Spring 2019 not offered
|Certificates: Applied Data Science|
|Course Cluster: Data Analysis Minor|
"Big data" is a popular buzzword that describes techniques using very large datasets, often from nontraditional sources. Many technology firms essentially base their businesses on big data; Google, Facebook, and Amazon are all examples. Increasingly, there are opportunities and pressures to employ these techniques in other areas of the economy and society such as government, health care, and education. This course examines big-data analysis techniques and how they relate to conventional economic statistics; the effect of big data on the economy, society, and privacy; and practical methods of big-data analysis using the R statistics package.
||Gen Ed Area Dept:
|Course Format: Lecture||Grading Mode: Student Option|
||Prerequisites: ECON101 OR ECON110
||Fulfills a Major Requirement for: (CADS)(DATA-MN)(ECON-MN)(ECON)
|Examination and Assignments: |
Problem sets/data exercises, 3 short quizzes, final paper/project
|Additional Requirements and/or Comments: |
Students should have completed ECON 101, ECON 110, or any statistics course.
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