Basics of Data

Yegin Genc

- Course overview and mechanics
- Built-in data types
- Built-in functions and operators
- First data structures: Vectors and arrays

*Independence*: Otherwise, you rely on someone else having given you exactly the right tool*Honesty*: Otherwise, you end up distorting your problem to match the tools you have*Clarity*: Making your method something a machine can do disciplines your thinking and makes it public; that's science

- No programming knowledge presumed
- Some stats. knowledge presumed
- General programming mixed with data-manipulation and statistical inference
- Class will be
*very*cumulative

- Lectures: concepts, methods, examples
- In-class Assignments to try stuff out and get fast feedback
- HW weekly to do longer and more complex things
- Projects:
- Project 1: Descriptive statistics
- Project 2: Inferencial Statistics

- Midterm and Final: in class, hands-on

Download and review at https://www.r-project.org/