Microsoft

Introduction to R Programming ISI-1493B

  • 0 upcoming dates
  • $1,295 per seat

About this class

This course has been updated to ISI-1572 – R for Data Anlysis.

Over the past few years, R has been steadily gaining popularity with business analysts, statisticians and data scientists as a tool of choice for conducting statistical analysis of data as well as supervised and unsupervised machine learning.

This two-day, instructor-led course helps students learn the practical aspects of the R programming language. The course is supplemented by many hands-on labs which allow attendees to immediately apply their theoretical knowledge in practice. Topics include high octane introduction to R programming; learning about R data structures; working with R functions; statistical data analysis with R.

This course introduces the R language, the RStudio editor, and common R packages used to import, manipulate, and analyze data. The 20773 class assumes basic familiarity with R and builds on that foundation by adding visualization, machine learning algorithms (including regression, clustering, and decision trees), support for very large data sets using Microsoft R Server, and ways to access Microsoft SQL Server database data.

This course is appropriate for business analysts, technical managers and programmers.

What you'll be able to do

  • At course completion, students will be able to use an R development environment, access
  • data stored in files, import package code, and write their own R functions.

Course outline

  1. Module 1

    • knowledge of statistics and programming.
    • What is R?
    • Positioning of R in the Data Science Space
    • The Legal Aspects

Download the full outline (PDF)

Before you attend

Student Materials The student kit includes a comprehensive workbook and other necessary materials for this class.

Run this for a team

Private cohorts run on your dates, at your site or online, with the labs pointed at your environment. Above about four people it usually costs less than buying seats.

Or call 916-920-1700, weekdays 8 to 5 Pacific.

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