Statistics school training courses in Columbus, OH (public, in-house or online)

The purpose of this course is to prepare students in mathematical, probability, and statistical concepts for their upcoming studies in quantitative methods. The course is intended for those students who have not had any prior statistical education, although students who have had statistics should also consider taking the course as a refresher.

This course is designed to provide students with knowledge and skills in application, evaluation, analysis, and interpretation of biostatistical data used to inform public health programs, policy, and practice. Students learn to complete statistical analysis using both qualitative and quantitative methodological approaches commonly used in public health practice.

This course is an introduction to descriptive and inferential statistics, including correlation and regression, hypothesis testing, estimation, and elementary probability. Students learn to analyze data using PC-based statistical software. No previous knowledge of statistics is assumed.

Issues and techniques of statistical analysis relevant to quantitative sociological research e.g. elementary probability, measurements of central tendency and dispersion, measures of relationships including linear regression and correlation, inferential and nonparametric statistics. The course includes an introduction to computer-based statistical analysis.

Numbers are vitally important to all types of business decision-making. From budget projections to inventory tracking, business leaders rely on numbers to help them make sound business decisions.

How can you make these numbers meaningful to you in your day-to-day planning and decision-making? Learn how to apply and interpret numbers in real-world business ideas in our business statistics course.