JMP

This is an introductory seminar to learn the basic operations of JMP's "Design of Experiments (DOE)." Anyone can participate, regardless of industry, job type, or experience with design of experiments. You will be able to experience the basic operations and functions of design of experiments while actually operating JMP on your own device, following the text (PDF version) and the instructor's explanations. [Content] The seminar will focus on explaining the procedures for creating experimental designs, entering experimental data, fitting models, and visualizing results (such as contour plots and response surfaces) using JMP. JMP's "Custom Design" is a flexible experimental design creation feature that accommodates screening experiments and optimization experiments. It allows for the combination of various types of factors, such as continuous factors, categorical factors, and mixture factors, and can also create experimental designs with constraints set on the factors. In this seminar, we will introduce these features and how to utilize them while actually creating experimental designs using "Custom Design." If you do not have JMP, you can participate using a 30-day free trial version. Trial: https://www.jmp.com/ja/download-jmp-free-trial

Many of the data handled by companies, such as sales, inventory levels, and sensor measurements, are recorded over time as "time series data." The situations in which such data is handled have been increasing in recent years. In this seminar, we will use real time series data as a subject to explain everything from visualization of time series data to quantification of factors through regression, forecasting using time series models, and What-if analysis, with demonstrations included. In regression, it is important to pay attention to the points where previous and subsequent values are related (autocorrelation), but by using time series models that leverage this characteristic, accurate predictions can be made. You will gain tips unique to JMP on how to handle this data and insights on how to utilize business data for forecasting and decision-making. 【Main Content】 Using real time series data as a subject, we will convey the following items with JMP demonstrations: - The benefits and important considerations of analyzing time series data with JMP (date processing, lag functions, etc.) - Visualization of time series data (considerations using line graphs and smoothing lines) - Quantification of factors through regression models - Future forecasting and What-if analysis using time series models (ARIMA, smoothing) - Features and differentiation of JMP's platform for "Time Series Analysis" and "Time Series Forecasting"

To those involved in manufacturing research and technology development, such as semiconductor, chemical, life sciences, and consumer goods sectors, as well as manufacturing and quality control personnel. If you feel the limitations of Excel, start with this seminar. This is a free seminar on JMP aimed at manufacturing engineers who recognize the need for data analysis but lack usable tools, or who want to utilize statistics but cannot write code. We will focus on preprocessing, visualization, and basic analysis, which are the starting points for data analysis, and we will clearly introduce practical applications in a demo format. You will learn points to efficiently shape data and create graphs, allowing you to quickly notice trends and relationships in the data. 【Target Audience】 - Individuals involved in manufacturing, such as semiconductor, chemical, life sciences, and consumer goods sectors - Engineers and researchers interested in data exploration and visualization - Those who want to start working on data analysis in their business - Those considering the introduction of JMP ▼Details & Registration https://www.jmp.com/ja/events/seminars/discovery-seminar-series/2026/07-24