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Statistics training courses and schools

School: Vanderbilt University Owen Graduate School of Management
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Statistics for Management Decisions
Course Format: Classroom
Introduces statistical methods for improving decision-making under uncertainty. Topics include probability, random variables, probability distributions, statistical inference, correlation, regression, time series analysis, and forecasting techniques.
 

Managerial Statistics
Course Format: Classroom
Studies principles of statistical analysis and inference, including descriptive statistics, probability theory, statistical estimation, tests of hypotheses, analysis of variance, and regression and correlation analysis.
 

School: University of Alabama College of Continuing Studies
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Statistical Process Control Workshop
Course Format: Classroom
Participants will study the 6 M’s of variation and the means to eliminate and/or abate them. The class will learn and develop attibute and variable control charts. Other tools that will be discussed are: cause and effects diagrams, simple linear regression analysis, Analysis of Variance (ANOVA), and pre-control. Emphasis will be placed on when, why, and which charts to use as well as how t...
 

Statistical Methods for Quality Improvement
Course Format: Classroom
Course covers: Role of statistical methods in management of production process Pareto analysis Cause and Effect diagrams Histograms, Central Tendency and Dispersion, Normal Distribution Scatter Diagrams, Correlation Coefficients, Linear Regression Control Charts Additivity of variances Statistics Hypothesis tests on population means
 

School: Element K
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Statistical Process Control and Variation
Course Format: Online
Data can tell you how well your process is doing or how badly. Your process may have too much variation in it because of special causes. SPC can tell you when to investigate these causes. SPC control charts will help you and your team decide if the variation comes from special causes or common causes. Objectives: In this course you will: identify the purpose of and advantages of using SP...
 

School: Colorado State University Division of Continuing Education
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Statistical Theory and Methods (Certificate)
Course Format: Online
This certificate offers graduate-level training in the theory and methods of statistics. Program Requirements The program requires a strong math background including three semesters of college-level calculus, and one semester of linear algebra or matrix theory. Students must earn an overall minimum 3.0 GPA in the program. Courses already taken by distance through Department of Statistics...
 

Applied Statistics and Data Analysis (Certificate)
Course Format: Online
This comprehensive training program in applied statistics and data analysis uses modern software and is intended for professionals and graduate students who want a short-term program to strengthen their statistical skills. Program Requirements The program requires a moderate math background including two semesters of college-level calculus. Students must earn a minimum 2.75 GPA overall with...
 

School: BMG University
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Statistical Process Control (SPC)
Course Format: Online
From the history of SPC to the difference between common cause and special cause variation, this course describes how to use SPC to measure and control process variation. Run Charts and Control Charts are illustrated and defined, and the rules for interpreting the charts are described in detail. Finally, the course discusses how Control Charts can be used to assess variation and take action to ...
 

Introduction to Statistics - Level 2
Course Format: Online
The ability to understand and use statistical data is crucial to the success of any Lean Six Sigma project. This module introduces basic statistical concepts including populations and sampling, measures of central tendency, and measures of variation.
 

School: Bellevue Community College
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Statistical Analysis
Course Format: Classroom
Surveys techniques used in decision-making and research. Topics include descriptive and inferential statistics, probability, central tendency, variability, normal and t-distributions, hypothesis testing, and regression. Material has applications in business, health care, etc.
 

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