Minitab online utbildning.
Minitab’s anpassade utbildningar hjälper både nybörjare och vana användare mot nya höjder!
Kom igång med hjälp av Mintiab’s online utbildningar, där våra expertstatistiker guidar dig i de insikter data genererar och hur du därmed kan förbättra kvaliteten på dina produkter och tjänster på ett enkelt, roligt och tidseffektivt sätt.
Kontakta oss gärna vid frågor eller för att få ta del av mer information gällande utbildning, våra produkter sam priser.
Vill du komma igång med Minitabs produkter eller fördjupa dig i något av Minitabs verktyg?
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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
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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
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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
MINITAB STATISTICAL SOFTWARE