Data Analysis Learning through 'Trial & Error' for Engineers: Practical Exploration of Factors and Building Predictive Models
This session is aimed at engineers in the manufacturing industry, focusing on data utilization, and will explain practical approaches to factor exploration and predictive model building using JMP products. Analysis does not yield optimal results in one go; it is important to enhance accuracy through repeated trial and error in data preparation and model building. In particular, the quality of data preparation, such as preprocessing and feature creation, significantly influences the results, and JMP allows for efficient progress while visualizing the process. Using publicly available data for model building, we will introduce a series of processes from preparation, including visualization, preprocessing, and feature creation, to factor exploration through correlation and regression analysis, predictive model building (such as neural networks and random forests), and extraction of important factors, all through trial and error.
Program:
1) What to do before the model: Key points of data preparation and trial & error using JMP
2) How to proceed with factor exploration and predictive model building without making it a black box
▼Details & Registration
https://www.jmp.com/ja/events/live-webinars/non-series/2026/12-15-factor-exploration

| Date and time | Tuesday, Dec 15, 2026 02:00 PM ~ 03:30 PM It is an online seminar using Zoom. |
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| Entry fee | Free Advance registration is required. |
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