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Using SAS Viya REST APIs with Python and R
by Jordan Bakerman , Ari Zitin- 0.0
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Approx. 18 hours to complete
In this course, you’ll learn how to use the SAS Viya APIs to take control of SAS Cloud Analytic Services from a Jupyter Notebook using R or Python. You’ll learn how to create both machine learning and deep learning models to tackle a variety of data sets and complex problems. Demo: Using the R API to Create and Assess Models...
Logistic Regression in R for Public Health
by Alex Bottle- 4.8
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Approx. 12 hours to complete
Welcome to Logistic Regression in R for Public Health! Run simple and multiple logistic regression analysis in R and interpret the output How to be successful in this course How to Describe Data in R How to Run Multiple Logistic Regression in R How to Interpret Model Fit and Performance Information in R...
The R Programming Environment
by Roger D. Peng, PhD , Brooke Anderson- 4.4
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Approx. 27 hours to complete
This 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. Whether you are part of a data science team or working individually within a community of developers, this course will give you the knowledge of R needed to make useful contributions in those settings....
Foundations of marketing analytics
by Arnaud De Bruyn- 4.6
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Approx. 6 hours to complete
However, it contains a number of recitals and R Studio tutorials which will consolidate your competences, enable you to play more freely with data and explore new features and statistical functions in R. And that's what you'll learn to do in this course. How to compute a transition matrix in R (Recital 1)...
Linear Regression in R for Public Health
by Alex Bottle , Victoria Cornelius- 4.8
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Approx. 15 hours to complete
Welcome to Linear Regression in R for Public Health! How to be successful in this course How to fit a regression model in R How to assess key features of a dataset in R How to check your data in R Read in and check a data set's variables using the software R prior to undertaking a model analysis...
Data Analysis with R Programming
by Google Career CertificatesTop Instructor- 4.8
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Approx. 37 hours to complete
- Discover how to use RStudio to apply R to your analysis. - Learn about R Markdown for documenting R programming. Introduction to R Learning Log: Get ready to explore R Hands-On Activity: Adding code chunks to R Markdown notebooks Demonstrate an understanding of the basic formatting R Markdown to create structure and emphasize content...
The Data Scientist’s Toolbox
by Jeff Leek, PhD , Roger D. Peng, PhD , Brian Caffo, PhD- 4.6
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Approx. 18 hours to complete
In this course you will get an introduction to the main tools and ideas in the data scientist's toolbox. There are two components to this course. R and RStudio Installing R Installing R Studio R Packages Projects in R Installing R Installing R Studio R Packages Projects in R Linking Github and R Studio...
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Developing Data Products
by Brian Caffo, PhD , Jeff Leek, PhD , Roger D. Peng, PhD- 4.6
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Approx. 10 hours to complete
Data products automate complex analysis tasks or use technology to expand the utility of a data informed model, algorithm or inference. R and RStudio Links & Tutorials Three Ways to Share R Markdown Products Use Leaflet to create interactive annotated maps Build an R Markdown presentation that includes a data visualization...
Data Analysis with R
by Moira Burke , Chris Saden , Solomon Messing , Dean Eckles- 0.0
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Approx. 2 months
Learn how to investigate and summarize data sets using R and eventually create your own analysis. Learn how to quantify and visualize individual variables within a data set to make sense of a pseudo-data set of Facebook users. See how predictive modeling can allow us to determine a good price for a diamond....
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Introduction to R Programming for Data Science
by Yan Luo- 4.8
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Approx. 10 hours to complete
This course introduces you to the basics of the R language such as data types, techniques for manipulation, and how to implement fundamental programming tasks. You will begin the process of understanding common data structures, programming fundamentals and how to manipulate data all with the help of the R programming language....
