Fukuoka CampusAssociate Professor Kamezawa gave a speech at the business seminar

On Wednesday, January 29th, February 5th, February 12th, and March 5th, 2025, Associate Professor Hidemi Kamezawa of the Department Department of Radiological Technology Faculty of Fukuoka Medical Technology, gave a lecture as Senior Assistant Professor at the business seminar "Data Science for Improving Resilience [Basics]" hosted by the Omuta City Innovation Promotion Council.
The purpose of this seminar is to learn how to use data science to come up with evidence-based solutions to social or management issues. It also aims to be a place where business people and students can learn together and share knowledge and experience in order to increase the flexibility and flexibility necessary for innovation in corporate activities.
The seminar was held over four sessions, with a total of 20 participants, including corporate employees, managers, and people with an interest in data science. After the seminars, participants exchanged opinions with each other, helping to foster innovators for the digital society of the future.

Teikyo University will continue to work to actively contribute to the local community, including by providing specialized knowledge.

program

January 29, 2025 (Wednesday) [1st session] Theme: "Learn the overview of data science"
Changes occurring in society, the skills and knowledge required for data science, the data science cycle and how to solve problems

February 5, 2025 (Wednesday) [2nd session] Theme: "Learning the concepts of analysis and appointment"
Analysis and its methods, visualization and representative value analysis of one variable, relationship between two variables, and business comparisons

Wednesday, February 12, 2025 [3rd session] Theme: "Learn how to report predictions and analysis results"
Predictive models, model evaluation, interpretation of analysis results, machine learning

Wednesday, March 5, 2025 [4th session] Theme: "Learn how to practice data science"
Learn about the important aspects of data science through group exercises using real data

For more information about Associate Professor Kamezawa, click here
Click here for more information about the business seminar

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