R Programming Intro 2

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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.

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:

This course takes place online at the Institute for 4 weeks. During each course week, you participate at times of your own choosing - there are no set times when you must be online. Course participants will be given access to a private discussion board. In class discussions led by the instructor, you can post questions, seek clarification, and interact with your fellow students and the instructor.

At the beginning of each week, you receive the relevant material, in addition to answers to exercises from the previous session. During the week, you are expected to go over the course materials, work through exercises, and submit answers. Discussion among participants is encouraged. The instructor will provide answers and comments, and at the end of the week, you will receive individual feedback on your homework answers.

Time Requirement:
About 15 hours per week, at times of  your choosing.

Credit:
Students come to the Institute for a variety of reasons. As you begin the course, you will be asked to specify your category:

  1. You may be interested only in learning the material presented, and not be concerned with grades or a record of completion.
  2. You may be enrolled in PASS (Programs in Analytics and Statistical Studies) that requires demonstration of proficiency in the subject, in which case your work will be assessed for a grade.
  3. You may require a "Record of Course Completion," along with professional development credit in the form of Continuing Education Units (CEU's).  For those successfully completing the course,  CEU's and a record of course completion will be issued by The Institute, upon request.
R Programming - Introduction 2 has been evaluated by the American Council on Education (ACE) and is recommended for the lower-division baccalaureate/ associate degree category, 3 semester hours in computer science, information systems, or statistics. Note: The decision to accept specific credit recommendations is up to each institution. More info here.
This course is also recognized by the Institute for Operations Research and the Management Sciences (INFORMS) as helpful preparation for the Certified Analytics Professional (CAP®) exam, and can help CAP®analysts accrue Professional Development Units to maintain their certification .


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.


R Programming - Introduction 2

Instructor(s):
Dates:
April 07, 2017 to May 05, 2017June 09, 2017 to July 07, 2017September 08, 2017 to October 06, 2017January 26, 2018 to February 23, 2018April 06, 2018 to May 04, 2018June 08, 2018 to July 06, 2018September 07, 2018 to October 05, 2018

Course Fee: $549