Galvanize Statistics: Short-Course for Data Science - 1/27 & 1/29
Day 1 (1/27) - 6pm-9pm): Probability, Probability distributions, Bayesian and frequentist paradigms
Day 2 (1/29) - 6pm-9pm): Random variables, Statistical inference, Regression, Classification, Evaluation metrics
We will begin the first day with a gentle introduction to probability and the major distributions used in statistics. We will finish with a concept-driven explanation of frequentist and Bayesian statistics.
On the second day, we will dive a bit further into how to make use of probability distributions for inference and hypothesis testing. We will then introduce regression and classification through the use of examples. Finally, we will discuss some of the commonly used methods of evaluating model results.
We will use Python to illustrate the concepts, but no working knowledge of Python or any other language is required.
Interested in the
Please bring your own laptop to this course.