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In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment, discuss generic programming language concepts as they are implemented in a high-level statistical language. The course covers practical issues in statistical computing which includes programming in R, reading data into R, creating informative data graphics, accessing R packages, creating R packages with documentation, writing R functions, debugging, and organizing and commenting R code. Topics in statistical data analysis and optimization will provide working examples.

coursera-computing-for-data-analysis-r's Introduction

Computing-for-Data-Analysis-R

Grading Your grade in this course will consist of performance on four weekly quizzes and two programming assignments. The breakdown of the weighting for these elements is:

Week 1 Quiz: 10 points

Week 2 Quiz: 10 points

Week 3 Quiz: 10 points

Week 4 Quiz: 10 points

Programming assignment 1: 10 points

Programming assignment 2: 20 points

Programming assignment 3: 20 points

Programming assignment 4: 10 points

There is a maximum of 100 points to obtain in this course through the four quizzes and the four programming assignments.

Performance in this course will be evaluated on a pass/fail basis. The final grade for the course will be based on the total number of points earned across the four quizzes and four programming assignments. In order to receive a passing grade and a Statement of Accomplishment, you must have a earned a total number of points of 70 or more.

Weekly Schedule:

Week 1:

Introduction and overview

Installing R

Data types, subsetting

Reading/writing data

Week 2:

Control structures

Functions

Loop functions

Debugging

Week 3:

Simulation

Plotting, visualizing data

Priniciples of data graphics

Reproducible research

Literate statistical programming

Week 4:

Objected oriented programming

Data abstraction Regular expressions

Quiz Opening/Closing Dates:

Quiz 1: 2013-9-23 12:00:00 AM EDT to 2013-9-30 11:59:00 PM EDT

Quiz 2: 2013-9-30 12:00:00 AM EDT to 2013-10-07 11:59:00 PM EDT

Quiz 3: 2013-10-7 12:00:00 AM EDT to 2013-10-14 11:59:00 PM EDT

Quiz 4: 2013-10-14 12:00:00 AM EDT to 2013-10-21 11:59:00 PM EDT

Programming Assignments:

There will be four programming assignments that will involve writing R code and R functions. These assignments will allow you to work on your R programming skills and practice writing and debugging code. For each programming assignment you will be asked to write R code or functions that produce output given a certain input. Your grade on the assignment will be based on whether the output your function produces matches the correct output. Details can be found in the descriptions of each programming assignment.

Programming Assignment Due Dates:

Programming Assignment 1: 2013-9-23 12:00:00 AM EDT to 2013-09-30 11:59:00 PM EDT

Programming Assignment 2: 2013-9-30 12:00:00 AM EDT to 2013-10-7 11:59:00 PM EDT

Programming Assignment 3: 2013-10-7 12:00:00 AM EDT to 2013-10-14 11:59:00 PM EDT

Programming Assignment 4: 2013-10-14 12:00:00 AM EDT to 2013-10-21 11:59:00 PM EDT

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