Introduction to R - Data Handling

Brief Description:

This course will provide an easy introduction to R and its use in organizing and exploring data. Once you've completed this course you'll be able to enter, save, retrieve, manipulate, summarize and display data using R.

See also the related course Introduction to R-Statistical Analysis, which is an introduction to the use of R for executing statistical tests and procedures.

Instructor(s):
Level: introductory/intermediate

Who Should Take This Course:

Anyone who wants to wants to learn the fundamentals of data handling and programming in R.

Dates:
February 10, 2012 to March 09, 2012July 27, 2012 to August 24, 2012
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Registration:
Please read the syllabus tab, noting the prerequisites, text and software requirements.

Register Online -$499
Register Online -$399 (you must be affiliated with a college, university or high school)

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Introduction to R - Data Handling

Aim of Course:

This course will provide a basic introduction to R, and its use in organizing and exploring data. The emphasis is on understanding and working with fundamental R data structures and we will introduce some basic R programming techniques. Once you've completed this course you'll be able to enter, save, retrieve, manipulate, and summarize data using R; you will also have the proper foundation to build your programming skills in R and take advantage of the full power of R.

Please see also our course Introduction to R-Statistical Analysis, which is suitable for those needing to get up to speed very quickly in certain standard statistical analysis routines, without a systematic introduction to programming.

Prerequisite(s):
There is no statistical requirement. Having written computer code before would be helpful, but this is not assumed.
Course Program:

SESSION 1: Getting Started with R

• The R command line
• Function calls, symbols, and assignment
• Packages
• Getting help on R

SESSION 2: Data Structures and Subsetting

• Data Types and data structures
• Subsetting data
• Type coercion

SESSION 3: Import/Export and Data Manipulation

• Text files, XML, Spreadsheets, and binary files
• Large data sets
• Tabulating and aggregating

SESSION 4: Advanced Data Manipulation

• Merging, Splitting and Reshaping
• Text Processing
• Data Formatting

Organization of the Course:

This course takes place over the internet, at statistics.com 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.

The course typically requires 15 hours per week. 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 you will receive individual feedback on your homework answers.

Credit:
Students come to The Institute for a variety of reasons:

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 (Program in Advanced 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).

As you begin the class, you will be asked to specify your category.

This course offers continuing education units (CEU's). For those successfully completing the course (generally this means marks of 50% or better on the homework), 5.0 CEU's and a record of course completion will be issued by Statistics.com, upon request.

Course Text:

The course text is Introduction to Data Technologies by Paul Murrell. It that may be purchased from the publisher Chapman Hall here. For a discount from the publisher, submit this form. The text is also available online here in both PDF and HTML formats.

Software:

You must have a copy of R for the course. Click Here for information on obtaining a free copy.

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Introduction to R - Data Handling

Instructor(s):
Dates:
February 10, 2012 to March 09, 2012July 27, 2012 to August 24, 2012
Course Fee: $499
Academic Discounted Rate: $399

Before registering, please read the syllabus tab, noting the prerequisites, text and software requirements. When you click the register button, you will be taken to our secure transaction page.

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