Business Analytics school training courses in Allentown, PA (public, in-house or online)

Upon completion of this course, the student will understand how to perform quantitative procedures used to predict future estimates by analyzing historical data. Forecasting is a key decision-making element in for managers as well as R&D personnel.

Course Description
In this course, participants learn how to apply forecasting theories to practical problems such as planning and decision-making. Participants get an overview of the elements of forecasting and the building blocks of examin...

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Upon completion of this course, the student will be able to use statistical experimentation to plan experiments for obtaining dependable information about variables, including any noise factors, to make optimized R&D decisions.

Course Description
In this course, participants will learn to apply Taguchi’s robustness concepts and techniques such as signal-to-noise ratio, as well as control and noise factors. Participants will use the Fundamental Principle to improve the quality of a prod...

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Upon completion of this course, the student will be able to perform basic and advanced experimentation to understand the relationships between multiple inputs and one or more outputs of a system.

Course Description
Design of Experiments is introduced in this course using a simplified and hands-on approach. Participants design, conduct, analyze, and interpret several experiments. Full factorial, fractional factorial, and Plackett-Burman designs will be conducted by hand at first then s...

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Upon completion of this course, the student will understand how to generate samples and draw valid conclusions by applying rigorous statistical analysis methods to find and/or confirm research questions. These questions are then transformed into statistical hypotheses that can be tested and answered.

Course Description
In this course, students learn the concepts of setting up several types of statistical tests to verify a hypothesis for population parameters based on sample statistics....

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Upon completion of this course, the student will understand research methods, summary statistics, graphical data analysis, common distributions, sampling and confidence, measurement systems analysis, time-based analysis and simple correlation and regression.

Course Description
This course presents the use of descriptive statistical tools and methods to enhance decision making. Participants define, collect, analyze, and interpret both discrete and continuous data. Topics include: data c...

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