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This class will cover an introduction to command line tools for managing genomic data. It will start with basic Unix commands for managing files and directories, followed by a...
This course is an introduction to the statistics behind the most popular genomic data science projects. This is the sixth course in the Genomic Big Data Science Specialization...
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 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 provides a rigorous introduction to the R programming language, with a particular focus on using R for software development in a data science setting.
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 online course is intended for people who will plan, implement, and/or evaluate training programs for community health workers.
This is a focused course designed to rapidly get participants up to speed on doing data science in real life. It includes eg. describing possible pitfalls when pulling /...
This course introduces methods to perform systematic reviews and meta-analysis of clinical trials. It will cover how to formulate an answerable research question, define...
This MOOC examines the community context of the changes needed to promote the public’s health.
This online course provides a brief introduction to the U.S. food system. It also includes key historical and political factors that have helped shape the current food system.
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 course focuses on the concepts and tools behind reporting modern data analyses in a reproducible manner. Reproducible research is the idea that data analyses, and more...
This course is an introduction to least squares from a linear algebraic and mathematical perspective.
This course covers how to program in R and how to use R for effective data analysis. Students will learn how to install and configure software necessary for a statistical...
This online course (MOOC) introduces the fundamentals of cancer biology, diagnosis, and treatment. Topics covered in the course are:Incidence and Etiology of CancerGenetics of...
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 prepares participants to work and live overseas. The course was created especially for participants who travel to low- and middle-income countries for...
This class presents fundamental concepts in data analysis and statistical inference, focusing on one and two independent samples. Students having taken this class should be able...
This course will provide a crash course in what data science and big data mean and how they play a role in successful organizations
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