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[su_tab title=”Descrition”]
The goals of this course are as follows:
- Recognize the importance of data collection, identify limitations in data collection methods, and determine how they affect the scope of inference.
- Use statistical software (R) to summarize data numerically and visually, and to perform data analysis.
- Have a conceptual understanding of the unified nature of statistical inference.
- Model and investigate relationships between two or more variables within a regression framework.
- Interpret results correctly, effectively, and in context without relying on statistical jargon..
- Complete a research project that employs simple statistical inference and modeling techniques.
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[su_tab title=”Program structure”]
Duration:
10 weeks
8-10 hours per week
Part Time/Fulltime: – Part Time
Important Date:-
Course start date – Contact Institute
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[su_tab title=”Eligibility”]
Basic math, no programming experience required.
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[su_tab title=”Tools”]
- R
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[su_tab title=”Faculty”]
Mine Çetinkaya-Rundel: – Duke University
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[su_tab title=”Contact”]
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[/su_tabs]