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Data Management for Social Science Research
EPPS 6324
School of Economic, Political and Policy Sciences
Covers the principles and practical techniques of data cleaning, data organization, quality control, and automation of research tasks. Topics covered will include data types, useful text and math functions, labeling, recoding, data documentation, merging datasets, reshaping, and programming structures such as macros, loops, and branching using Stata and R. The course will also discuss using LaTeX to automate outputting of results and graphics in publishable formats. 3 credit hours.
Prerequisite: EPPS 6313 or EPPS 7313 or instructor consent required.
Offering Frequency: Based on student interest and instructor availability
Grades: 21
Median GPA: A
Mean GPA: 3.933
Click a checkbox to add something to compare.
Data Management for Social Science Research
EPPS 6324
School of Economic, Political and Policy Sciences
Covers the principles and practical techniques of data cleaning, data organization, quality control, and automation of research tasks. Topics covered will include data types, useful text and math functions, labeling, recoding, data documentation, merging datasets, reshaping, and programming structures such as macros, loops, and branching using Stata and R. The course will also discuss using LaTeX to automate outputting of results and graphics in publishable formats. 3 credit hours.
Prerequisite: EPPS 6313 or EPPS 7313 or instructor consent required.
Offering Frequency: Based on student interest and instructor availability
Grades: 21
Median GPA: A
Mean GPA: 3.933
Click a checkbox to add something to compare.
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