis, Data Validation, Metadata Management, Data Processing, Bioinformatics, Scientific Methods, Data Literacy, R Programming
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From the lesson
Introduction
In this module, we cover the basics of what will be covered in this course and what you should expect. Next we get into an overview of what omic data types and their workflows often look like.
Taught By
Candace Savonen, MS
Data Scientist