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This course is an introduction to least squares from a linear algebraic and mathematical perspective.
This course focuses on data science in real life. It will contrast the ideal with what happens in real life. By contrasting the ideal, students will learn key concepts that will...
This course teaches how to use tools from the Bioconductor project to perform analysis of genomic data. This is the fifth course in the Genomic Big Data Specialization from...
This course will cover the basic ways that data can be obtained. The course will cover obtaining data from the web, from APIs, from databases and from colleagues in various...
This online course program explores the core epidemiologic toolset to measure the health of populations, assess interventions, collect and analyze data, and investigate...
This course covers how to find the right people to fill out a data science team, how to organize them to give them the best chance to feel empowered and successful, and how to...
This course presents the fundamental probability and statistical concepts used in elementary data analysis.
This series of MOOCs covers R software development for building data science tools. It helps participants to learn modern software development practices to build tools that are...
This online course series gives an introduction to data science. The courses cover the concepts and tools needed throughout the entire data science pipeline. It covers topics...
This online course program explores health informatics applications through a series of individual online courses. Topics include the technical context, measuring outcomes, and...
This course covers the concepts and tools to understand, analyze, and interpret data from next generation sequencing experiments. It teaches the most common tools used in...
This course covers the basics of creating data products using Shiny, R packages, and interactive graphics. The course will focus on the statistical fundamentals of creating a...
This online course gives an overview of artificial intelligence processing approaches to breast cancer detection.
Statistical inference is the process of drawing conclusions about populations or scientific truths from data. There are many modes of performing inference including statistical...
This online course explores telemedicine as an important part of the future of healthcare. Key content areas include clinical considerations, patient safety, technology needs,...
This course explores computational methods -- algorithms and data structures -- for analyzing DNA sequencing data. Topics include DNA, genomics, and how DNA sequencing is used....
This online course is designed to introduce participants to basic tools of theory building and data analysis in systems science and to apply those tools to better understand the...
This online course focuses on writing good code for data science. This course covers the primary means by which R software is organized and distributed.
This online course explores advanced topics in R programming that are necessary for developing powerful, robust, and reusable data science tools. Topics covered include...
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