In this 2-day foundational course, you will learn how to minimize the time required for data analysis by using Minitab. Our experts will teach you how to import data, develop sound statistical approaches to exploring data, create and interpret compelling graphs, and export results.

You will practice analyzing a variety of real-world data sets to learn how to align your applications with the right statistical tool, and you’ll interpret statistical output to reveal problems with a process for evidence of an improvement opportunity. Plus, learn the fundamentals of important statistical concepts, such as hypothesis testing and confidence intervals, and how to uncover and describe relationships between variables with statistical modeling tools.

This course places a strong emphasis on making sound decisions based upon the practical application of statistical techniques commonly found in manufacturing, engineering, and research and development endeavors.

Topics Include:

Importing and Formatting Data

Bar Charts

Histograms

Boxplots

Pareto Charts

Scatterplots

Tables and Chi-Square Analysis

Measures of Location and Variation

t-Tests

Proportion Tests

Tests for Equal Variance

Power and Sample Size

Correlation

Simple Linear and Multiple Regression

One-Way ANOVA

Multi-Variable ANOVA

Prerequisites: None

In this 2-day foundational course, you will learn to minimize the time required for data analysis with Minitab. We will cover how to import data into Minitab, develop sound statistical approaches to explore data, create and interpret compelling graphs, and export results. You will analyze a variety of real-world data sets to learn how to align your applications with the right statistical tool and interpret statistical output to reveal problems with a process or evidence of an improvement. Learn the fundamentals of important statistical concepts, such as hypothesis testing and confidence intervals, and how to uncover and describe relationships between variables with statistical modeling tools.

This course places a strong emphasis on making sound decisions based upon the practical application of statistical techniques commonly used in business, transactional, and services processes.

Topics Include:

Importing and Formatting Data

Bar Charts

Histograms

Boxplots

Pareto Charts

Scatterplots

Tables and Chi-Square Analysis

Measures of Location and Variation

t-Tests

Proportion Tests

Tests for Equal Variance

Power and Sample Size

Correlation

Simple Linear and Multiple Regression

One-Way ANOVA

Prerequisites: None

In this 2-day foundational course, you will learn how to efficiently perform data analysis by using Minitab! With Minitab, you can import data, develop sound statistical approaches to explore data, create and interpret compelling graphs, and export results. This course teaches you how to analyze a variety of real-world medical device data sets, which will help you learn how to align your applications with the right statistical tool and interpret statistical output to reveal problems with a process or evidence of an improvement. Learn the fundamentals of important statistical concepts, such as hypothesis testing and confidence intervals, and how to uncover and describe relationships between variables with statistical modeling tools.

This course places a strong emphasis on making sound decisions based upon the practical application of statistical techniques commonly found in the medical device industry.

Topics include:

Importing and Formatting Data

Bar Charts

Histograms

Boxplots

Pareto Charts

Scatterplots

Tables and Chi-Square Analysis

Measures of Location and Variation

t-Tests

Proportion Tests

Tests for Equal Variance

Equivalence tests

Power and Sample Size

Correlation

Simple Linear and Multiple Regression

One-Way ANOVA

Multi-Variable ANOVA

Prerequisites:  None

In this 2-day foundational course, you will learn to minimize the time required for data analysis by using Minitab. With Minitab, you will practice importing data, developing sound statistical approaches to explore data, creating and interpreting compelling graphs, and finally, exporting results. By analyzing a variety of real-world data sets, you will learn how to align your applications with the right statistical tool and interpret statistical output to reveal problems with a process or evidence of an improvement. Learn the fundamentals of important statistical concepts, such as hypothesis testing and confidence intervals, and how to uncover and describe relationships between variables with statistical modeling tools.

This course places a strong emphasis on making sound decisions based upon the practical application of statistical techniques commonly used in healthcare.

Topics Include:

Importing and Formatting Data

Bar Charts

Histograms

Boxplots

Pareto Charts

Scatterplots

Tables and Chi-Square Analysis

Measures of Location and Variation

t-Tests

Proportion Tests

Tests for Equal Variance

Power and Sample Size

Correlation

Simple Linear and Multiple Regression

One-Way ANOVA

Prerequisites: None

In this 2-day foundational course, you will learn to minimize the time required for data analysis by using Minitab! With Minitab, you will practice importing data, developing sound statistical approaches to explore data, creating and interpreting compelling graphs, and finally, exporting results. Discover how to analyze a variety of real-world pharmaceutical data sets to practice aligning your applications with the right statistical tool and interpreting statistical output to reveal problems with a process or evidence of an improvement. Learn the fundamentals of important statistical concepts, such as hypothesis testing and confidence intervals, and how to uncover and describe relationships between variables with statistical modeling tools.

This course places a strong emphasis on making sound decisions based upon the practical application of statistical techniques commonly found in the pharmaceutical industry.

Topics include:

Importing and Formatting Data

Bar Charts

Histograms

Boxplots

Pareto Charts

Scatterplots

Tables and Chi-Square Analysis

Measures of Location and Variation

t-Tests

Proportion Tests

Tests for Equal Variance

Equivalence tests

Power and Sample Size

Correlation

Simple Linear and Multiple Regression

One-Way ANOVA

Multi-Variable ANOVA

Prerequisites: None