# Sept 2: Statistics in Practice

This week, our topic is Data Engineering, and we feature a guest blog by Will Goodrum, a data scientist at Elder Research. Our course spotlight is

See you in class!

Peter Bruce

Founder, Author, and Senior Scientist

# Four Common Pitfalls in Data Engineering

Regular readers of this feature know that we typically discuss problems where we already have well-structured data and can address an interesting question. This week Will Goodrum, a data scientist with Elder Research, our parent company, looks at a larger picture in his: “Four Common Pitfalls in Data Engineering.” […]

# Words of the Week

## Relative Risk Ratio and Odds Ratio

The Relative Risk Ratio and Odds Ratio are both used to measure the medical effect of a treatment or variable to which people are exposed. Why do two metrics exist, particularly when “risk” is a much easier concept to grasp? […]

# Course Spotlight

## Oct 2 – 30: Categorical Data Analysis

Categorical data are perhaps the most important form of data, at least as far as outcomes. In their binary form, they embody the reduction of data to the yes-no decisions that govern much of daily life and work. In this course you will learn how to

• Set up contingency tables and calculate metrics like relative risk and odds ratios
• Fit logistic regression models
• Conduct diagnostics on and interpret logistic regression models

Your instructor, Brian Marx, Professor of Statistics at Louisiana State University, has taught Categorical Data Analysis for over twenty five years and is currently serving as Chair of the Statistical Modelling Society.

This course is a required course in the Biostatistics Certificate Program.

See you in class!

# Certificate Spotlight

## Biostatistics Certificate Program

This online certificate program in biostatistics and epidemiology provides the skills needed to gather, analyze, and assess data for activities like clinical trials, medical research, and public health studies. This 10-course program – including seven required courses and three electives – covers the critical, statistical concepts used in medical and health sciences.

The core curriculum includes instruction at the graduate level, and is taught by leading experts in biostatistics and epidemiology. The certificate program includes a deep dive into biostatistics for medical science and public health, and mixes theory and practical application so you can apply your skills immediately at your current job or leverage them as you seek a new one.

You can choose your electives so as to focus on either epidemiology or randomized controlled trials.

Need to brush up on your stats? Enrollees in the certificate program can take our intro stats course, offered monthly, at no charge. We offer rolling admissions year-round so you can start right away.

See you in class!