Sessions

A1, A2 – Machine Learning Track

1-2 Days of What You Need to Get Started with Analysis in R and Healthcare Machine Learning

Ever wanted to participate in the machine learning conversation but weren’t quite sure where to start? Need help going from theoretical conversations to boots-on-the ground action? In both of these hands-on workshop, you’ll learn how to get started. If you haven’t learned data analysis in RStudio, then sign up for Part 1 Day 1 so you’ll be ready for Day 2 of Machine Learning. If you already know RStudio, then sign up just for Day 2. Walk in ready to learn, and you’ll leave with the knowledge necessary to be able to deploy a model that you’ve created! Specifically, you’ll learn how to:

A1 – Healthcare data analysis in R
(Part 1, Day 1, Half Day)

  • Install packages in RStudio
  • Tell a data story with a notebook
  • Load data from common sources
  • Profile your data
  • Create visualizations
  • Do statistics
  • Keep building skills after you leave

Register for Day 1

A2 – Healthcare Machine learning
(Part 2, Day 2, Full Day)

  • Pick a ML use case with high ROI
  • Prepare the data
  • Develop a model
  • Deploy into production
  • Visualize the predictions
  • Check in and retrain the model
  • Keep building skills after you leave

Register for Day 2

Who should attend: This session has been designed for analysts, data scientists, and data architects.

What to bring: To participate in the in-class activities, you will need a laptop. Any operating system is fine as long as you have the ability to install programs (specifically R and RStudio) and you have the space to load data sets (<10MB).

Prerequisites: This course assumes a working knowledge of basic statistical concepts (mean, medians) and experience working with tabular data (in Excel or SQL).

Notes: Breakfast and lunch are included in the registration fee.

Apply to be an Analytics Walkabout Speaker

[gravityform id=1 title=false description=false ajax=true]