Giving and Receiving Project Feedback
Now that you have completed a Portfolio Project, it’s time to get feedback!
Learners like you have also completed the projects and shared them on the Codecademy forum. It’s a safe space to get reviews, help, and learn from others.
Post your project – including any code, findings, and presentation materials – on the forum and ask for feedback. Depending on the nature of your project, posting may require sharing a link or adding an attachment with your files in the forum. Follow the instructions in your project for more specific advice.
Peer review can improve your coding skills and make you a better team-player. Here’s how to get the most out of the discussion:
- Clearly label your project with the path and project name.
- Ask for specific feedback, e.g. “Is there a more efficient way to query this data?”; “Do you agree with my findings?”
- Review your peers’ work too – you’ll be giving back to the community that helped you and you’ll get practice reviewing another developer’s code. Give both positive and critical feedback.
Links to Portfolio Projects
To get the best support, navigate to the specific forum post for the current Portfolio Project that you’re working on:
Back-End Engineer Career Path
- Mixed Messages
- Envelope Budgeting, Part I
- Envelope Budgeting Part II
- Photo Caption Contest
- Final Back-End Project
Computer Science Career Path
Data Analyst Career Path
- Data Analyst Interview Preparation Portfolio-Building Project
- Visualization Portfolio Project
- Data Analyst Final Portfolio
Data Scientist Career Path
- U.S. Medical Insurance Costs
- Life Expectancy and GDP
- Biodiversity in National Parks
- OKCupid Date-A-Scientist
- Data Scientist Final Portfolio Project
Front-End Engineer Career Path
Full-Stack Engineer Career Path
- Mixed Messages
- Personal Portfolio Website
- Reddit Project
- E-Commerce Website, Part I
- E-Commerce Website, Part II
- Final PERN Project
- Apply Natural Language Processing with Python: Text Message Analysis
- Build Deep Learning Models with TensorFlow: Forest Cover Classification
- Build Python Web Apps with Django: Django Delights
- Create an Advanced Web App with React and Redux: Inspirational Homepage