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

My guess is that Python will eventually supersede R for most data manipulation analysis and tasks ... This tutorial is not meant as an introduction to Python. For that, you should search elsewhere on ...

The accurate use of data is important as it allows for sensible conclusions to be reached. Percentages close percentageA proportion representing parts per hundred, for example 9% is 9 out of 100 ...

Processing data is changing it to make it more useful. There are many ways to process data, including: mean - add the total of all values that have been collected and then divide by the number of ...

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 ...

This course is available on the Global MSc in Management, Global MSc in Management (CEMS MiM), Global MSc in Management (MBA Exchange), MPhil/PhD in Demography/Population Studies, MSc in Applied ...

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 ...

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