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Biostatistics

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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Lessons | 9


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4.3
58 Reviews

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

Filipe Francisco Gerente Gustavo

Perfect Teacher
2026-03-22

Tshilidzi Sambo

Perfect
2026-03-18

Yarou salifou Souraka

Les videos sont anglais voila que le monde ne comprend pas anglais
2026-03-15

Edokpa Mary Eniola

Thanks so much for the3 course. I learnt a lot
2026-03-05

Annapoorni K

Good
2026-02-15

Fardin Nik Ayen

Great
2026-02-14

Abeera Mazhar

good
2026-02-12

Patrick Okora

This is so profound!
Thank you so much!
2026-02-06

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Related Courses

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