R Programming - Intermediate

R Programming - Intermediate

taught by Hongcheng Li


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Aim of Course:

This online course, “R Programming Intermediate,” is intended for experienced data analysts looking to unlock the power of R.  It provides a systematic overview of R as a programming language, emphasizing good programming practices and the development of clear, concise code.  After completing the course, students should be able to manipulate data programmatically using R functions of their own design.  After completing this course you should be able to

  • Efficiently deal with different data types and structures
  • Recognize and code different types of loops
  • Create user-defined functions
  • Use functions to avoid loops
  • Properly apply lexical scoping


This course may be taken individually (one-off) or as part of a certificate program.
Course Program:

WEEK 1: Data

  • Quick review of R data types and data structures
  • Importing data
  • Recoding data

WEEK 2: Loops

  • Measuring and monitoring R’s performance
  • Different types of loops
  • Fast loops

WEEK 3: Functions

  • Creating user-defined functions
  • Proper lexical scoping

WEEK 4: Avoiding loops

  • Using user-defined functions to avoid loops


Homework in this course consists of assigned readings, guided exercises in writing code, narrated slides, and supplemental readings available online.

R Programming - Intermediate

Who Should Take This Course:
Statistical analysts with at least one year of daily R use under their belts, who want to use R as a serious statistical computing tool.

Statistical analysts with at least one year of daily R use under their belts, who want to use R as a serious statistical computing tool.  In contrast with the detailed step-by-step approach in an introductory course, this more advanced course will use a more open and independent learning style, and students should expect to occasionally wrestle a bit with the concepts and be comfortable with a trial and error approach.

 If you are new to R, you should start with R Programming Intro 1.

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.

Options for Credit and Recognition:
Students come to the Institute for a variety of reasons. As you begin the course, you will be asked to specify your category:
  1. No credit - You may be interested only in learning the material presented, and not be concerned with grades or a record of completion.
  2. Certificate - 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. CEUs and/or proof of completion - 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.
  4. Digital Badge - Courses evaluated by the American Council on Education have a digital badge available for successful completion of the course.  
  5. Other options - Statistics.com Specializations, INFORMS CAP recognition, and academic (college) credit are available for some Statistics.com courses

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.

College credit:
R Programming - Intermediate has been evaluated by the American Council on Education (ACE) and is recommended for the upper-division baccalaureate degree category, 3 semester hours in computer science, information systems, 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 course text is The Art of R Programming: A Tour of Statistical Software Design, by Norman Matloff.

The following texts are not required for the course, but provide useful background and a handy reference once you are done. Each session will provide pointers to relevant material in the books.


Participants should be familiar with and have access to R. Click Here for information on obtaining a free copy.

The recommended R editor in this course is eMacs (while RStudio is used in other courses, it uses a different R engine, resulting in functionality discrepancies that can be distracting in class).



September 20, 2019 to October 18, 2019 March 27, 2020 to April 24, 2020 September 18, 2020 to October 16, 2020 March 26, 2021 to April 23, 2021

R Programming - Intermediate


September 20, 2019 to October 18, 2019 March 27, 2020 to April 24, 2020 September 18, 2020 to October 16, 2020 March 26, 2021 to April 23, 2021

Course Fee: $589

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: Email jdobbins "at" statistics.com 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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Add $50 service fee if you require a prior invoice, or if you need to submit a purchase order or voucher, pay by wire transfer or EFT, or refund and reprocess a prior payment. Please use this printed registration form, for these and other special orders.

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).

Contact Us
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