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Biostatistics Course

Track :

Medical

Course Presenter :

Bio science

Lessons no : 9

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What will you learn in this course?
  • Master descriptive statistics including mean, median, mode, and standard deviation for biological data analysis
  • Apply probability concepts to assess risks and uncertainties in medical and public health research
  • Perform hypothesis testing, t-tests, ANOVA, and chi-square tests to evaluate biological and clinical data
  • Interpret confidence intervals and linear regression results for evidence-based decision making in health sciences
  • Utilize statistical software tools for data analysis, visualization, and interpretation in biomedical research
  • Analyze real-world clinical trials, epidemiology, and biomedical data to support scientific conclusions

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  • You must have an account Register
  • Watch All Lessons
  • Watch at least 50% of Lesson Duration
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  • The Certificate is free !
Lessons | 9


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4.3
65 Reviews

Yacine Benchaib

It was very interesting
2026-08-06

Aisar Ali

good
2026-07-29

Bhakti Shirke

It was amazing 🤩
2026-07-24

Yakubu Akuyinga Shaibu

very detailed
2026-07-21

Lucas Mulela

Gostei Bastante do Curso de Bioestatistica, foi muito bom fazer o curso pos depois de muita procura só me valeu... Obrigado pelo Cuerso.
2026-07-09

Rishob Borah (Zeref)

Learned something new.
2026-06-24

Caleb Mbaya

BIEN
2026-06-12

Gracy

Good course to learn statistics
2026-05-22

Sowmya Sree Kanchi

good
2026-04-30

Sadia Ahmed Mohamed

Biostatics
2026-04-22

laveus bendji

Langue française
2026-04-08

Octavius Jean Godson

Excellent
2026-04-07

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Biostatistics Course Description

Biostatistics, in this course Start the Biostatistics Course and build a strong foundation in the statistical methods used in biology, medicine, and public health. In this course, we will learn about the fundamentals of biostatistics, including types of data, data collection methods, and descriptive statistics such as mean, median, mode, and standard deviation. You'll explore probability concepts, hypothesis testing, confidence intervals, t-tests, ANOVA, chi-square tests, and linear regression. The course will also introduce statistical software used for data analysis and interpretation. Real-life examples from clinical trials, epidemiology, and biomedical research will be used to help you understand how biostatistics supports evidence-based decisions. Whether you're a student in health sciences, a medical researcher, or someone working with biological data, this course provides essential skills to interpret and analyze data accurately. Let’s begin our journey into the numbers that drive life science research. Bio science