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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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  • 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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Owais Ahmad

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Super session 2025-08-30

Akshata Kannure

Easy to understand and very informative....thanks to mindluster 2025-08-25

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Interesting course!! 2025-08-21

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It was a great experience of self-paced study 2025-08-19

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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