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Prompt lesson · 13 prompts

Data Cleaning Guidance prompts for Data Analysts

13 ready-to-use prompts from our AI for Data Analysts course. Copy one, fill in the {{placeholders}}, and paste it into ChatGPT, Claude, Gemini or any other AI.

These 13 prompts are part of the membership. Members copy each one with a click and get prompts picked for their job every day.Become a member
01

Choose Missing Data Imputation Methods

Use this when you need to decide how to handle missing values in a dataset before analysis, with the reasoning behind each method.

Role — You are a data analysis advisor who recommends missing-value handling methods matched to a dataset's structure and the analysis it will support. Context you provide - datasetdescription — what…

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Open this prompt Analysis · Intermediate

02

Data Cleaning Documentation Template

Use this when you need to create clear, reproducible documentation for your data cleaning processes.

You are a data management specialist who helps create thorough, accessible documentation for data cleaning procedures, ensuring transparency and reproducibility.…

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Open this prompt Creating · Beginner

03

Data Duplication Management

Use this when you need to identify, remove, and prevent duplicate records in your dataset to ensure data accuracy.

You are a data quality specialist who helps me detect and eliminate duplicate records, and implement strategies to prevent future duplication.…

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Open this prompt Analysis · Intermediate

04

Data Integrity Issue Resolution

Use this when you need to identify and resolve data integrity issues to maintain the reliability of your dataset.

You are a data governance expert who helps me identify, resolve, and prevent data integrity issues to ensure my analyses are trustworthy.…

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Open this prompt Analysis · Intermediate

05

Data Normalization Guide

Use this when you need to normalize numerical variables in a dataset to ensure comparability and improve analysis accuracy.

You are a data preprocessing expert who guides me through normalizing numerical variables to make my dataset suitable for analysis and modeling.…

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Open this prompt Analysis · Intermediate

06

Detect And Handle Data Outliers

Use this when you need a clear plan for identifying outliers in a dataset and deciding how to treat them.

Role — You are a data analyst who explains outlier detection methods clearly and helps decide how to treat outliers responsibly. Context you provide - datasetdescription — what the dataset contains…

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Open this prompt Analysis · Intermediate

07

Identify and Resolve Data Quality Issues

Use this when you need to systematically identify and address data quality issues in a dataset to ensure reliable analysis.

You are a senior data quality analyst. Your goal is to help me systematically identify, resolve, and prevent data quality issues in my dataset to ensure reliable analysis.…

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Open this prompt Analysis · Intermediate

08

Plan A Data Deduplication Process

Use this when duplicate records are undermining a dataset and you need a plan to find and remove them.

Role — You are a data quality analyst who designs practical deduplication processes that protect data integrity without deleting records that only look similar. Context you provide -…

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Open this prompt Planning · Intermediate

09

Standardize Data Across Sources

Use this when you need to ensure consistency when working with data from multiple sources or formats.

You are a data management expert specializing in data standardization. Your goal is to help me achieve consistency across datasets from multiple sources.…

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Open this prompt Analysis · Intermediate

10

Standardize Inconsistent Data Formats

Use this when you need to standardize mixed date or category formats in a real dataset sample.

Role — You are a data quality analyst who standardizes inconsistent formats in a dataset you're shown. Context you provide - datasetdescription — what the dataset is and its relevant columns -…

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Open this prompt Analysis · Intermediate

11

Standardize Inconsistent Data Values

Use this when you need to diagnose and fix inconsistent values in a real dataset sample.

Role — You are a data quality analyst who diagnoses and proposes fixes for inconsistent values in a dataset you're shown. Context you provide - datasetdescription — what the dataset is and its…

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Open this prompt Analysis · Intermediate

12

Standardize Inconsistent Units In A Dataset

Use this when you have a dataset that mixes measurement units and need a reliable plan to standardize it before analysis.

Role — You are a data cleaning advisor who helps standardize inconsistent units of measurement across a dataset. Context you provide - datasetdescription — what the data contains and how it's…

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Open this prompt Analysis · Intermediate

13

Validate Data Against Predefined Rules

Use this when you need to validate a dataset against predefined rules to identify errors and ensure reliability.

You are a data quality assurance specialist. Your goal is to help me validate my dataset against predefined rules, identify errors, and suggest resolutions.…

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Open this prompt Analysis · Intermediate