Abstract: Interested in data science but not sure where to start? In this workshop, we'll do a sprint through the basics of data science, from formulating a question as a data science problem to evaluating and improving your answer. The workshop will be a blend of short lectures on data science topics that tie together to build an end-to-end machine learning workflow, interspersed with code snippets in python that get your hands on the keyboard. If you're a data science beginner, or want to practice starting a data science workflow from scratch, this is a great workshop for you.
Bio: Katie Malone is Director of Data Science at Civis Analytics, a data science software and services company. At Civis she leads the Data Science Research and Development department, which tackles some of Civis' most novel and challenging data science consulting engagements as well as writing the core data science code that powers the Civis Data Science Platform. A physicist by training, Katie spent her PhD searching for the Higgs boson at CERN and is also the instructor for Udacity's Introduction to Machine Learning course. As a side project she hosts a weekly podcast about data science and machine learning, Linear Digressions.
Katie Malone, PhD
Director of Data Science at Civis Analytics