Statistical Methods

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Introduction to Systematic Review and Meta-Analysis (Coursera)

We will introduce methods to perform systematic reviews and meta-analysis of clinical trials. We will cover how to formulate an answerable research question, define inclusion and exclusion criteria, search for the evidence, extract data, assess the risk of bias in clinical trials, and perform a meta-analysis. [...]

Essential Epidemiologic Tools for Public Health Practice (Coursera)

In order to make a difference in the health and well-being of a population, we must understand the burden of all problems and conditions that affect the population, as well as how well our efforts to mitigate these problems are actually working. This course provides you with some essential [...]

A Crash Course in Causality: Inferring Causal Effects from Observational Data (Coursera)

We have all heard the phrase “correlation does not equal causation.” What, then, does equal causation? This course aims to answer that question and more! Over a period of 5 weeks, you will learn how causal effects are defined, what assumptions about your data and models are [...]

Network Analysis in Systems Biology (Coursera)

An introduction to data integration and statistical methods used in contemporary Systems Biology, Bioinformatics and Systems Pharmacology research. The course covers methods to process raw data from genome-wide mRNA expression studies (microarrays and RNA-seq) including data normalization, differential expression, clustering, enrichment analysis and network construction. The course contains practical [...]

Introduction to Statistical Methods for Gene Mapping (edX)

Learn about statistical methods used to identify genetic variants responsible for phenotypes. This data course is a primer to statistical genetics and covers an approach called linkage disequilibrium mapping, which analyzes non-familial data and has been successfully used to identify genetic variants associated with common and complex genetic [...]

Introducción a Ciencias de Datos y Estadística Básica para Negocios (edX)

En este curso adquirirás los métodos estadísticos para la toma de decisiones en los negocios, así como herramientas tecnológicas para desarrollar habilidades cuantitativas. Áreas como el “big data” requieren un conocimiento muy claro de la estadística; en las áreas de negocios, la tecnología pone a nuestro alcance diversas aplicaciones [...]

Principles, Statistical and Computational Tools for Reproducible Science (edX)

Learn skills and tools that support data science and reproducible research, to ensure you can trust your own research results, reproduce them yourself, and communicate them to others. Today the principles and techniques of reproducible research are more important than ever, across diverse disciplines from astrophysics to political science. [...]

Introduction to Statistics for Data Science using Python (edX)

Self Paced
Introduction to Statistics for Data Science using Python (edX)
Course Auditing
This Statistics for Data Science course is designed to introduce you to the basic principles of statistical methods and procedures used for data analysis. This Statistics for Data Science course is designed to introduce you to the basic principles of statistical methods and procedures used for data analysis. After [...]

Applied Statistics with Python (edX)

Analyze data using statistical methods and technology. This course helps prepare you for positions that require the analysis of large data sets, providing the statistics foundation you’ll need for data analysis. You’ll learn how to model real-world applications using statistical methods. You’ll also gain skills to set up those [...]

Statistique pour l'ingénieur (FUN)

No sessions available
Statistique pour l'ingénieur (FUN)
Free Course
Les méthodes statistiques sont largement répandues dans presque tous les secteurs de l’activité humaine : sciences et techniques, économie, sciences humaines et sociales. Elles font partie des connaissances de base de l’ingénieur. Parmi les innombrables applications dans le domaine industriel, on peut citer le contrôle de qualité, la fiabilité, [...]