Statistical Methods

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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 [...]

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 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. [...]

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 [...]

Introduction to Bioconductor (edX)

The structure, annotation, normalization, and interpretation of genome scale assays. We begin with an introduction to the biology, explaining what we measure and why. Then we focus on the two main measurement technologies: next generation sequencing and microarrays. We then move on to describing how raw data and experimental [...]

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 [...]