110 Smart ChatGPT Prompts for Data Science – Pdf Free Download

In the realm of data science, where insights drive innovation and decision-making, the ability to generate meaningful analyses and solutions efficiently is paramount. Smart ChatGPT prompts have emerged as valuable tools for data scientists, offering a versatile approach to tackling various tasks and challenges in the field. From exploratory data analysis and model development to report generation and presentation, ChatGPT prompts can streamline workflows, spark creativity, and accelerate problem-solving. Let’s explore how data scientists can effectively leverage Smart ChatGPT prompts to elevate their work and achieve better outcomes.

Understanding Smart ChatGPT Prompts for Data Science

Smart ChatGPT prompts are prompts or queries that guide the AI model to generate responses, insights, or solutions related to data science tasks and projects. These prompts can range from simple inquiries about data analysis techniques to complex requests for model development or visualization recommendations. By providing specific prompts, data scientists can harness the power of ChatGPT to augment their analytical capabilities and address various data-related challenges effectively.

Enhancing Exploratory Data Analysis (EDA) and Data Cleaning

Exploratory Data Analysis (EDA) is a crucial phase in the data science process, allowing practitioners to understand the structure, patterns, and relationships within datasets. Smart ChatGPT prompts can aid data scientists in conducting EDA by generating descriptive statistics, visualizations, and insights that illuminate key aspects of the data. For example, prompts like “Explore trends in customer purchasing behavior” or “Identify outliers in financial transaction data” can guide the AI model to provide relevant analyses and visualizations, facilitating deeper insights and informed decision-making.

Accelerating Model Development and Optimization

Model development and optimization are central to data science projects, where the goal is to build predictive models that deliver accurate and actionable insights. Smart ChatGPT prompts can expedite this process by generating code snippets, algorithm recommendations, and parameter tuning strategies tailored to specific modeling tasks. Data scientists can input prompts such as “Recommend algorithms for time series forecasting” or “Optimize hyperparameters for neural network classification,” leveraging ChatGPT’s expertise to streamline model development and enhance predictive performance.

Automating Report Generation and Documentation

Effective communication of findings and insights is essential in data science projects, enabling stakeholders to understand results and make informed decisions. Smart ChatGPT prompts can automate report generation and documentation by generating summaries, interpretations, and visual representations of analysis results. By inputting prompts like “Create a summary report of regression analysis findings” or “Generate visualizations for presentation slides on market trends,” data scientists can expedite the reporting process and communicate complex information effectively to diverse audiences.

Providing Insights and Recommendations

In addition to supporting specific tasks, Smart ChatGPT prompts can provide valuable insights and recommendations on data science methodologies, best practices, and emerging trends. Data scientists can input prompts such as “Suggest techniques for feature engineering in machine learning” or “Provide resources for learning about deep learning architectures,” tapping into ChatGPT’s knowledge base to expand their expertise and stay updated on the latest advancements in the field.

Tips for Effective Use of Smart ChatGPT Prompts in Data Science

1. Be Specific: Clearly define your data science task or problem when formulating prompts to ensure relevant and actionable responses.
2. Iterate and Refine: Experiment with different prompts and refine them based on the quality and relevance of the generated responses.
3. Validate Outputs: Verify the accuracy and validity of AI-generated outputs through manual review, testing, or validation against ground truth data.
4. Combine with Domain Knowledge: Supplement AI-generated insights with domain expertise and critical thinking to ensure robust analysis and interpretation.

Here are the best ChatGPT Prompts for Data Science:

ChatGPT for Data Science: Building Machine Learning Models

1. Train a Classification Model

Prompt: I want you to act as a data scientist and code for me. I have a dataset of [describe dataset]. Please build a machine learning model that predicts [target variable].

2. Automatic Machine Learning with TPOT

Prompt: I want you to act as an automatic machine learning (AutoML) bot using TPOT for me. I am working on a model that predicts […]. Please write Python code to find the best classification model with the highest AUC score on the test set.

ChatGPT for Data Science: Data Exploration and Visualization

3. Explore a Dataset

Prompt: I want you to act as a data scientist and code for me. I have a dataset of [describe dataset]. Please write code for data visualization and exploration.

4. Visualize Data with Matplotlib

Prompt: I want you to act as a coder in Python. I have a dataset [name] with columns [name]. [Describe graph requirements]

Code Optimization and Improvement

5. Improve Code Speed

Prompt: I want you to act as a software developer. Please help me improve the time complexity of the code below. [Insert code]

6. Optimize Pandas Code

Prompt: I want you to act as a code optimizer. Can you point out what’s wrong with the following pandas code and optimize it? [Insert code here]

ChatGPT for Data Science: Writing and Translating Code

7. Write a Regex in Python

Prompt: I want you to act as a coder. Please write me a regex in Python that [describe regex]

8. Translate Python to R

Prompt: I want you to act as a code translator. Can you please convert the following code from Python to R? [Insert code]

Understanding and Explaining Code

9. Explain Python Code

Prompt: I want you to act as a code explainer. What is this code doing? [Insert code]

10. Explain SQL Code

Prompt: I want you to act as a data science instructor. Can you please explain to me what this SQL code is doing? [Insert SQL code]

ChatGPT for Data Science: Code Debugging and Troubleshooting

11. Debug Python Code

Prompt: I want you to act as a software developer. This code is supposed to [expected function]. Please help me debug this Python code that cannot be run. [Insert function]

12. Correct SQL Code

Prompt: I want you to act as a SQL code corrector. This code does not run in [your DBMS, e.g. PostgreSQL]. Can you correct it for me? [SQL code here]

ChatGPT for Data Science: Machine Learning Model Interpretation

13. Get Feature Importance

Prompt: I want you to act as a data scientist and explain the model’s results. I have trained a decision tree model and I would like to find the most important features. Please write the code.

14. Explain Model with SHAP

Prompt: I want you to act as a data scientist and explain the model’s results. I have trained a scikit-learn XGBoost model and I would like to explain the output using a series of plots with SHAP. Please write the code.

ChatGPT for Data Science: Working with Time Series Data

15. Time Series Decomposition

Prompt: I want you to act as a data scientist and code for me. I have a time series dataset of [describe dataset]. Please perform a time series decomposition and plot the components.

16. Time Series Forecasting with ARIMA

Prompt: I want you to act as a data scientist and code for me. I have a time series dataset of [describe dataset]. Please help me build an ARIMA model to forecast the data.

ChatGPT for Data Science: Deep Learning and Neural Networks

17. Build a Simple Neural Network

Prompt: I want you to act as a deep learning expert. Please write code to create a simple neural network with TensorFlow for [describe task].

18. Transfer Learning with Pretrained Models

Prompt: I want you to act as a deep learning expert. I have a dataset [describe dataset]. Please write code to perform transfer learning using a pretrained model from TensorFlow Hub.

ChatGPT for Data Science: Natural Language Processing

19. Text Classification with BERT

Prompt: I want you to act as a natural language processing expert. I have a text dataset [describe dataset]. Please help me build a text classification model using BERT.

20. Named Entity Recognition with SpaCy

Prompt: I want you to act as a natural language processing expert. I have a text dataset [describe dataset]. Please help me extract named entities using SpaCy.

ChatGPT for Data Science: Recommender Systems

21. Collaborative Filtering with Surprise

Prompt: I want you to act as a recommender systems expert. I have a dataset of user-item ratings. Please help me build a collaborative filtering model using the Surprise library.

22. Content-Based Recommender

Prompt: I want you to act as a recommender systems expert. I have a dataset of items with metadata [describe dataset]. Please help me build a content-based recommender.

ChatGPT for Data Science: Data Wrangling

23. Clean and Preprocess Text Data

Prompt: I want you to act as a data scientist and code for me. I have a dataset of text data [describe dataset]. Please help me clean and preprocess the data for further analysis.

24. Combine Multiple Datasets

Prompt: I want you to act as a data scientist and code for me. I have several datasets with different structures [describe datasets]. Please help me combine them into a single dataset for analysis.

ChatGPT for Data Science: Data Ethics and Bias

25. Identify and Mitigate Bias in AI

Prompt: I want you to act as a data ethics expert. How can we identify and mitigate biases in AI algorithms?

26. Privacy-Preserving Techniques in Data Science

Prompt: I want you to act as a data privacy expert. What are some privacy-preserving techniques we can use in data science projects?

ChatGPT for Data Science: Big Data and Distributed Computing

27. Analyze Big Data with Dask

Prompt: I want you to act as a big data expert. I have a large dataset [describe dataset]. Please help me analyze it using Dask.

28. Distributed Machine Learning with Apache Spark

Prompt: I want you to act as a big data expert. I have a dataset [describe dataset]. Please help me build a machine learning model using Apache Spark.

ChatGPT for Data Science: Data Science Career and Education

29. Advice for Aspiring Data Scientists

Prompt: I want you to act as a data science career coach. What advice would you give to aspiring data scientists?

30. Best Data Science Courses and Resources

Prompt: I want you to act as a data science education expert. What are the best courses and resources for learning data science?

ChatGPT for Data Science: Other Data Science Tools

31. Geospatial Analysis with Python

Prompt: I want you to act as a geospatial expert. I have a dataset with geospatial information [describe dataset]. Please help me perform geospatial analysis using Python libraries.

32. Anomaly Detection in Time Series Data

Prompt: I want you to act as a data scientist and code for me. I have a time series dataset of [describe dataset]. Please help me identify anomalies in the data.

33. Text Summarization with Machine Learning

Prompt: I want you to act as a natural language processing expert. I have a large text dataset [describe dataset]. Please help me build a model for text summarization.

34. A/B Testing and Experimental Design

Prompt: I want you to act as a data scientist and code for me. I have a dataset of user behavior [describe dataset]. Please help me design and analyze an A/B test to optimize a specific metric.

35. Creating Interactive Visualizations with Plotly

Prompt: I want you to act as a data visualization expert. I have a dataset [describe dataset]. Please help me create interactive visualizations using Plotly.

Source: https://docs.kanaries.net/articles/chatgpt-prompt-data-scientist

Prompt: I want you to act as a data scientist and code for me. I have a dataset of [describe dataset]. Please build a machine learning model that predicts [target variable].

Prompt: I want you to act as an automatic machine learning (AutoML) bot using TPOT for me. I am working on a model that predicts [...]. Please write Python code to find the best classification model with the highest AUC score on the test set.

Prompt: I want you to act as a data scientist and code for me. I have trained a [model name]. Please write the code to tune the hyperparameters.

Prompt: I want you to act as a data scientist and code for me. I have a dataset of [describe dataset]. Please write code for data visualisation and exploration.

Prompt: I want you to act as a fake data generator. I need a dataset that has x rows and y columns: [insert column names]

Prompt: I want you to act as a coder. Please write me a regex in Python that [describe regex]

Prompt: I want you to act as a data scientist and code for me. I have a time series dataset [describe dataset]. Please build a machine learning model that predicts [target variable]. Please use [time range] as train and [time range] as validation.

Prompt: I want you to act as a coder. I have trained a machine learning model on an imbalanced dataset. The predictor variable is the column [Insert column name]. In Python, how do I oversample and/or undersample my data?

Prompt: I want you to act as a data scientist and explain the model’s results. I have trained a decision tree model and I would like to find the most important features. Please write the code.

Prompt: I want you to act as a coder in Python. I have a dataset [name] with columns [name]. [Describe graph requirements]

Prompt: I want you to act as a coder. I have a folder of images. [Describe how files are organised in directory] [Describe how you want images to be printed]

Prompt: I want you to act as a data scientist and explain the model’s results. I have trained a [library name] model and I would like to explain the output using LIME. Please write the code.

Prompt: I want you to act as a data scientist and explain the model’s results. I have trained a scikit-learn XGBoost model and I would like to explain the output using a series of plots with Shap. Please write the code.

Prompt: I want you to act as a coder. Can you help me parallelize this code across threads in Python?

Prompt: I want you to act as a software developer. I would like to compare the efficiency of two algorithms that performs the same task in Python. Please write code that helps me run an experiment that can be repeated for 5 times. Please output the runtime and other summary statistics of the experiment. [Insert functions]

Prompt: I want you to act as a data scientist. I need to create a numpy array. This numpy array should have the shape of (x,y,z). Please initialize the numpy array with random values.

Credit: @svpino

Prompt: I want you to act as a software developer. Please write unit tests for the function [Insert function]. The test cases are: [Insert test cases]

Prompt: I want you to act as a data scientist. Please write code to test if that my pandas Dataframe [insert requirements here]

Credit: @svpino

Prompt: I want you to act as a code explainer. What is this code doing? [Insert code]

Prompt: I want you to act as a data science instructor. Can you please explain to me what this SQL code is doing? [Insert SQL code]

Prompt: I want you to act as a Google Sheets formula explainer. Explain the following Google Sheets command. [Insert formula]

Prompt: I want you to act as a software developer. Please help me improve the time complexity of the code below. [Insert code]

Prompt: I want you to act as a code optimizer. Can you point out what’s wrong with the following pandas code and optimize it? [Insert code here]

Prompt: I want you to act as a code optimizer. Can you point out what’s wrong with the following pandas code and optimize it? [Insert code here]

Prompt: I want you to act as a code optimizer. The code is poorly written. How do I correct it? [Insert code here]

Prompt: I want you to act as a SQL code optimizer. The following code is slow. Can you help me speed it up? [Insert SQL]

Prompt: I want you to act as a code simplifier. Can you simplify the following code?

Credit: @svpino

Prompt: I want you to act as a software developer. Please provide documentation for func1 below. [Insert function]

Prompt: I want you to act as a code analyzer. Can you improve the following code for readability and maintainability? [Insert code]

Prompt: I want you to act as a SQL formatter. Please format the following SQL code. Please convert all reserved keywords to uppercase [Insert requirements]. [Insert Code]

Prompt: I want you to act as a coder and write SQL code for MySQL. What is the equivalent of PostgreSQL’s DATE_TRUNC for MySQL?

Credit: @svpino

Prompt: I want you to act as a code translator. Can you please convert the following code from Python to R? [Insert code]

Credit: @svpino

Prompt: I want you to act as a code translator. Can you please convert the following code from R to Python? [Insert code]

Prompt: I want you to act as a data science instructor. Explain [concept] to a five-year-old.

Prompt: I want you to act as a data science instructor. Explain [concept] to an undergraduate.

Prompt: I want you to act as a data science instructor. Explain [concept] to a professor.

Prompt: I want you to act as a data science instructor. Explain [concept] to a business stakeholder.

Prompt: I want you to act as an answerer on StackOverflow. You can provide code snippets, sample tables and outputs to support your answer. [Insert technical question]

Prompt: I want you to act as a software developer. Please help me catch edge cases for this function [insert function]

Prompt: I want you to act as a data science career coach. I want to build a predictive model for [...]. At the same time, I would like to showcase my knowledge in [...]. Can you please suggest the five most relevant datasets for my use case?

Prompt: I want you to act as a data science coach. My background is in [...] and I would like to [career goal]. I need to build a portfolio of data science projects that will help me land a role in [...] as a [...]. Can you suggest five specific portfolio projects that will showcase my expertise in [...] and are of relevance to [company]?

Prompt: I want you to act as a data science coach. I would like to learn about [topic]. Please suggest 3 best specific resources. You can include [specify resource type]

Prompt: I want you to act as a software developer. Please compare the time complexity of the two algorithms below. [Insert two functions]

Prompt: I want you to act as a data scientist and perform feature engineering. I am working on a model that predicts [insert feature name]. There are columns: [Describe columns]. Can you suggest features that we can engineer for this machine learning problem?

Prompt: I want you to act as a statistician. [Describe context] Please design an A/B test for this purpose. Please include the concrete steps on which statistical test I should run.

Prompt: I want you to act as a career advisor. I am looking for a role as a [role name]. My background is [...]. How do I land the role and with what resources exactly in 6 months?

Prompt: Your above code is wrong. [Point out what is wrong]. Can you try again?

Prompt: I want you to act as a software developer. This code is supposed to [expected function]. Please help me debug this Python code that cannot be run. [Insert function]

Prompt: I want you to act as a SQL code corrector. This code does not run in [your DBMS, e.g. PostgreSQL]. Can you correct it for me? [SQL code here]

Credit: Mathias Halkjær Petersen

Prompt: I want you to act as a Power BI modeler. Here is the details of my current project. [Insert details]. Do you see any problems with the table?

Prompt: I want you to act as a data scientist and write SQL code for me. I have a table with two columns [Insert column names]. I would like to calculate a running average for [which value]. What is the SQL code that works for PostgreSQL 14?

Credit: DataLemur

Prompt: Assume you are given the tables… with the columns… Output the following… [Question from Data Lemur)

Prompt: I want you to act as a bot that generates Google Sheets formula. Please generate a formula that [describe requirements]

Prompt: I want you to act as a data scientist using R. Can you write an R script that [Insert requirement here]

Prompt: I want you to act as a Linux terminal expert. Please write the code to [describe requirements]

Prompt: I want you to act as an Excel VBA developer. Can you write a VBA that [Insert function here]?

Prompt: I want you to act as a document formatter. Please format the following into a nice table for me to place in Google Docs? [insert text table here]

Prompt: I want you to act as a technical book summarizer. Can you please summarize the book [name] with 5 main points?

Prompt: I want you to act as an academic. Please summarise the paper [...] in simple terms in one paragraph.

Prompt: I want you to provide emotional support to me. [Explain problem here.]

Source: https://github.com/travistangvh/ChatGPT-Data-Science-Prompts

Other useful ChatGPT prompts for Data Science

1. Act as a data scientist and build a machine learning model for me. I have a dataset of customer churn data. Please create a model that predicts customer churn using features such as [insert metrics]. [Insert data set]
2. Act as an automatic machine learning (AutoML) bot using TPOT. I’m working on a model that predicts credit card fraud. Provide Python code to identify the optimal classification model, aiming for the highest AUC score on the test dataset.
3. Can you help me train a [model name]? Please provide the Python code to tune the hyperparameters and predict [parameters].
4. Please write code for [subject] data visualization and exploration, including scatter plots, histograms, and correlation matrices.
5. I need a dataset with [number] rows and [number] columns. The columns should include “age,” “gender,” “income,” and “purchase history.” Please provide the dataset in CSV format.
6. Write a Python regex that matches email addresses. The regex should account for variations in domain names and handle common email formats.
7. Please build a machine-learning model that predicts [subject] based on historical data. Use the past year as the training period and the most recent month as the validation period.
8. I want you to act as a data scientist and perform feature engineering for a customer churn prediction model. The dataset contains customer [metrics]. Please write Python code to generate new features that could improve the model’s performance.
9. Can you help me implement a natural language processing (NLP) model? I have a dataset of customer reviews, and I want to classify them into positive and negative sentiment categories. Please provide the code for text preprocessing, feature extraction, and model training.
10. I need a dataset for sentiment analysis with [number] rows and [number] columns: “text” and “label” (positive/negative). Please generate the dataset in CSV format.
11. Write a Python script to scrape data from a website. The script should extract information such as [metrics/information] and save it in a structured format like [formatting code language].
12. Act as a data scientist and build a recommendation system for an ecommerce platform. The dataset contains user browsing and purchase history. Please write in Python code.
13. Can you help me perform dimensionality reduction on a high-dimensional dataset? Please write a structured query language (SQL) code to apply principal component analysis (PCA) and visualize the data in a reduced dimension space.
14. I have a dataset of customer transactions. Please write code to calculate various customer lifetime value (CLV) metrics, such as [metrics].
15. I want you to act as a programmer in [programming language]. Please simplify this code: [insert code].

Source: https://www.semrush.com/blog/chatgpt-prompts/#chatgpt-prompts-for-data-science

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110 Smart ChatGPT Prompts for Data Science.pdf

Conclusion

Smart ChatGPT prompts offer data scientists a powerful tool for accelerating workflows, generating insights, and overcoming challenges in data science projects. By effectively leveraging ChatGPT’s capabilities, data scientists can streamline exploratory data analysis, accelerate model development, automate report generation, and gain valuable insights to drive innovation and decision-making. With thoughtful integration and strategic use, Smart ChatGPT becomes an indispensable companion for data scientists, empowering them to unlock the full potential of data and drive impactful outcomes in various domains.