29 ChatGPT Prompts for Data Science

Carefully crafted 29 ChatGPT prompts to power up your Data Science tasks. Works perfectly with ChatGPT Free, ChatGPT Plus and ChatGPT Team accounts.

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Total 29 ChatGPT prompt templates

Write a data analysis report summary

Summarize this data analysis report.

Generate a hypothesis for a dataset

Suggest a hypothesis for this dataset.

Describe a dataset

Provide a brief description of this dataset.

Explain a machine learning algorithm

Explain the algorithm in simple terms.

Interpret model results

Interpret the results of this model output.

Draft data preprocessing steps

List preprocessing steps for this type of data.

Formulate a research question

Suggest a research question for this topic.

Explain statistical results

Explain the significance of these statistical results.

Write data visualization captions

Write a caption for this data visualization.

Explain data transformation methods

Explain how to transform data using a specific method.

Describe a correlation

Describe the correlation between two variables.

Explain outliers in a dataset

Explain potential reasons for outliers in this dataset.

Describe the importance of a feature

Explain the significance of a specific feature in a model.

Explain overfitting and underfitting

Explain the difference between overfitting and underfitting in machine learning.

Write a data analysis report

Draft a brief data analysis report based on a summary.

Generate a hypothesis for a dataset

Suggest a hypothesis for this dataset.

Create a list of potential data sources

List 5 potential data sources for studying a topic.

Draft a data cleaning plan

Outline a data cleaning plan for this dataset.

Formulate data-driven business questions

Propose 5 business questions based on this data.

Write SQL queries for data extraction

Write an SQL query to extract data with specific criteria.

Draft a data visualization caption

Write a caption for this data visualization.

Create a list of recommended algorithms

Recommend 5 algorithms for analyzing a specific data problem.

Write a model evaluation summary

Summarize the performance of this model.

Formulate a list of data preprocessing s..

List the steps to preprocess this dataset.

Write a summary of data insights

Summarize insights from this data analysis.

Draft recommendations based on data find..

Provide recommendations based on these findings.

Create a list of potential data biases

Identify potential biases in this dataset.

Draft a data governance policy

Outline a data governance policy for a specific company or industry.

Create a list of data visualization type..

Recommend 5 visualization types for this data.