Quick Guide to Becoming a Data Analyst using ChatGPT

📚 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.