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As a practitioner, I will perfectly summarize ChatGPT's advanced data analysis, which is the most useful function. ChatGPT can be used for everyday conversations, content creation, report writing, etc., but I am sure that you will get the most amazing results when you apply it to data analysis. When you try to analyze data with ChatGPT, many people find it difficult, and it is also difficult to find and learn utilization information. For those people, I have summarized all the cases and tips that I have taught and used so far. This one video really concludes ChatGPT Advanced Data Analysis (Code Interpreter). ???? Get practice materials: https://www.aiground.co.kr/anyone-can... (*This site is the blog of AI Ground, a company I run. You can leave your email address in this blog post and download the practice materials covered in this video.) ???????????? References Stackers CEO Lee Han-jun Brunch: https://brunch.co.kr/@junbd AI freelancer Sam Hottman YouTube: / @ai.sam_hottman ???????????? For inquiries about Jang PM AI corporate lectures: https://www.aiground.co.kr/about/ (*AI Ground is an AI corporate education company I founded. We focus on teaching how to apply AI to practice.) 00:00 Opening 01:04 Data preprocessing and Korean patch 08:41 Data visualization 12:40 Data collection automation 14:59 E-commerce purchase data analysis and customer segmentation 26:20 Google Analytics user Data Analysis 32:55 Stock Price Data Analysis 38:22 Job Satisfaction Factor Analysis through Correlation Analysis 44:22 Resignation Prediction Model through Regression Analysis 49:40 Customer Reviews/Review Text Analysis 57:59 Sample Data, Test Data Creation 59:43 Simple Website Crawling 1:03:15 Conclusion