Overview
What this challenge is about.
You are given a CSV with daily sales, price, ad spend, and competitor price for 3 products. Your task is to clean the data, run multiple linear regression to estimate demand elasticities, test for heteroskedasticity, and propose a 10% price change scenario. Success means a clear recommendation with confidence intervals and a diagnostic check of model assumptions.
CredentialBlockchain-anchored
ShareableLinkedIn-ready
LanguageEnglish
PaceSelf-paced
The Brief
What you'll do, and what you'll demonstrate.
Determine the optimal price for each product to maximize revenue using econometric modeling of demand.
Earning criteria — what you'll demonstrate
- Apply ordinary least squares regression to estimate demand functions
- Interpret regression coefficients as elasticities
- Test for heteroskedasticity using Breusch-Pagan test
- Use hypothesis testing to assess significance of price effects
- Communicate econometric results to a non-technical audience
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
Careers
Roles this prepares you for.
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Career mappings coming soon.