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R for Data Analysis

Course Details
Code: CN2-R-DA
Tuition (USD): $1,900.00 • Classroom (2 days)

R is an open source project including a language and an environment for statistical computing and graphics. This course will give attendees an in depth introduction to R and it use as a data analysis tool. The course examines a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering) and graphical techniques for working with data. Hands on labs will give attendees practical experience curating data, working with R commands for statistics and visualization as well as a short introduction to programming in R. Upon completion, attendees will have a broad but practical understanding of R and is use in data analysis.

Skills Gained

  • This course is designed to provide attendees with a practical introduction to data analysis with R.

Who Can Benefit

  • Application developers, analysts and data scientists

Prerequisites

  • Each attendee will require the ability to run a 64 bit virtual machine (provided with the course). Basic Linux command line skills are valuable but not required.

Course Details

R for Data Analysis

  • Day 1
  1. Introduction to R
  2. Working with data
  3. Data visualization
  4. Populations and distributions
  • Day 2
  1. Simulations and confidence intervals
  2. Significance tests and goodness of fit
  3. Regressions and variance analysis
  4. Time series and forecasting
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