Search result for How to use r Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 10,000 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
The Data Scientist’s Toolbox
by Jeff Leek, PhD , Roger D. Peng, PhD , Brian Caffo, PhD- 4.6
-
![]()
![]()
![]()
![]()
![]()
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...
Using SAS Viya REST APIs with Python and R
by Jordan Bakerman , Ari Zitin- 0.0
-
![]()
![]()
![]()
![]()
![]()
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
-
![]()
![]()
![]()
![]()
![]()
Approx. 12 hours to complete
This course builds on skills such as hypothesis testing, p values, and how to use R, which are covered in the first two courses of the Statistics for Public Health specialisation. How to Describe Data in R How to Run Multiple Logistic Regression in R How to Interpret Model Fit and Performance Information in R...
Data Analysis with R Programming
by Google Career CertificatesTop Instructor- 4.8
-
![]()
![]()
![]()
![]()
![]()
Approx. 37 hours to complete
You’ll find out how to use RStudio, the environment that allows you to work with R. - Discover how to use RStudio to apply R to your analysis. 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...
Introduction to R Programming for Data Science
by Yan Luo- 4.8
-
![]()
![]()
![]()
![]()
![]()
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....
Linear Regression in R for Public Health
by Alex Bottle , Victoria Cornelius- 4.8
-
![]()
![]()
![]()
![]()
![]()
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 Describe when a linear regression model is appropriate to use...
Foundations of marketing analytics
by Arnaud De Bruyn- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 6 hours to complete
You will find this course exciting and rewarding if you already have a background in statistics, can use R or another programming language and are familiar with databases and data analysis techniques such as regression, classification, and clustering. How to compute a transition matrix in R (Recital 1) Using the transition matrix to estimate how customers will evolve...
Related searches
Developing Data Products
by Brian Caffo, PhD , Jeff Leek, PhD , Roger D. Peng, PhD- 4.6
-
![]()
![]()
![]()
![]()
![]()
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...
The R Programming Environment
by Roger D. Peng, PhD , Brooke Anderson- 4.4
-
![]()
![]()
![]()
![]()
![]()
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....
Programming for Data Science with R
by Josh Bernhard , Derek Steer , Juno Lee , Richard Kalehoff , Karl Krueger- 0.0
-
![]()
![]()
![]()
![]()
![]()
3 Months
The Programming for Data Science Nanodegree program offers you the opportunity to learn the most important programming languages used by data scientists today. By the end of the program, you will be able to use R, SQL, Command Line, and Git. Learn to code with R, SQL, Command Line, and Git to solve problems with data....
