The University of Maryland is offering free online course on Statistical Analysis in Bioinformatics. In this course, part of the Bioinformatics Micro Masters program, you will learn about the R language and environment and how to use it to perform statistical analyses of biological big datasets.
In this 8 week course, applicants will learn basic R programming to analyze biological big data to locate genes, perform simulations, and gauge the effect of specific markers. This course will start on March 26, 2018.
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( votes)Course At A Glance
Length: 8 weeks
Effort: 8-10 hours pw
Subject: Biology and Life Science
Institution: University of Maryland and edx
Languages: English
Price: Free
Certificate Available: Yes, Add a Verified Certificate for $ 249
Session: Course Starts on March 26, 2018
Providers’ Details
University System of Maryland
The USM consists of three Research Universities, three Historically Black Institutions, four Traditional Comprehensive Institutions, two Regional Education Centers; one Specialized Research institution, and one “Virtual” Institution specializing in online and distance education, and a system office.
University of Maryland University College
University of Maryland University College (UMUC) specializes in educating busy professionals like you. We are a public state university offering career-relevant, affordable education that fits your life. You can earn most degrees and certificates entirely online. At UMUC, you can build your professional value with each class you take. With classes taught by faculty with real-world experience, our programs focus on practical, applicable skills and knowledge that you can apply right away.
About This Course
Improvements in modern biology have led to a rapid increase in sensitivity and measurability in experiments and have reached the point where it is often impossible for a scientist alone to sort through the large volume of data that is collected from just one experiment.
Why Take This Course?
In this course, part of the Bioinformatics Micro Masters program, you will learn about the R language and environment and how to use it to perform statistical analyses of biological big datasets.
Learning Outcomes
- Basic R Programming
- Applying packages in the R environment to determine changes in gene expression
- Applying packages in the R environment to locate genes in a full genomic sequence
Instructors
Dr. James Coker
Dr. Coker is an associate professor and the program chair for the Bioinformatics and Biotechnology Regulatory Affairs Specializations within the Biotechnology Master’s Program at the University of Maryland University College.
Requirements
- Undergraduate biology
- A programming language
- Undergraduate statistics
How To Join This Course
- Go to the course website link
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- Choose “Register Now” to get started.
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