Mastering Biostatistics: Step-by-Step
Last updated 6/2025
Duration: 2h 44m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 1.57 GB
Genre: eLearning | Language: English
Last updated 6/2025
Duration: 2h 44m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 1.57 GB
Genre: eLearning | Language: English
Master biostatistics by using real-world health examples.
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
Requirements
- No requirements or perquisites
Description
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 downbiostatisticsintoclear, step-by-step lessonsusing real-world examples and data. Whether you're a student, a researcher, educator, or health professional, you'll gain the skills you need toanalyze 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 bothdescriptive and inferential statistics, while grounded inreal-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 innursing, psychology, biology, public health, or medicine
Researchers and professionals inhealthcare, epidemiology, or social science
Educatorsteaching quantitative or research methods
Anyone preparing forgrad school or research-based careers
Beginners who want a gentle, practical, and thorough introduction to biostatistics
Who this course is for:
- Undergraduate and graduate students, professionals and researchers, educators and instructors, anyone new to statistics
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