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Optimizing R Code with Rcpp

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5

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$12

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Course Features

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Duration

4 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

4 hours

Course Description

R is a great language for data science. Sometimes, however, it can take a while to execute the code. You can combine the convenience of R and the efficiency of a compiled language programming language to create the code you desire.

C++ is a high performance language that has modern features and can be used for R code acceleration. C++ can integrate with R by using the Rcpp Package. This course will show you how to modify R objects (vectors and lists) and how C++ functions can dramatically improve the performance your R code.

Course Overview

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Virtual Labs

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International Faculty

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Case Based Learning

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Post Course Interactions

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Case Studies,Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

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Introduction to Writing Functions in R

What You Will Learn

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You will learn how to create and manipulate typical R objects (vectors and lists), and write your own C++ functions to dramatically boost the performance of your R code

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C++ is a modern, high performance language that is simple enough to learn in the context of accelerating R code

Course Instructors

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Team ThinkR

R Training

ThinkR provides specialized consulting, development and training in R software.

Course Reviews

Average Rating Based on 3 reviews

5.0

100%

Course Cover

$12

$6

49% OFF

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