Title: Concepts in Computing with Data.
Slug: about

### UC Berkeley, Statistics 159 and 259, Fall 2015

A project-based introduction to statistical data analysis.
Through case studies, computer laboratories, and a term project,
students will learn practical techniques and tools
for producing statistically sound and appropriate, reproducible, and verifiable
computational answers to scientific questions.
Course emphasizes version control, testing, process automation,
code review, and collaborative programming.
Software tools may include Bash, Git, Python, and LaTeX.

* Instructor
    * [Jarrod Millman](http://www.jarrodmillman.com)
    * OH: TBD
* GSI
    * TBD
    * OH: TBD
* CCN: TBD

**Prerequisites**: Statistics 133, Statistics 134, and Statistics 135 (or equivalent).

Title: Concepts in Computing with Data.
Slug: about

### UC Berkeley, Statistics 159 and 259, Fall 2015

A project-based introduction to statistical data analysis.
Through case studies, computer laboratories, and a term project,
students will learn practical techniques and tools
for producing statistically sound and appropriate, reproducible, and verifiable
computational answers to scientific questions.
Course emphasizes version control, testing, process automation,
code review, and collaborative programming.
Software tools may include Bash, Git, Python, and LaTeX.

* Instructor
    * [Jarrod Millman](http://www.jarrodmillman.com)
    * OH: TBD
* GSI
    * TBD
    * OH: TBD
* CCN: TBD

**Prerequisites**: Statistics 133, Statistics 134, and Statistics 135 (or equivalent).

### Syllabus

For reference, here are tentative drafts of the

* [Stat 159 syllabus](|filename|/files/stat159-syllabus.pdf)
* [Stat 259 syllabus](|filename|/files/stat259-syllabus.pdf)

Please note that these will evolve over the summer, but should give you a reasonable
idea of the intended content and structure of the courses.

Add link to draft syllabii
Add link to draft syllabii
