"Multivariate Statistical Analysis Training Seminar" to be held on November 28th and 29th.
A practical short-term intensive seminar that clearly explains the fundamentals and principles of multivariate analysis, including analysis using real data.
On November 28 and 29, 2024, we will hold a seminar titled "Multivariate Statistical Analysis Training Course <Level 1> Theory and Practice," organized by our company. In this course, participants will learn how to quickly interpret the relationships in complex data and how to apply the latest multivariate analysis techniques sought after in industry and research. The course will cover topics such as multivariate statistical analysis, spectral analysis, analysis of perceptual and sensory data, and PAT/QbD, with a focus on practical content and minimal mathematical explanations. Upon completion of this course, participants will be able to smoothly begin optimizing product processes using multivariate analysis, conducting difference analysis and classification, and making predictive quantifications. [Seminar Content] ■ What is multivariate analysis ■ Principal Component Analysis: PCA, Outliers ■ Data checking ■ Regression analysis ■ Validation ■ Prediction of unknown samples ■ Outliers in regression analysis ■ Variable selection, etc. *For more details, please refer to the information materials available for "PDF download." Feel free to contact us with any inquiries.
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【Event Overview】 Date: November 28 (Thursday) and 29 (Friday), 2024 Venue: Kyoto City Growth Industry Creation Center (ACT Kyoto) (105 Jibu-cho, Fushimi-ku, Kyoto City) Capacity: 25 people Application Deadline: November 20 (Wednesday), 2024 *For more details, please refer to the materials. Feel free to contact us with any inquiries.
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1. Sales business of scientific and physical instruments 2. Development and sales business of analysis software related to manufacturing processes, etc. 3. Development and business related to the embedding of analysis software related to manufacturing processes, etc. 4. Consulting business 5. All businesses incidental or related to the above items