Biostatistics and Mathematical Biology
This 12-week course introduces students to the mathematics and mathematical skills essential for biologists. Topics covered include Bayesian probability, Maximum Likelihood, Box-Plots, Statistical Power, sampling size estimation, Normality and Outlier tests, Non-linear regression, Relative Risk, Odds Ratio, and more. Fun facts and games are included to pique interest, and practice problems are solved on whiteboard to facilitate comprehension. The course is application-oriented, emphasizing the use of computational softwares to analyze data. ▼
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Course Feature
Cost:
Free
Provider:
Swayam
Certificate:
Paid Certification
Language:
English
Start Date:
30th Jan, 2023
Course Overview
❗The content presented here is sourced directly from Swayam platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [February 21st, 2023]
What skills and knowledge will you acquire during this course?
This course in Biostatistics and Mathematical Biology will provide learners with a range of skills and knowledge. Learners will gain an understanding of the basics of mathematics essential for biologists, such as Bayesian probability, Maximum Likelihood, Box-Plots, Statistical Power and sampling size estimation, Normality and Outlier tests, Non-linear regression, levels of measurements, permutations and combinations, tests for categorical data including Relative Risk, Odds Ratio and so on. Additionally, learners will learn how to decide which significance test to use, how to analyse the data and so on using computational softwares rather than manual solutions or using statistical tables. Furthermore, learners will gain an appreciation of the fun facts and games included in the course, as well as the opportunity to solve practice problems on whiteboard, making the comprehension easy.
How does this course contribute to professional growth?
Biostatistics and Mathematical Biology is a course that can contribute to professional growth by providing learners with the knowledge and skills necessary to understand and analyze data. Learners can gain an understanding of the basics of mathematics essential for biologists, such as Bayesian probability, Maximum Likelihood, Box-Plots, Statistical Power and sampling size estimation, Normality and Outlier tests, Non-linear regression, levels of measurements, permutations and combinations, tests for categorical data including Relative Risk, Odds Ratio and so on. Additionally, learners can learn how to decide which significance test to use, how to analyse the data and so on using computational softwares rather than manual solutions or using statistical tables. Furthermore, the course provides learners with the opportunity to gain an appreciation of the fun facts and games included in the course, as well as the opportunity to solve practice problems on whiteboard, making the comprehension easy. All of these skills and knowledge can contribute to professional growth.
Is this course suitable for preparing further education?
Biostatistics and Mathematical Biology is a suitable course for preparing further education. It provides learners with the basics of mathematics essential for biologists, such as Bayesian probability, Maximum Likelihood, Box-Plots, Statistical Power and sampling size estimation, Normality and Outlier tests, Non-linear regression, levels of measurements, permutations and combinations, tests for categorical data including Relative Risk, Odds Ratio and so on. Additionally, learners can gain an understanding of how to decide which significance test to use, how to analyse the data and so on using computational softwares rather than manual solutions or using statistical tables. The course also provides learners with the opportunity to gain an appreciation of the fun facts and games included in the course, as well as the opportunity to solve practice problems on whiteboard, making the comprehension easy. All of these elements make Biostatistics and Mathematical Biology a suitable course for preparing further education.
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