Biostatistics: Analytical Skills for Biology Research
Learn essential biostatistics skills for biological research, including study design and data analysis using R, in this 8-week course.
Learn essential biostatistics skills for biological research, including study design and data analysis using R, in this 8-week course.
Dive into the world of biostatistics with this comprehensive undergraduate-level course. Over 8 weeks, you'll master the skills needed for success in biological research and healthcare analytics. Learn to design experimental, quasi-experimental, and observational studies that meet regulatory guidelines. Gain hands-on experience in collecting, analyzing, and interpreting data using appropriate statistical tools. This course covers various study designs, data types, and statistical tests, with a focus on using R for data summarization. Perfect for aspiring healthcare professionals or those interested in biology-related fields, this course provides a solid foundation for future graduate studies or a career in biostatistics, a field projected to grow 14% between 2010 and 2020.
Instructors:
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What you'll learn
Identify different types of data and appropriate collection methods
Design simple experiments that meet regulatory guidelines
Summarize data numerically and graphically using R programming
Differentiate between point and interval estimation in statistics
Select and perform appropriate statistical tests for various scenarios
Interpret and conclude results from statistical analyses
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
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Module Description
This college-level Biostatistics course introduces students to the use of statistics and study designs in biology. The course covers essential skills for bio-statistical research in healthcare and other biology-related fields. Students will learn to design various types of studies, collect and analyze data, and interpret results using appropriate statistical tools. The curriculum emphasizes practical applications, including the use of R for data summarization and visualization. Topics include types of data, experimental design, numerical and graphical data summarization, point and interval estimation, statistical testing, and result interpretation. This course provides a strong foundation for future healthcare professionals and those interested in pursuing advanced degrees in biostatistics.
Fee Structure
Instructor
1 Course
Multidisciplinary Chemist Advancing Colorimetric Sensor Technology
Dr. Michael Kangas is a researcher at Doane University specializing in the analysis of colorimetric sensor arrays. He earned his bachelor's degree in chemistry from Carthage College in 2004 and his Ph.D. in inorganic chemistry from Louisiana State University in 2012, where his solid state chemistry research resulted in 16 scientific publications.
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