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Learn Statistical Inference online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.
Seoul National University
The purpose of this course is to introduce basic concepts of sample surveys and to teach statistical inference process using real-life examples.
Johns Hopkins University
Build models, make inferences, and deliver interactive data products. This specialization continues and develops on the material from the Data Science: Foundations using R specialization. It covers statistical inference, regression models, machine learning, and the development of data products. In…
University of Michigan
This course provides learners with a first look at the world of statistical modeling. It begins with a high-level overview of different philosophies on the question of 'what is a statistical model' and introduces learners to the core ideas of traditional statistical inference and reasoning. Learner…
RWTH Aachen University
'Statistical and Probabilistic Foundations of AI' provides an accessible overview of the mathematics and statistics behind fundamental concepts of data science, machine learning, and artificial intelligence. It covers descriptive and exploratory data analysis and a brief introduction to inferential…
Adelaide University
In this statistics course, you'll learn fundamental concepts relating to statistical inference and how they can be applied to solve real world problems.
University of Colorado Boulder
This course will focus on theory and implementation of hypothesis testing, especially as it relates to applications in data science. Students will learn to use hypothesis tests to make informed decisions from data. Special attention will be given to the general logic of hypothesis testing, error an…
MITx
Develop a deep understanding of the principles that underpin statistical inference: estimation, hypothesis testing and prediction. -- Part of the MITx MicroMasters program in Statistics and Data Science.
IBM
This is the second course in the IBM AI Enterprise Workflow Certification specialization. You are STRONGLY encouraged to complete these courses in order as they are not individual independent courses, but part of a workflow where each course builds on the previous ones. In this course you will beg…
University of Canterbury
Extend your knowledge of linear regression to the situations where the response variable is binary, a count, or categorical as well as to hierarchical experimental set-up.
University of Michigan
This course introduces learners to the analysis of binary/dichotomous outcomes. Learners will become familiar with fundamental tests for two-group comparisons and statistical inference plus prediction more broadly using logistic regression. They will understand the connection between prevalence, ri…
IIT Kanpur
Mathematics course by Prof. Shalabh.
MITx
Build foundational knowledge of data science with this introduction to probabilistic models, including random processes and the basic elements of statistical inference -- Part of the MITx MicroMasters program in Statistics and Data Science.
Mass General Brigham University of Health Professions
This course introduces key statistical concepts and data analysis techniques used in healthcare. Students will learn to classify variables, summarize data, interpret measures of central tendency and variability, and perform basic hypothesis testing. Emphasis is placed on applying descriptive statis…
Universidad Galileo
Usa estadística descriptiva e inferencial en los negocios. Aprende a tomar decisiones con ayuda de estimadores, análisis regresional y más.
Tecnológico de Monterrey
En este curso se aplican fundamentos estadísticos y econométricos para analizar bases de datos; lo anterior, con el fin de identificar el comportamiento de variables y su relación con otras variables. En el curso también aplican técnicas básicas de pronósticos a través de diferentes metodologías. S…
Universidad Galileo
Este curso en línea entrega al estudiante los conocimientos fundamentales de estadística para el análisis de datos, tanto a nivel personal como empresarial.
