Data Analysis in 30 Minutes | What is Causal Exploration? Use Cases and Implementation Steps [9/7 (Thu)]

The analytical method "Causal Exploration" visualizes the relationship between causes and effects in data. In the manufacturing industry, it is used for analyzing the causes of equipment failures, while in the marketing sector, it helps uncover causal relationships from survey results, creating new insights in various scenarios. If you want to learn the basics or wish to implement it in your work or research, please join us!
■ Recommended for:
- Production and quality management personnel who want to investigate the causes of equipment failures.
- Those in the marketing industry who want to visualize the relationships between survey and purchasing data.
- Data analysts and researchers who want to uncover causal relationships from big data.
■ What you will learn in this seminar:
(1) Basic knowledge of Causal Exploration
"Causal Exploration" visualizes the invisible relationships between causes and effects from big data. We will first explain the fundamentals of data analysis methods that do not rely on human experience or intuition.
(2) Case studies utilizing Causal Exploration
We will introduce actual case studies where Causal Exploration has been implemented in business.
(3) Steps to implementation
What kind of data and how much is needed to identify causes with Causal Exploration? We will explain the analysis methods, how to interpret the results, and the steps for implementation towards practical use.
![Data Analysis in 30 Minutes | What is Causal Exploration? Use Cases and Implementation Steps [9/7 (Thu)]](https://image.mono.ipros.com/public/news/image/1/f77/130015/IPROS94701543708582516597.png?w=280&h=280)
Date and time | Thursday, Sep 07, 2023 12:00 PM ~ 12:30 PM |
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Entry fee | Free |
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