Project

Coffee Breaks Analyzer

Easy
31 completions
~ 3 hours
3.7

Use ChatGPT to analyze data on coffee break habits of your coworkers, identifying stress and productivity patterns to enhance the work environment.

Provided by

Edvancium Edvancium

About

You're a project manager at the aspiring fintech company Hypey, and you're in your second month of work. Your manager has assigned you a creative task to analyze how your coworkers take breaks and use this data to identify who might be experiencing burnout and who might be disengaged with their tasks. This project is an opportunity to showcase your abilities!
This project enables you to utilize AI for analyzing datasets featuring multiple rows and columns, using coffee break information as a case study. You'll not only acquire basic data analysis skills essential for many occupations but also improve your strategic thinking. You'll apply your problem-solving abilities, enhance your capacity to communicate findings clearly, and consider the ethical implications of managing sensitive corporate data.

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Graduate project

This project covers the core topics of the ChatGPT for Work course, making it sufficiently challenging to be a proud addition to your portfolio.

At least one graduate project is required to complete the course.

What you'll learn

Once you choose a project, we'll provide you with a study plan that includes all the necessary topics from your course to get it built. Here’s what awaits you:
Add context, and expand the request with some basic calculations.
Figure our the length of the break times, average and median values.
Examine the behavior of various departments and find out exact coworkers with stress patterns.
Consider potential actions based on the insights derived from the data.

Reviews

Viacheslav Shalisko avatar
Viacheslav Shalisko
5 months ago
I read several advises on prompt design for the use of ChatGPT generative LLM, however most stages of the project were not very useful, as actually there is no clear feedback for the model output after a given prompt.
Joydeep Chatterjee avatar
Joydeep Chatterjee
6 months ago
Without an onboard LLM to guarantee consistency of responses as well as validate prompts, these exercises were useless.
Mauro Gonçalves avatar
Mauro Gonçalves
7 months ago
During this project, I learned how to transform workplace data into actionable strategies by analyzing patterns and designing tailored initiatives. I improved at writing clear, goal-driven prompts and structuring creative, realistic action plans. A challenge I overcame was balancing innovation with ...

3.7

Learners who completed this project within the ChatGPT for Work course rated it as follows:
Usefulness
3.9
Fun
3.4
Clarity
3.8