Decode Reddit Sentiment for EcoWear's Biodegradable Sneaker Launch
Overview
What this challenge is about.
Decode Reddit Sentiment for EcoWear's Biodegradable Sneaker Launch. Intermediate challenge in analysis. Analyzing real datasets and building models that driv...
The Brief
What you'll do, and what you'll demonstrate.
How can EcoWear read and respond to Reddit sentiment around its biodegradable sneaker launch in time to shape the narrative during the first week?
This is not a data exercise. It is the work an analyst or data scientist does when stakeholders need answers from messy data. That distinction matters to every hiring manager who has seen candidates describe statistical methods and none who have extracted insight from messy, incomplete, real-world data.
When you finish, you will have something most graduates do not: a real-world deliverable, verified by Ewance, that you can show to a hiring manager and say "I did this. Here is the proof."
When you finish, you will have something most graduates do not: a real-world deliverable, verified by Ewance, that you can show to a hiring manager and say "I did this. Here is the proof."
Earning criteria — what you'll demonstrate
- Classify short, informal social text into sentiment categories and validate the classifier against a hand-labeled sample
- Extract and label latent discussion themes from a noisy comment corpus using topic modeling
- Compare sentiment and theme distributions across two time windows to detect narrative shifts
- Translate quantitative findings into prioritized, audience-appropriate recommendations for a non-technical PR team
- Design a repeatable data pipeline that could refresh the analysis daily from a live source
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
Aligned coursework coming soon.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
- Web Scraping
Apply web scraping to solve real industry problems and demonstrate production-level capability.
- Sentiment Analysis
Apply sentiment analysis to solve real industry problems and demonstrate production-level capability.
- Topic Modeling
Apply topic modeling to solve real industry problems and demonstrate production-level capability.
- Data Visualization
Transform complex data into clear, insightful visual representations.
- Reddit Api
Apply reddit api to solve real industry problems and demonstrate production-level capability.
Careers
Career paths this challenge builds toward
Completing this challenge demonstrates skills that transfer directly to these roles:
Social Media Analyst
This challenge mirrors the daily reality of monitoring brand conversation, turning raw platform chatter into sentiment readings and themes, and briefing communications stakeholders fast enough to influence an active launch narrative.
This challenge sharpens
- sentiment-analysis
- topic-modeling
- data-visualization
Marketing Data Analyst
You practice the core loop of marketing analytics: collecting unstructured audience data, quantifying it, and converting trends into prioritized recommendations that a campaign team can act on within tight timelines.
This challenge sharpens
- web-scraping
- sentiment-analysis
- data-visualization
Social Listening Specialist
The work builds the exact pipeline a listening specialist owns, capturing platform data, modeling recurring themes, and standing up a refreshable dashboard that tracks brand mood over a critical event window.
This challenge sharpens
- reddit-api
- topic-modeling
- web-scraping