This course will provide additional training in R and 
introduce students to the programming environment Python, and 
train them in how to use functions/packages to manipulate and 
statistically analyze data. Students who take this course will 
learn to:
1. Identify and use standard variable types;
2. Write expressions with appropriate syntax; 
3. Input and output data in various formats; 
4. Conduct common statistical analyses using standard functions; 
5. Produce statistical graphics; 
6. Find and use appropriate libraries and modules; 
7. Know key libraries and modules; 
8. Use vectorized calculations; 
9. Efficiently manipulate data types and objects; 
10. Write functions; 
11. Identify appropriate situations for applications of for 
loops and while loops and be able to implement them; 
12. Identify appropriate situations for applications of if-then 
and other decision statements and be able to implement them; 
13. Access a database from SQL;
14. Implement SQL procedures and understand their usage;
15. Run SQL queries;
16. Create an SQL database from existing files;
17. Use nested statements appropriately; 
18. Write programs to implement more complex data analysis and 
data manipulation; 
19. Know pros and cons of each language relative to each other 
and other programming languages; and
20. Know the proper use of output from statistical software to 
communicate the results of statistical analyses through oral and 
written means.

Students will demonstrate competence through individual or group 
programming projects, labs, and examinations throughout the 
course.

Course topics include:
Data input/output
Data formats and types
Data management
Basic procedures, functions for statistical modeling, inference, 
and statistical graphics 
Introduction to algorithms, flow control, conditional execution, 
and program design
Accessing data using SQL
Writing programs for more complex data manipulation and analysis

UGA Student Honor Code: "I will be academically honest in all of 
my academic work and will not tolerate academic dishonesty of 
others." A Culture of Honesty, the University's policy and 
procedures for handling cases of suspected dishonesty, can be 
found at www.uga.edu/ovpi. Every course syllabus should include 
the instructor's expectations related to academic integrity.