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Training Dates: Feb. 11-12, 25-26; Mar. 17-18, 31; and Apr. 1, 21-22
Participants in this 10-day duration course will learn the theory and application of tools and methods for successful completion of improvement projects in a manufacturing business environment. Tools for the application of the Six Sigma DMAIC (Define-Measure-Analyze-Improve-Control) improvement strategy will be introduced with hands-on exercises and tutorials to ensure rapid learning and knowledge retention. The training style is tell-show-do, with a strong emphasis on individual hands-on exercises and team-based activities. Training workbooks are comprehensive, self-contained, and serve as excellent references for learning and review. Classroom training sessions are interspersed with periods of work on actual company-supported improvement projects.
The key to improving process performance is the ability to understand, control and reduce variation. In this workshop, participants will learn how the monitoring and analysis tools of SPC can be used to achieve that goal. Going beyond the mere mechanics of SPC, this workshop will also guide participants through the steps needed to define a process and determine proper measurement techniques so that the right control chart is used in the right place at the right time.Find out more
Effective team leadership is a prerequisite for success in today’s high performance organizations. In this workshop, participants will learn how to successfully launch and lead teams. A strong emphasis is placed on learning and practicing the skills necessary to facilitate team development and manage change to achieve optimal performance and more creative solutions.Find out more
We're pleased to offer a new class! Register to take advantage of our introductory rates! Learn and improve your Python programming skills with real practical Machine Learning/Artificial Intelligence projects. The following Machine Learning project workflow will be covered: project documentation, team meeting review (Data Engineers, Data Scientists, Subject Matter Experts, Managers, IT Developers and Systems Administrators, etc.), data load, data profiling (data statistical analysis and data visualization), data preprocessing, data profiling, team meeting review, labels and features selection, features engineering (a data science art!), select and apply classic and modern algorithms, select best features and best algorithms, team meeting review, model deployment and unit test, model updates methodology and unit test, final project documentation, final team meeting review, etc. A very well-organized and real production Python code will be provided as well.Find out more
As the Project Manager, you’ve been asked to deliver the project status to senior management with less than 20 minutes to prepare. Part of your update includes delivering the bad news that manufacturing is having quality issues and won’t make the deadlines. What information do you need to pull together? What is your desired (presentation) outcome? How do you deliver bad news and maintain your composure? It’s imperative that your delivery is clear, logical, and addresses the needs of your audience. Your team is counting on you, and your reputation is at stake.Find out more