📚 Becoming a data analyst can now be achieved with ChatGPT and minimal learning time and cost.
🔧 To begin data analysis, activate the Advanced Data Analysis feature in ChatGPT's settings.
💡 Custom instructions can be used to improve the quality of responses in ChatGPT.
💼 Setting up custom personas in ChatGPT to simulate a professional data scientist.
📂 Exploring the various file formats that can be uploaded to ChatGPT for advanced data analysis.
📝 Highlighting the availability of a comprehensive course for learning ChatGPT and advanced data analysis.
Uploading and cleaning a data set in ChatGPT.
Analyzing trends in salary, age, and gender using ChatGPT.
Prompting ChatGPT to clean the data based on specific instructions.
💡 The first step in data analysis is to clean and format the data.
🔍 ChatGPT can provide recommendations and instructions for data cleaning based on the provided data.
✅ After cleaning, ChatGPT provides a downloadable copy of the cleaned data for analysis.
📊 After completing the data cleaning steps, the data was formatted correctly and ready for analysis.
🔍 Exploratory Data Analysis (EDA) and feature engineering are recommended as the next steps.
🧹 Data cleaning process went smoothly, no issues or missing values were found.
🔍 By using ChatGPT, I can easily perform exploratory data analysis (EDA) by simply asking it to proceed with EDA.
💡 Data analysis is not limited to yes or no questions; ChatGPT can provide recommendations and answer complex inquiries about key trends, influencing factors, and relationships within the data.
📊 ChatGPT can generate insightful graphs and visualizations to represent the distribution of data based on different components, such as age.
📊 The video discusses the use of data visualization to analyze the distribution of estimated salary and purchase behavior.
📈 It also explains the use of descriptive statistics to analyze numerical features like age and estimated salary.
🔍 Furthermore, the video demonstrates more advanced analysis techniques such as box plots, correlation matrices, and pair plots.