Statistics.com LMS
Available courses
Aim of Course:
This course describes the various methods used for modeling and evaluating survival data, also called time-to-event data.
Aim of Course:
Participants in this course will learn why Bayesian computing has gained wide popularity, and how to apply Markov Chain Monte Carlo techniques (MCMC) to Bayesian statistical modeling using WinBUGS software.
- Teacher: Peter Congdon
Aim of Course:
After taking this course, participants will be able to design appropriate conjoint and choice studies, using surveys, panels, and designed experiments. They will also be able to analyze and interpret the resulting data.
- Teacher: Anthony Babinec
Aim of Course:
- Teacher: John Elder
- Teacher: John Elder V
- Teacher: Kimberly Keiter
- Teacher: Bryce Pilcher
- Teacher: Robert Reed
- Teacher: Robert Robison
- Teacher: Mike Thurber
- Teacher: Benton Tripp
- Teacher: Evan Wimpey
- Teacher: Ramzi Ziade
Aim of Course:
This course covers how to read, understand, manipulate, and use data. There is no prerequisite knowledge for this course, but it does require access to Excel.
- Teacher: Veronica Carlan
Aim of Course:
This course covers how to develop and implement data science projects in a responsible and ethical way. It includes a review of predictive modeling, but some prior familiarity is helpful.
- Teacher: Peter Bruce
- Teacher: Peter Bruce
- Teacher: Grant Fleming
Aim of Course:
Aim of Course:
This course will teach you how to build and monitor a machine learning pipeline, given a predictive model that has been provided by a data science team.
- Teacher: Mike Thurber
- Teacher: Saul Yeaton
Aim of Course:
This course continues the work of Predictive Analytics 1, and introduces
you to additional techniques in predictive analytics, also called
predictive modeling, the most prevalent form of data mining.
- Teacher: Poonam Tribhuwan
Aim of Course:
This course will teach a mix of quantitative and qualitative methods for describing, measuring and analyzing social networks.
- Teacher: Karen Schmidt