Statistical Techniques with MINITAB

Hypothesis Testing

This course offers a practical approach to hypothesis testing using MINITAB software. You will learn to apply essential statistical techniques for data analysis, such as Test for Equal Variance, 1-sample T-test, 2-sample T-test, ANOVA, Mood’s Median test, Chi-Square, Correlation, and Regression. The course is ideal for professionals looking to enhance their data analysis skills and make informed decisions based on statistical evidence.

Statistical Techniques with MINITAB – Introductory Level

This introductory course provides you with the fundamental concepts of statistics using MINITAB software. You will learn essential topics such as inferential statistics, basic charting, and graphical data analysis. Additionally, the course covers Statistical Process Control (SPC) and Measurement Systems Analysis (MSA), preparing you to apply statistical techniques for process improvement and data-driven decision-making.

Statistical Techniques with MINITAB – Advanced Level

This course provides the necessary tools for complex data analysis. In addition to the fundamentals of inferential statistics and Statistical Process Control (SPC), you will learn advanced techniques such as Multi-Vari Chart analysis and hypothesis testing. This course is ideal for professionals looking to deepen their data analysis skills and apply advanced statistical techniques for process optimization and strategic decision-making.

DOE – Design of Experiments – Introductory Level

This course introduces you to the concept of Design of Experiments (DOE) using MINITAB, providing the tools needed for planning and analyzing experiments. You will learn how to optimize processes, identify significant factors, and interpret experimental results to make informed decisions and improve performance across various fields. Ideal for professionals seeking to apply advanced statistical methods in experimental design.

DOE – Design of Experiments – Advanced Level

This course covers Design of Experiments (DOE) and further explores Response Surface Methodology (RSM) using MINITAB, helping you optimize processes and discover the best conditions for ideal results. You will learn how to plan efficient experiments, analyze factor interactions, and use statistical models to enhance process performance. The course is ideal for professionals looking to apply advanced analysis and optimization methods across various industries.