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This online course program gives an introduction to interpreting data and statistical results of data analysis. It covers topics such as descriptive statistics, data...
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 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 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 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 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 discusses the basic biology of modern genomics and the experimental tools used for measurement. This is the first course in the Genomic Big Data Science Specialization.
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 class provides an introduction to the Python programming language and the iPython notebook. This is the third course in the Genomic Big Data Science Specialization from...
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...
In this courses, students will learn what they need to know to begin assembling and leading a data science enterprise. It provides a crash course in data science to become...
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 online course gives an introduction to data and their analysis and interpretation.
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 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 course is an introduction to the main tools and ideas in the data scientist's toolbox. The course gives an overview of the data, questions, and tools that data analysts and...
This course covers the essential exploratory techniques for summarizing data. It will cover in detail the plotting systems in R as well as some of the basic principles of...
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 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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