Course Website Locator: shh242-01

Harvard School of Public Health

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Fall 2 2009

Dr. M. Ganz
2.50 credits
Lectures. One 3-Hour Session each week.

The purpose of this course is to introduce students to methods of identifying, creating, and analyzing existing data sets. The course will focus on practical methods for data manipulation and processing that are relevant to research on topics in human development, social epidemiology, and health policy. Several national data sets will be introduced and discussed. Topics will include working with multiple data sources, merging data sources, how to create useful subsamples, methods for working with panel data, and methods for linking higher-level contextual data with individual-level data. The Stata statistical software package will be used. Students will complete brief computer-based homework assignments, a midterm exam, and a final exam.
Course Activities: The course will be lectures, computer based assignments and a final exam.
Course Notes: Enrollment limited to 25 students; BIO200 or BIO205 is required, no auditors, instructor's signature required.


Course evaluations are an important method for feedback on the quality of course offerings. The submission of a course evaluation is a requirement for this course. Your grade for the course will be made available only after you have submitted responses to at least the first three questions of the on-line evaluation for this course.

Fall 2 2008

Dr. M. Ganz
2.50 credits
Lectures. One 3-Hour Session each week.

The purpose of this course is to introduce students to methods of identifying, creating, and analyzing existing data sets. The course will focus on practical methods for data manipulation and processing that are relevant to research on topics in human development, social epidemiology, and health policy. Several national data sets will be introduced and discussed. Topics will include working with multiple data sources, merging data sources, how to create useful subsamples, methods for working with panel data, and methods for linking higher-level contextual data with individual-level data. The Stata statistical software package will be used. Students will complete brief computer-based homework assignments, a midterm exam, and a final exam.
Course Activities: The course will be lectures, computer based assignments and a final exam.
Course Notes: Enrollment limited to 25 students; BIO200 or BIO205 is required, no auditors, instructor's signature required.


Course evaluations are an important method for feedback on the quality of course offerings. The submission of a course evaluation is a requirement for this course. Your grade for the course will be made available only after you have submitted responses to at least the first three questions of the on-line evaluation for this course.

Spring 1 2008

Dr. M. Ganz
2.50 credits
Lectures. One 3-Hour Session each week.

The purpose of this course is to introduce students to methods of identifying, creating, and analyzing existing data sets. The course will focus on practical methods for data manipulation and processing that are relevant to research on topics in human development, social epidemiology, and health policy. Several national data sets will be introduced and discussed. Topics will include working with multiple data sources, merging data sources, how to create useful subsamples, methods for working with panel data, and methods for linking higher-level contextual data with individual-level data. The Stata statistical software package will be used. Students will complete brief computer-based homework assignments, a midterm exam, and a final exam.
Course Activities: The course will be lectures, computer based assignments and a final exam.
Course Notes: Enrollment limited to 25 students; BIO200 or BIO205 is required, no auditors, instructor's signature required. (5.06)


Course evaluations are an important method for feedback on the quality of course offerings. The submission of a course evaluation is a requirement for this course. Your grade for the course will be made available only after you have submitted responses to at least the first three questions of the on-line evaluation for this course.

Spring 1 2007

Dr. M. Ganz
2.50 credits
Lectures. Two 2-hour sessions each week.

The purpose of this course is to introduce students to methods of identifying, creating, and analyzing existing data sets. The course will focus on practical methods for data manipulation and processing that are relevant to research on topics in human development, social epidemiology, and health policy. Several national data sets will be introduced and discussed. Topics will include working with multiple data sources, merging data sources, how to create useful subsamples, methods for working with panel data, and methods for linking higher-level contextual data with individual-level data. The Stata statistical software package will be used. Students will complete brief computer-based homework assignments, a midterm exam, and will turn in a final data-based project.
Course Activities: The course will be lectures, computer based assignments and a data-based project.
Course Notes: Enrollment limited to 25 students; BIO200 or BIO205 is required, no auditors, instructor's signature required. (5.06)


Course evaluations are an important method for feedback on the quality of course offerings. The submission of a course evaluation is a requirement for this course. Your grade for the course will be made available only after you have submitted responses to at least the first three questions of the on-line evaluation for this course.

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