Getting Started with R and Data Analysis

Overview

Are you tasked with analysing data, or are you about to be? Have you been using proprietary data analysis tools and would like to explore open source? If so, you are in for a treat as we introduce you to the most popular and rapidly growing open source statistical package R.

In this course you will learn how to use R for effective data analysis, how to install and configure software necessary for a statistical programming environment, learn and practice R programming language concepts, common and useful R commands. You will learn to use R for reading data, writing functions, making informative graphs, and applying basic statistical methods. Course is designed for people who are just starting with R as well as for data analysts who are switching to R from other statistical software, such as SAS or SPSS.

Who Should Attend This Workshop? 

The workshop is aimed at business professionals, data analysts, technologists, journalists, software developers, academics and students who already have some basic competence in using statistics but wish to begin using R for the first time. 

Prerequisites 

Basic knowledge of statistics and programming languages. 

Learning Outcomes 

• Overview and introduction to R
• Getting started and working with data
  • Basic data types and operations
  • Data Frames
  • Importing, saving, exporting, and re-using data
  • Common R functions for numbers, factors, text, and dates
  • Vector-oriented computation
  • Sorting, ranking, and printing
• Reading and writing data with R
  • Reading tables and CSV files, row and column headers, delimiters. Built-in data.
  • Cleaning and transforming data
• Programming efficiently in R
  • Writing R scripts and functions
  • Loops and conditions
  • Flow control, functions and classes in R, executing R scripts from GUI and command line
• Visualizing data and Exploratory Data Analysis
  • Basic data summary functions/ summary statistics
  • Exploring and plotting relationships between variables
  • Visualizations for categorical and continuous data, scatter plots, box plots, pie charts, histograms, bar plots, dot charts, and the char object.

Please visit Event Page for details and registration. http://www.eventbrite.co.uk/e/getting-started-with-r-and-data-analysis-london-b104-registration-11215823831?aff=eorg