**Course Objectives:** | This course will introduce students to important modern
statistical software packages, including SAS and R, and train
them in how to use these packages to manipulate and
statistically analyze data. Students who take this course will
learn how to get data into and out of statistical software
packages. They will learn the various data types, formats and
modes used in statistical software and will learn how to
manipulate data structures such as SAS datasets and R data
frames ,including sorting, merging, transposing, assigning, and
generating data.
They will learn statistical programming techniques in modern
software, including flow control, conditional execution, R
functions, and SAS macros. Students will be introduced to basic
statistical graphics and methods of exploratory data analysis
and how to implement them. Students will learn software tools
such as SAS procedures and R functions to implement basic
methods of statistical inference and modeling. More broadly,
students will learn the appropriate role of statistical
software in conducting statistical analyses and the proper use
of output from statistical software to communicate the results
of statistical analyses through oral and written means. |

**Topical Outline:** | Course topics include data input/output; data formats and types;
data management; flow control, conditional execution and program
design; statistical graphics and exploratory data analysis;
basic procedures and functions for statistical modeling and
inference; communicating the results of statistical analyses
using statistical software and its output. Software-specific
topics may include SAS data frames; SAS functions and commands;
select SAS procedures for data management and statistical
analysis; the SAS macros language; the SAS output delivery
system; R objects such as data frames, matrices, vectors, their
modes and how to manipulate them; R functions and how to write
them; R packages; using R for statistical graphics and data
analysis. At the instructorâ€™s discretion, statistical software
packages other than SAS and R may also be considered. |