Data Science Using R

Enhance your ability to process large datasets efficiently, generating rapid and insightful results with R programming.

Description

  • Learn about the role of R in the overall data science life process whilst appreciating the power of R and the 'tidyverse' set of packages for increasing productivity.

Learning objectives

  • How to install, configure and use RStudio
  • Understand key R data structures
  • How to write a function in R, and how to use and apply a family of functions Explore data visually using ggplot2
  • How to filter and join data
  • Apply all the R technical elements to an operational research-based case study.

Topics

  • Foundations of the R Language: Vectors, Lists, Data Frames and Functions
  • An overview of Exploratory Data Analysis
  • The ggplot2 package for visualising data
  • The dplyr package for summarising and analysing data
  • The tidyr package for preparing data, and R markdown for communicating results
  • R for operational researchers: analysing simulation output from sensitivity runs.

Audience

The course will benefit operational research practitioners who support data-driven decision-making within their organisation and are interested in exploring new tools, workflows and methods to generate insights and communicate them to stakeholders.

Course format

  • Powerpoint presentation to introduce the topics
  • Case studies based on ‘real world’ problems
  • R Studio Cloud (available online)
  • Group discussion/work
  • Bring questions from your own work to embed your learning
  • Follow up on the course with online resources, case studies and solutions.
  • Option to connect with the R open-source community and its many resources for supporting data analytics and the process of converting information into action.

Prices

  • Member £495 + VAT
  • Non-Member £625 + VAT
  • Student Member £370 + VAT
  • For group booking discounts please contact [email protected]

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