P-Value

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Multiple Regression Analysis in Public Health (Coursera) Coursera
Johns Hopkins University

Multiple Regression Analysis in Public Health (Coursera)

Dive into Biostatistics with this advanced course that teaches you the application of statistical reasoning in life sciences, specifically focusing on Multiple Regression Analysis. This course is tailored for those working in Public Health who want to improve their data analysis skills and make informed decisions based on multiple variables impacting public health outcomes.

Jun 1st 2026
4 Weeks
Simple Regression Analysis in Public Health (Coursera) Coursera
Johns Hopkins University

Simple Regression Analysis in Public Health (Coursera)

Discover the essential skills of biostatistics with our comprehensive course on Simple Regression Analysis in Public Health. This course will guide you through understanding and applying regression methods to analyze relationships between a single predictor and an outcome of interest within public health research. Perfect for students, researchers, and professionals looking to enhance their data analysis capabilities.

Jun 1st 2026
4 Weeks
Improving your statistical inferences (Coursera) Coursera
Eindhoven University of Technology

Improving your statistical inferences (Coursera)

Unlock the secrets to making better statistical inferences from empirical research with our expert-led online course. Gain a deep understanding of key concepts like p-values, effect sizes, confidence intervals, Bayes Factors, and likelihood ratios. Learn how to design experiments that effectively control false positive rates and determine the right sample size for your study to achieve high statistical power.

May 18th 2026
5-12 Weeks
Statistical Inference and Hypothesis Testing in Data Science Applications (Coursera) Coursera
University of Colorado Boulder

Statistical Inference and Hypothesis Testing in Data Science Applications (Coursera)

Dive into the world of Statistical Inference and Hypothesis Testing with this engaging online course tailored for aspiring and professional data scientists. This course will equip you with a deep understanding of hypothesis testing, enabling you to make accurate decisions based on your data analysis. Explore key concepts such as error rates, power of tests, p-values, and their practical applications in real-world scenarios. Whether you're looking to refine your analytical skills or seeking to advance in the field of data science, this course offers a pathway to mastering statistical inference techniques crucial for making informed decisions from data.

May 18th 2026
5-12 Weeks
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