data relationships; correlation; inference with confidence; significance tests; network simulation and analysis; performance analysis of systems and networks. REQUIRED TEXT: Moore, McCabe & Craig, ...

apply basic R functions for twin-focused data analysis and visualization, and (4) translate the implementation of a basic ACE model between a structural equation model and an OpenMx model ...

My guess is that Python will eventually supersede R for most data manipulation analysis and tasks. The underlying Python language is modern ... This tutorial is not meant as an introduction to Python.

I taught an eight-hour short course "Functional Data Analysis Using R" at the International Chinese Statistical Association (ICSA) 2021 Applied Statistics Symposium on September 12, 2021. Introduction ...

Introduces students to the tools methods and theory behind extracting insights from data. Covers algorithms of cleaning and munging data, probability theory and common distributions, statistical ...

Collecting and recording data When carrying out an investigation, you will need to collect and record data from which you can draw conclusions. Presenting data - graphs, charts and diagrams ...

Bruns, William J., Jr. "Introduction to Financial Ratios and Financial Statement Analysis." Harvard Business School Background Note 193-029, August 1992. (Revised September 2004.) ...

This course will give an introduction to the theory and practice of analyzing high-throughput RNA sequencing through lectures and hands-on exercises. The basic topics covered will include: 1) the ...