JOHNS HOPKINS UNIVERSITY · UNITED STATES
Data Analysis Workshop II
Master's · Taught in en
At a glance
4 mo
Duration
—
IELTS
—
Tuition / yr
en
Language
Master's
Level
- 2Credit Hours
- 4th TermTerm
- In-PersonInstruction Method
- East BaltimoreLocation
This workshop is designed for students who have a solid foundation in biostatistical concepts relevant to public health sciences and wish to enhance their data analysis skills. The course focuses on understanding and applying various analytical techniques to public health datasets. Through a computer lab setting, students will utilize Stata statistical software to master advanced data analysis methods. Key topics include analysis of variance, analysis of covariance, non-parametric methods for group comparisons, multiple linear regression, logistic regression, log-linear regression, and survival analysis.
Curriculum
The course covers advanced methods in data analysis, emphasizing practical application using Stata.
- Academic Year 2026 - 2027
- Data Analysis Workshop II140.614.01
Frequently asked questions
- What are the entry requirements for the Data Analysis Workshop II?
- The Data Analysis Workshop II requires a prerequisite course, 140.613. No instructor consent is needed for enrollment, and it is open to undergraduate students.
- What is the duration and credit load of this workshop?
- The Data Analysis Workshop II is a 2-credit hour course offered in the 4th Term.
- What topics are covered in the Data Analysis Workshop II?
- This workshop covers advanced data analysis methods using Stata, including analysis of variance, covariance, non-parametric methods, multiple linear regression, logistic regression, log-linear regression, and survival analysis.
- What is the instruction method and location for this course?
- The course is taught in-person at the East Baltimore location.
- Where can I find information on tuition and fees?
- Specific tuition and fee details are not provided for this course. Prospective students should consult the university's official tuition and financial aid pages for comprehensive information.
- How do I apply for this workshop?
- To apply, visit the Johns Hopkins University Graduate Admissions website, review program requirements, submit the online application, and provide supporting documents like transcripts and letters of recommendation.
Entry requirements
Prerequisite Course140.613
This course is open to undergraduate students. No instructor consent is required for enrollment.
Fees
Tuition (international)Tuition information is not available for this specific course. Please refer to the university's graduate admissions page for general tuition details.
Tuition (home)Tuition information is not available for this specific course. Please refer to the university's graduate admissions page for general tuition details.
LivingEstimated living costs are not provided for this specific course. Please refer to the university's general cost of attendance information.
Specific tuition and fee details for individual courses are not provided. Prospective students should consult the university's official tuition and financial aid pages for comprehensive information.
How to apply
1. Visit the Graduate Admissions WebsiteNavigate to the Johns Hopkins University Graduate Admissions section to find information on programs and application procedures.
2. Review Program RequirementsCheck the specific admission requirements for the desired program, including academic prerequisites and standardized test scores.
3. Submit ApplicationComplete and submit the online graduate application form.
4. Provide Supporting DocumentsUpload all required supporting documents, such as transcripts, letters of recommendation, and personal statements.
5. English ProficiencyInternational applicants must demonstrate English language proficiency through accepted tests like TOEFL or IELTS if their prior education was not in English.
Scholarships
Sommer Scholars ProgramNot specified
Accreditation
Not specified
Frequently asked questions
What are the entry requirements for the Data Analysis Workshop II?
+
The Data Analysis Workshop II requires a prerequisite course, 140.613. No instructor consent is needed for enrollment, and it is open to undergraduate students.
What is the duration and credit load of this workshop?
+
The Data Analysis Workshop II is a 2-credit hour course offered in the 4th Term.
What topics are covered in the Data Analysis Workshop II?
+
This workshop covers advanced data analysis methods using Stata, including analysis of variance, covariance, non-parametric methods, multiple linear regression, logistic regression, log-linear regression, and survival analysis.
What is the instruction method and location for this course?
+
The course is taught in-person at the East Baltimore location.
Where can I find information on tuition and fees?
+
Specific tuition and fee details are not provided for this course. Prospective students should consult the university's official tuition and financial aid pages for comprehensive information.
How do I apply for this workshop?
+
To apply, visit the Johns Hopkins University Graduate Admissions website, review program requirements, submit the online application, and provide supporting documents like transcripts and letters of recommendation.