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Development Course

course overview

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Overview

An introduction to R; a mathematical and statistical modelling language used extensively in data analysis and Big Data.

This 3-day course is designed for anyone planning to work with larger Big Data solutions or Machine Learning, or for those studying a vendor specific path, such as Microsoft SQL Server.

By attending this course you will learn how to write programmes using R to create effective statistical outputs and to visualize data using R’s library.

Target

Audience

Aimed at all who wish to learn the R programming language.

Skills Gained

At the end of this course attendees will know:

  • Fundamentals of R programming language
  • R data types, containers, arrays, flow control and functions
  • R text manipulation
  • R visualisation packages
  • How to perform data exploration and analysis with R

At the end of this course attendees will be able to:

  • Write R programs for manipulating and analysing data
  • Plot graphs from data sets

Prerequisites

  • No prior knowledge of R is assumed
  • Delegates should already be familiar with basic programming concepts such as variables, scope and functions
  • Experience of another scripting language such as Python or Perl would be an advantage

Outline

  • R: Intro
  • R: Data
  • R: Containers
  • R: Higher Dimensions
  • R: Flow
  • R: Functions
  • R: Text
  • R: Plotting
  • Data Science and Exploration in R

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Thinking about Onsite?

If you need training for 3 or more people, you should ask us about onsite training. Putting aside the obvious location benefit, content can be customised to better meet your business objectives and more can be covered than in a public classroom. Its a cost effective option. One on one training can be delivered too, at reasonable rates.

Submit an enquiry from any page on this site, and let us know you are interested in the requirements box, or simply mention it when we contact you.

All $ prices are in USD unless it’s a NZ or AU date

SPVC = Self Paced Virtual Class

LVC = Live Virtual Class

Please Note: All courses are availaible as Live Virtual Classes

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