Tips to Build Data Science Projects and Portfolio

Some useful tips and tricks to build a data science projects.

Projects and portfolios are the cheat code for breaking into data science and analytics. But building these projects isn't easy to build. It's hard to know what type of project to do, where to get the data, and what type of analysis to perform.

In this session, I'll give you the 5 tips I have for overcoming these roadblocks and being able to build killer projects, quickly. These are the 5 tips I used to build 30 data science projects in 30 days. Here's a preview:

- Basing the project off your dream job
- The best place to find data
- How data visualization is the key
- Why you should publish unfinished projects
+ more!

Want to ace your data science interview? Check out this playlist that can navigate your way: https://www.youtube.com/playlist?list=PL8eNk_zTBST9zccqrEhDDkjMZK1k3Aagl

Table of Contents:
00:00 – Introduction
05:42 – Choose the Right Topic
09:42 – Get Good Data
12:00 – Know the Types of Projects
20:49 – Focus on Visualization
26:30 – Modular Projects
36:58 – QnA

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McDonald's Project: https://youtu.be/3bbFc1225-4
Matt Francsis Podcast: https://anchor.fm/datacareerpodcast/episodes/21-Geologist-to-Data-Scientist--Matt-Francsiss-Career-Pivot-Into-Data-Science-e13o3t0
Football Streamlit Project: https://youtu.be/R-ukT78Halo
Avery's LinkedIn: https://www.linkedin.com/in/averyjsmith/
Avery's YouTube: https://www.youtube.com/channel/UCuyfszBAd3gUt9vAbC1dfqA

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