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Data Analysis and Statistical Inference – Duke University – Coursera

0-6 Month Online
Beginner Contact Institute
Online Business Analytics
Online Self Paced 2245


[su_tab title=”Descrition”]

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.


[su_tab title=”Program structure”]



10 weeks

8-10 hours per week


Part Time/Fulltime: – Part Time


Important Date:-

Course start date – Contact Institute


[su_tab title=”Eligibility”]

Basic math, no programming experience required.


[su_tab title=”Tools”]

  • R


[su_tab title=”Faculty”]

Mine Çetinkaya-Rundel: – Duke University



[su_tab title=”Contact”]

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