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This is a free in-person seminar in Tokyo for manufacturing industry engineers, using the statistical analysis software JMP. In this seminar, we will cover practical methods for quality control and factor analysis, introducing a data-driven approach to problem-solving. We will explain analytical approaches that can be utilized in manufacturing settings, from monitoring quality to investigating causes when problems arise, with demonstrations included. 【Target Audience】 - Quality control personnel in the manufacturing industry - Production technology and process improvement personnel - Those who want to utilize process and quality data - Those who feel challenged by factor analysis when problems occur 【What You Will Learn in This Seminar】 - How to monitor process and quality anomalies - In what situations control charts can be utilized - Methods for identifying key factors among numerous process variables - Thinking strategies to narrow down causes based on data ▼Details & Registration https://www.jmp.com/ja/events/seminars/discovery-seminar-series/2026/12-09
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Aren't you just using the data obtained from experiments and prototypes to create figures for your reports? In this seminar, we will confirm the features and basic operations of JMP's Graph Builder, and using data typically acquired in research, development, and design departments as examples, we will create commonly used graphs such as mean values with error bars, box plots, and scatter plots with regression lines. Furthermore, we will demonstrate how to utilize features that are difficult to achieve with spreadsheets like Microsoft Excel, such as group splitting, local data filters, and column switchers, to facilitate new discoveries by switching conditions. We will also explain the steps for customizing graphs and producing high-quality outputs. The content is designed to be understandable even for those who have never used JMP or are beginners. Details & Registration https://www.jmp.com/ja/events/live-webinars/non-series/2026/10-29-graph-builder
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This is a free in-person seminar held in Nagoya for manufacturing industry engineers in the Chubu region, using the statistical analysis software JMP. In this seminar, we will cover practical methods for quality control and factor analysis, introducing data-driven problem-solving approaches. We will explain analytical approaches that can be utilized in manufacturing settings, from monitoring quality to investigating causes when problems arise, with demonstrations included. 【Target Audience】 - Quality control personnel in the manufacturing industry - Production technology and process improvement personnel - Those who want to utilize process and quality data - Those who feel challenges in factor analysis when problems occur 【What You Will Learn in This Seminar】 - How to monitor process and quality anomalies - In what situations control charts can be utilized - Methods to identify key factors among numerous process variables - Thinking approaches to narrow down causes based on data ▼Details & Registration https://www.jmp.com/ja/events/seminars/discovery-seminar-series/2026/10-30
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This is a free seminar on JMP aimed at engineers in the manufacturing industry who understand the need for data analysis but lack available tools, and those who want to utilize statistics but cannot write code. It is an online format where participants can operate JMP on their own while watching a demonstration by the instructor, making it easy for first-time attendees to participate. 【Overview】 JMP is utilized across various industries and job types, with users coming from diverse backgrounds. The "Getting Started: JMP Experience Seminar" is structured to help participants understand JMP's usability and rich features, regardless of their industry, job type, or background. 【Recommended for】 - Those who recognize the necessity of data analysis but are troubled by the absence of optimal tools. - Those who want to verify whether members of their department can effectively use JMP. - Those who are aware of the name JMP but do not know what kind of tool it is. For those who do not have JMP, participation is possible using a 30-day free trial version. Trial: https://www.jmp.com/ja/download-jmp-free-trial
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JMP Pro is software that adds advanced analytical capabilities to JMP. The statistical analysis software JMP Pro, provided by SAS, is designed for scientists and engineers, and it includes many advanced techniques in addition to the excellent features familiar in JMP, such as visual data access, data manipulation, interactive operation methods, rich analytical functions, and scalability. Furthermore, JMP Pro offers a variety of advanced tools. It includes predictive modeling with validation features using numerous different techniques, state-of-the-art modeling methods, model comparison and averaging, advanced multivariate analysis, reliability block diagrams, coverage arrays, mixed models, uplift models, and statistical methods utilizing advanced calculators. With JMP Pro, you can perform advanced and diverse analyses, helping to remove barriers that hinder statistical discoveries and uncover clues hidden in the data. This allows you to more quickly find breakthroughs to problems and anticipate and control the future.
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JMP, developed by SAS, has been used as a tool for statistical discovery by scientists, engineers, and people in various industries and government sectors engaged in data exploration. JMP is a desktop software that combines dynamic data visualization with powerful statistical capabilities, processing data in-memory. With interactive and visual JMP, it is possible to gain insights that cannot be obtained from mere tables of numbers or static graphs. In JMP, graphs, statistics, and data are all linked. This allows for deeper exploration of thoughts and leads to groundbreaking discoveries. JMP enables users to perform analyses in succession while staying in the flow of analysis. You can explore while maintaining the flow of the analysis, and there is no need to re-execute commands when new questions arise. Using JMP significantly improves the efficiency of data analysis, making it easy to handle everyday tasks and complex statistical problems, while also effectively communicating the results of the analysis.
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