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You rely on Minitab Statistical Software for trusted analyses and valuable insights to help you confidently make better decisions, but how do you bring those insights to life and really drive impact at your organization? The right visuals and accessibility can make all the difference. Discover how the latest release of Minitab Statistical Software can help you enhance the impact of your work in your business by attending our webinar. During the webinar, we will showcase the new visualizations available in Minitab that can strengthen your decisions and influence, make your insights easy-to-share, and then even easier to understand. We will also review the latest software features, statistical updates, including Classification and Regression Trees (CART®) and Validation, and how faster collaboration and new levels of productivity can be achieved with Minitab now on the cloud. (60 minutes)
A control chart indicates when your process is out of control and helps you identify the presence of special-cause variation. When special-cause variation is present, your process is not stable and corrective action is necessary. In this webinar, you will learn how to quickly and easily create Control Charts in Minitab Statistical Software. (60 minutes)
Searching for simple solutions to achieve the greatest impact with your work? Minitab Workspace enables you to move work forward with powerful visual tools, process maps, brainstorming diagrams and forms. All in one intuitive interface right at your fingertips. Our tools help form processes and identify opportunities ultimately making problems easier to solve. (60 minutes)
Minitab includes several measurement systems analyses to help you determine how much of the variation in your process is from your measurement system. During the webinar, we will demonstrate how to create Gage R & R Study Worksheet, analyze the data using Gage R & R Study (Crossed), and interpret Gage R & R results using Minitab19 Statistical Software. (60 minutes)
Supervised learning is the machine learning task of developing predictive models with input and output data. Supervised learning can be further grouped into regression and classification problems. A regression problem is when the output variable is a real value or measurement, such as “height” or “distance” or “weight”. (60 minutes)
Correlation is useful for describing simple relationship among data. Once you’ve obtained a significant correlation, you can go into regression model (statistical). In regression, you can model the relationship between an output variable (response) and one or more input variables (factors). Regression will help you predict the values of a response variable based on the values of the important factors. (60 minutes)
Searching for simple solutions to achieve the greatest impact with your work? Minitab Workspace enables you to move work forward with powerful visual tools, process maps, brainstorming diagrams and forms. All in one intuitive interface right at your finger tips. Our tools help form processes and identify opportunities ultimately making problems easier to solve. We are excited to share this new product with you and demonstrate how Minitab Workspace will lead you to discover better business opportunities! (60 minutes)
By attending this webinar, you will learn how to use Minitab Macros to automate, customize and extend the functionality of Minitab analyses. (60 minutes)
Supervised learning is the machine learning task of developing predictive models with input and output data. Supervised learning can be further grouped into regression and classification problems. A classification problem is when the output is a category, such as “yellow” or “green” or “accept” and “reject”. (60 minutes)
Over half of the companies we have spoken to globally rate Machine Learning as one of their top challenges impacting business in the next 2-3 years, and many are not sure where to start. You might not be as far behind as you think though. Popular machine learning tools are actually an extension of the modeling tools you already know. We invite you to take a look of how to start today. (60 minutes)
More reliable, easier to use and deploy, and equipped with superior reporting tools, Salford Predictive Modeler® outperforms data platforms and open source packages in head-to-head tests. Its time performance in the market provides executives and regulators with confidence in its predictive capabilities.
In this webinar we will show how you can leverage powerful Machine Learning algorithms and predictive modelling techniques to unlock the value of your data for improvements in non-manufacturing industries. (60 minutes)
If error reduction is warranted within manufacturing industries, it should be considered even more crucial to service quality such as financial areas, government sectors, and the delivery of healthcare.
During the webinar, we will show you how to use Graphical Analysis, Chi-Square test, Control Chart and Attribute Agreement Analysis in Minitab 19 to analyze data and improve service quality of your business. (60 minutes)
Learn how to quickly and easily accomplish common tasks in Minitab19 Statistical Software, whether you are new to the software or have used it for years. (60 minutes)
You can use a capability analysis to determine whether a process is capable of producing output that meets customer requirements, when the process is in statistical control. During the webinar, we will demonstrate how to analyze the data using process capability in Minitab19 and how to interpret the process capability analysis results. (60 minutes)
Companion by Minitab is another product offered by Minitab for managing continuous improvement program. During the webinar, we will cover the features and overview of basic but useful tools in Companion, as well as how it helps in streamlining quality improvement initiative. (60 minutes)
Join us to learn how to improve your data literacy and expertise using our latest version of Minitab Statistical Software. Through our live webinar, we’ll help you discover new and improved ways to find trusted insights and learn to communicate them better, faster and easier.
You’ll also learn how Classification and Regression Trees (CART®) will expand your predictive analytics capabilities to better enable you to proactively make decisions. (60 minutes)
Design of Experiment (DOE) is a powerful technique for process optimization that has been widely used in all types of industry. In DOE, we can separate important and unimportant factors, identify the relationships between factors and responses and then determine the optimal factor settings. In short, DOE helps us understanding the process rapidly. (60 minutes)
Learn how to quickly and easily create Control Charts in Minitab19 Statistical Software, whether you are new to the software or have used it for years. (60 minutes)