Data Analysis and Statistical Inference – Duke University – Coursera

The goals of this course are as follows:

1. Recognize the importance of data collection, identify limitations in data collection methods, and determine how they affect the scope of inference.
2. Use statistical software (R) to summarize data numerically and visually, and to perform data analysis.
3. Have a conceptual understanding of the unified nature of statistical inference.
4. Model and investigate relationships between two or more variables within a regression framework.
5. Interpret results correctly, effectively, and in context without relying on statistical jargon..
6. Complete a research project that employs simple statistical inference and modeling techniques.

Duration:

10 weeks

8-10 hours per week

Part Time/Fulltime: – Part Time

Important Date:-

Course start date – Contact Institute

Basic math, no programming experience required.

• R

Mine Çetinkaya-Rundel: – Duke University