Professional Course

Programming with R for Data Science

QuickStart, Online
Length
1 day
Price
44.99 USD
Next course start
Start anytime! See details
Delivery
Self-paced Online
Length
1 day
Price
44.99 USD
Next course start
Start anytime! See details
Delivery
Self-paced Online
This provider usually responds within 48 hours 👍

Course description

Programming with R for Data Science

ABOUT THIS COURSE

In this computer science course from Microsoft, developed in collaboration with the Technical University of Denmark (DTU), get the knowledge and skills you need to use R, the statistical programming language for data scientists, in the field of your choice.

In this course you will learn all you need to get up to speed with programming in R. Explore R data structures and syntaxes, see how to read and write data from a local file to a cloud-hosted database, work with data, get summaries, and transform them to fit your needs. Plus, find out how to perform predictive analytics using R and how to create visualizations using the popular ggplot2 package.

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Upcoming start dates

1 start date available

Start anytime!

  • Self-paced Online
  • Online

Who should attend?

Audience:

  • Data Scientist

Prerequisite:

  • Introduction to R for Data Science will help.

Training content

Course Objective

  • Explore R language fundamentals, including basic syntax, variables, and types
  • How to create functions and use control flow.
  • Details on reading and writing data in R
  • Work with data in R
  • Create and customize visualizations using ggplot2
  • Perform predictive analytics using R

Why choose QuickStart?

98% increased workplace productivity

94% instructor and course effectiveness

Partnered with vendors including Microsoft, Cisco, and Citrix

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QuickStart
1101 S Capital of Texas Hwy - Building J, Suite 202
78746 Austin Texas

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QuickStart exists to create world-class technologists by personalizing and individualizing training to address the massive skills gap in the IT industry. Through 20 years of research and data analysis, we’ve learned that a modern learner prefers to learn through multiple...

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