Put your prompting skills to the test to learn how to carry out one of the most critical data analytics tasks: data cleaning. 

CleanerBot3000

Identifying data cleaning steps

Removing duplicate values

Filtering out null values

Standardizing data formats

Splitting columns

Cleaning Data

In this prompt engineering project, you will harness the power of generative AI to tackle one of the most critical tasks in data analytics: data cleaning! Through this hands-on project, you’ll design AI-driven prompts to identify and address common data issues like duplicates, null values, missing values, inconsistent formatting, and more. Build intelligent workflows to streamline messy datasets and ensure accuracy, consistency, and usability.

Are you new to data analytics? Have you had the experience of navigating through messy datasets that aren’t useable for analysis? If only there were a tool to support you through cleaning your dataset!<br><br>

<h2>Learn how to clean your data with AI</h2> 
Put your prompting skills to the test by interacting with a chatbot designed to show you how to clean a dataset! This project focuses on using generative AI to teach you all the necessary steps to identify and address common data issues, such as handling duplicate values, filtering out null values, and dealing with inconsistent formatting. This hands-on experience emphasizes using prompt engineering to optimize AI-driven interactions, elevating your technical skills in data cleaning. 

Utilize generative AI to tackle data cleaning in this project. Design prompts to resolve duplicates, null values, formatting, and more for consistent data.

Use generative AI to tackle data cleaning, fixing duplicates, nulls, and formatting for consistent, accurate datasets.

Identifying data cleaning steps

Cleaning Data with Generative AI

Ejercicio interactivo práctico