Hands On Training

Writing Efficient R Code

DataCamp

(3)

Course Features

Duration

4 hours

Delivery Method

Online

Available on

Limited Access

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Intermediate

Teaching Type

Self Paced

Video Content

4 hours

Course Description

R's strength lies in its ability to do data analysis. Sometimes R can be slow and cause problems in our analysis. You should be familiar with the best techniques to speed up analysis in order to reduce computation time and gain insight as quickly as possible.

Course Overview

Virtual Labs

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Intermediate R

What You Will Learn

In order to make your code go faster, you need to know how long it takes to run

Profiling helps you locate the bottlenecks in your code. This chapter teaches you how to visualize the bottlenecks using the `profvis` package

Course Content

Expand all sections

Module 1: The Art of Benchmarking

Module 2: Fine Tuning: Efficient Base R

Module 3: Diagnosing Problems: Code Profiling

Module 4: Turbo Charged Code: Parallel Programming

Course Instructors

Colin Gillespie

Assoc Prof at Newcastle University, Consultant at Jumping Rivers

Colin is the author of Efficient R Programming, published by O'Reilly media. He is an Associate Professor of Statistics at Newcastle University, UK and regularly works with Jumping Rivers to provide ...

Course Reviews

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