Galvanize Statistics: Short-Course for Data Science - 1/27 & 1/29

Join Galvanize's Data Science Immersive Instructor Frank Burkholder, Ph.D. for two nights of statistics to brush up on your skills!

Main Topics: 

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 Galvanize's Data Science Immersive? As part of the admissions process for the Data Science Immersive - there are two interviews: Python and Statistics. These materials survey the areas of probability and statistics that will be covered in the statistics interview. In addition to the overview, there are resources for further study that are meant to reinforce the most important topics. You can submit your application here.

Please bring your own laptop to this course.

Reach out to travis@galvanize.com with any questions or book a time here.