Master biostatistics by using real-world health examples.
What You’ll Learn How To
What you’ll learn
- Define and explain key biostatistical terms and concepts, including populations, samples, variables, and distributions, in the context of real-world health and.
- Perform and Interpret Descriptive Statistics.
- Calculate and interpret measures of central tendency and dispersion (mean, median, mode, standard deviation).
- Conduct hypothesis testing, confidence interval estimation, t-tests, chi-square tests, and ANOVA, and interpret the outcomes to inform data-driven decisions in.
Course Content
- Introduction –> 3 lectures • 17min.
- Sampling and Data Collection –> 3 lectures • 18min.
- Descriptive Statistics –> 2 lectures • 20min.
- Probability and Distributions –> 3 lectures • 23min.
- Inferential Statistics –> 3 lectures • 16min.
- Regression and Correlation –> 3 lectures • 24min.
- Rstudio Tutorials – Statistical Analysis –> 9 lectures • 45min.
Requirements
What You’ll Learn How To
- Understand important biostatistical concepts including variables, distributions, and sampling
- Use descriptive statistics and learn how to visualize and interpret data using histograms, boxplots, and scatterplots
- Leverage inferential tests: t-tests, chi-square, ANOVA, correlation, and regression
- Interpret results so that you can communicate statistical findings clearly and accurately
Course Description
Are you intimidated by statistics? Or maybe you’re starting a health science, psychology, or biology program and need to learn biostatistics fast, without getting too overwhelmed?
This beginner-to-advanced course breaks down biostatistics into clear, step-by-step lessons using real-world examples and data. Whether you’re a student, a researcher, educator, or health professional, you’ll gain the skills you need to analyze and interpret data with confidence.
We start from the very basics, that is why no prior knowledge is required, and then build progressively to cover both descriptive and inferential statistics, while grounded in real-world healthcare and behavioral science examples. You’ll also get hands-on demos with modern statistical software, helping you build analysis skills that employers and graduate schools value.
By the end, you’ll be equipped not only to run statistical tests—but also to explain and apply them in meaningful ways.
Who This Course is For
- Students in nursing, psychology, biology, public health, or medicine
- Researchers and professionals in healthcare, epidemiology, or social science
- Educators teaching quantitative or research methods
- Anyone preparing for grad school or research-based careers
- Beginners who want a gentle, practical, and thorough introduction to biostatistics