University of Colorado Boulder
Data Science Foundations: Statistical Inference
Build Your Statistical Skills for Data Science
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University of Colorado Boulder
Build Your Statistical Skills for Data Science
University of Colorado Boulder
This course introduces statistical inference, sampling distributions, and confidence intervals. Students will learn how to define and construct good estimators, method of moments estimation, maximum likelihood estimation, and methods of constructing confidence intervals that will extend to more gen…
Universidad del Rosario
Aprende los conceptos y métodos básicos de la bioestadística aplicada a la investigación. Aprende a explorar, organizar, y presentar datos usando el software R y adquiere competencias para realizar estadística descriptiva exploratoria y algunas pruebas estadísticas confirmatorias sobre un conjunto…
Università degli Studi di Napoli Federico II
Acquisisci competenze essenziali nell'era digitale al fine di elaborare e analizzare i dati, per prendere decisioni aziendali. Acquire the essential skills of the digital era: learn to elaborate and analyze data and make your own managerial decisions.
Arizona State University
Statistical Methods Crucial in Today’s Environment
Eindhoven University of Technology
This course aims to help you to draw better statistical inferences from empirical research. First, we will discuss how to correctly interpret p-values, effect sizes, confidence intervals, Bayes Factors, and likelihood ratios, and how these statistics answer different questions you might be interest…
University of Colorado Boulder
This course introduces the theoretical, philosophical, and mathematical foundations of Bayesian Statistical inference. Students will learn to apply this foundational knowledge to real-world data science problems. Topics include the use and interpretations of probability theory in Bayesian inference…
Duke University
This course covers commonly used statistical inference methods for numerical and categorical data. You will learn how to set up and perform hypothesis tests, interpret p-values, and report the results of your analysis in a way that is interpretable for clients or the public. Using numerous data exa…
CodeSignal
Build beginner-level data analysis skills with Python by learning how to clean, transform, analyze, and visualize data. Practice using libraries such as NumPy, pandas, Matplotlib, Seaborn, and SciPy to work with real datasets.
Northeastern University
Engineering Probability and Statistics Part 2 covers the principles of statistical inference, including sampling distributions, confidence intervals, hypothesis testing, and analysis of variance (ANOVA) for comparing means across multiple groups. Through a structured yet flexible approach, students…
CodeSignal
Develop practical data analysis skills in R, from data manipulation and cleaning to visualization and statistical testing. Learn to prepare, explore, and interpret complex datasets using tidyverse tools.
Illinois Tech
A rigorous introduction to the theory of Bayesian Statistical Inference and Data Analysis, including prior and posterior distributions, Bayesian estimation and testing, Bayesian computation theories and methods, and implementation of Bayesian computation methods using popular statistical software.…
Coursera
Excel in Statistical & Predictive Modeling
Northeastern University
Covers and emphasizes practical applications of linear algebra, statistics, complex analysis, and signal processing in bioengineering. Students develop fluency with matrix decompositions, statistical inference and curve fitting, complex-number representations of signals, linear time-invariant syste…
Arizona State University
Welcome to Probability, Statistical Inference and Regression Analysis. This course is an introduction to statistical methods and thinking, focusing on modern applications. Some of the concepts will be familiar to those who have taken an elementary statistics course. However, some of the topics pres…
Coursera
Statistics isn't just about numbers—it's about making confident decisions that drive business success. This Short Course was created to help data analysts accomplish statistical inference with precision and clarity. By completing this course, you'll be able to apply confidence intervals to compare…
Sage Publications
Develop your ability to analyze and visualize both categorical and continuous data in political science using SPSS. Gain practical skills in data visualization, statistical inference, and group comparisons. This course focuses on the practical application of SPSS for analyzing and visualizing polit…