This tutorial provides a comprehensive guide on using Chat GPT for DEA analytics, covering setup, basic and advanced data analysis techniques, and addressing limitations and security concerns. It includes practical examples and exercises to enhance learning, making it suitable for both beginners and experienced users.

What is the primary focus of the first section of the tutorial?

• Data visualization methods

• Machine Learning applications

• Introduction to Chat GPT and its basic setup

• Advanced Data Analysis techniques

What is the benefit of using custom instructions in Chat GPT?

• To change the language of the interface

• To automate context and task instructions

• To access more plugins

• To increase the speed of responses

Which feature of Chat GPT allows you to write and read code without coding yourself?

• Basic Prompting

• Image Analysis

• Advanced Data Analysis

• Graph Reading

What is a unique use case of Chat GPT's image analysis capability?

• Analyzing cute pictures

• Creating animations

• Interpreting data models

• Writing academic papers

How does Chat GPT help in understanding complex data visualizations?

• By generating new data

• By providing a detailed textual explanation

• By simplifying the data

• By creating new visualizations

What is a key factor in obtaining optimal results from ChatGPT for data analysis?

• Using the latest version of ChatGPT

• Providing detailed context

• Limiting the character count

• Using only numerical data

Which file types can be imported into ChatGPT for data analysis?

• Only CSV and Excel

• CSV, Excel, and JSON

• CSV, Excel, JSON, and more

• Only JSON and HTML

What is the purpose of exploratory data analysis in ChatGPT?

• To generate random data

• To clean the data

• To visualize descriptive statistics

• To predict future trends

Which machine learning model was recommended for predicting salary in the tutorial?

• Linear Regression

• Gradient Boosting

• Random Forest

• Support Vector Machine

What is a limitation of ChatGPT's Advanced Data Analysis feature?

• It only works with small datasets

• It cannot perform any data analysis

• It lacks internet access for data retrieval

• It cannot handle numerical data