The Minitab Essentials course is designed to provide learners with comprehensive online training in utilizing Minitab, a statistical software package. This course equips participants with the foundational skills necessary to perform data analysis and solve business problems effectively. Through Minitab training, learners can understand how to import and format data, create various charts such as bar charts, histograms, and boxplots, and use statistical tools like Pareto charts and scatterplots.
Each module focuses on a specific topic, starting from basics like data handling to more complex analyses including t-tests, proportion tests, and ANOVA. The course also delves into understanding relationships between variables using scatterplots, correlation, and regression analysis, ensuring that participants can make data-driven decisions.
By mastering these skills, learners will be prepared to contribute to quality improvement initiatives and business analytics projects. Minitab online training is essential for professionals seeking to enhance their proficiency in statistical analysis and data interpretation through practical, hands-on experience with Minitab training.
This is a Rare Course and it can be take up to 3 weeks to arrange the training.
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♱ Excluding VAT/GST
Classroom Training price is on request
♱ Excluding VAT/GST
Classroom Training price is on request
Certainly! To ensure that participants are well-prepared and can derive maximum benefit from the Minitab Essentials course, the following are the minimum prerequisites:
No prior experience with Minitab software is required, as the course will cover the essentials from the ground up.
The Minitab Essentials course is designed for professionals seeking to master statistical analysis and process improvement using Minitab software.
Target audience for the Minitab Essentials course:
The Minitab Essentials course equips learners with foundational skills in statistical analysis and data interpretation using Minitab software, covering data visualization, inferential statistics, and hypothesis testing.