Bayesian Statistics for Data Science Specialization
In this specialization, you will learn how to:
- Implement Bayesian inference to solve real-world statistics and data science problems.
- Articulate the logic of Bayesian inference and compare and contrast it with frequentist inference.
- Utilize conjugate, improper, and objective priors to find posterior distributions.
Courses
- Introduction to Bayesian Statistics for Data Science
Stay tuned as more courses in this specialization are released!
This specialization can be taken for academic credit as part of CU Boulder’s MS in Data Science degree offered on the Coursera platform. Learn more: MS in Data Science.