Learn to build large language model applications: vector databases, langchain, fine tuning and prompt engineering. Learn more
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:
Data Scientist at Data Career Jumpstart
We are looking for passionate people willing to cultivate and inspire the next generation of leaders in tech, business, and data science. If you are one of them get in touch with us!