R Programming - Introduction 2
Taught by Mr. Joris Meys

R Programming - Introduction 2

taught by Joris Meys

 

Aim of Course:

In this online course, “R Programming Intro 2,” you will continue your introduction to R programming. You will learn how R works with numeric vectors and special values, and how to deal with special values.  You will start working with R to handle text data, and learn about regular expressions, dates, classes and generic functions, as well as matrices, data frames and lists.  After completing this course you should be able to

  • Create and work with numeric vectors and summaries
  • Deal with special values
  • Work with regular expressions in text
  • Process text with search, replace, split and paste operations
  • Work with matrices, data frames and lists
  • Process date expressions so they can be used in analysis

 

Course Program:

WEEK 1: Vectors

  • numeric vectors
  • special values
  • numeric summaries

WEEK 2: Text

  • text processing
  • regular expressions
  • search, replace, split, paste


WEEK 3: Data Frames

  • matrices and data frames and lists
  • data processing


WEEK 4:  Dates

  • dates
  • classes and generic functions

HOMEWORK:

Homework in this course consists of guided exercises in writing code.

In addition to assigned readings, this course also has practice exercises, supplemental readings available online, and a supplemental archive of prior course discussions.

R Programming - Introduction 2

Who Should Take This Course:

Take this course if you want to continue your R programming education.

Level:
introductory/intermediate
Prerequisite:
R Programming - Introduction 1 or some prior programming experience and some familiarity with an installed R system.  Statistics is not a requirement, but familiarity with some basic statistical notation will help (e.g. the means, deviations and summations involved in calculating standard deviation).
Organization of the Course:
Options for Credit and Recognition:

Specialization:
Specializations are an easy way for you to demonstrate mastery of a specific skill in statistics and analytics. This course is part of the R Programming Specialization which covers the basics of R Programming all the way to advanced techniques.  Take any three of the four Statistics.com courses on this topic (this course, plus the courses listed to the right under "related courses," not including conferences).  For savings, use the promo code "rprog-specialization" and register for all three courses at once for  $1197 ($399 per course, not combinable with other tuition savings).  If you register for all four, you'll still receive the discounted rate.

Course Text:

The required text for this course is R For Dummies, by de Vries and Meys, second edition.

PLEASE ORDER YOUR COPY IN TIME FOR THE COURSE STARTING DATE.

Software:

You will need both R (download here) and RStudio (download here).  RStudio is an editing and development environment that is especially designed as a place to write R code.  Both programs are free.

Instructor(s):

Dates:

March 15, 2019 to April 12, 2019 July 12, 2019 to August 09, 2019 November 15, 2019 to December 13, 2019 March 13, 2020 to April 10, 2020 July 17, 2020 to August 14, 2020 November 13, 2020 to December 11, 2020 March 12, 2021 to April 09, 2021

R Programming - Introduction 2

Instructor(s):

Dates:
March 15, 2019 to April 12, 2019 July 12, 2019 to August 09, 2019 November 15, 2019 to December 13, 2019 March 13, 2020 to April 10, 2020 July 17, 2020 to August 14, 2020 November 13, 2020 to December 11, 2020 March 12, 2021 to April 09, 2021

Course Fee: $549

Do you meet course prerequisites? What about book & software? (Click here to learn more)

We have flexible policies to transfer to another course, or withdraw if necessary (modest fee applies)

Group rates: Click here to get information on group rates. 

First time student or academic? Click here for an introductory offer on select courses. Academic affiliation?  You may be eligible for a discount at checkout.

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Courses may fill up at any time and registrations are processed in the order in which they are received. Your registration will be confirmed for the first available course date, unless you specify otherwise.

The Institute for Statistics Education is certified to operate by the State Council of Higher Education in Virginia (SCHEV).

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