Data Science, Python, Probabilistic Programming.
analysis can be summarized in just two concepts. Use probability distributions to represents the uncertainty in your model parameters. Then use Bayes theorem to update those probabilities given the data you have. All the rest derives from these two main concepts. Other concepts that are important