Data Science: Inference and Modelling is the fourth of nine courses for the Professional Certificate Program in Data Science taught by the famous Prof. of Biostatistics Rafael Irizarry from Harvard University through edX platform.
This course covers:
- The concepts necessary to define estimates and margins of errors of populations, parameters, estimates and standard errors in order to make predictions about data
- How to use models to aggregate data from different sources
- The very basics of Bayesian statistics and predictive modeling
- Parameters and Estimates
- Introduction to Inference
- Confidence Intervals and P-Values
- Statistical Models
- Bayesian Statistics
- Election Forecasting
- The t-distribution
- Association and Chi-Squared Test
You can see the Certificate of Completion and other certificates in my Certificates Repo that contains all my certificates obtained through my journey as a self-made Data Science and better developer.
Please, don't fork or copy this repository.
The Data Science Professional Program offered by HavardX, is a very easy and straight forward path. Data Science is one of the hardest subfield of Computer Science and requires a lot of study and hard work.