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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 introduces methods to perform systematic reviews and meta-analysis of clinical trials. It will cover how to formulate an answerable research question, define...
This course covers the analysis of Functional Magnetic Resonance Imaging (fMRI) data.
This online course program gives an introduction to key data science essentials through real-world case studies. It includes courses on the R programming language, data...
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...
This online course explores advanced topics in R programming that are necessary for developing powerful, robust, and reusable data science tools. Topics covered include...
This online course provides the learner with the skills for creating new visualization building blocks. Learners will be able to build the tools needed to visualize a wide...
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 online course teaches how to grow fish and vegetables together in the "Aquaponic Garden" (a mix of hydroponics (growing plants without soil) and aquaculture).
This online course explores advanced topics of software development with SAP HANA.
Sehen Sie, wie Sie mit Hilfe des Akka-Frameworks und Scala oder Java komplexe und hoch skalierbare Anwendungen implementieren.
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 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 series shows how to analyze life sciences data.The courses include:An introduction to basic statistical concepts,The R programming language,Linear models and...
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