SDS 555: Sports Analytics and 66 Days of Data with @KenJee_ds

Getting Started

Ken Jee offers a structured approach to getting started in data science. He recommends beginning with meta-learning to understand the field's tools and pathways, followed by learning to code to apply mathematical concepts. Ken emphasizes the value of hands-on projects, suggesting that beginners review and tinker with existing projects before creating their own. This iterative process of learning and applying knowledge is crucial for growth in data science 1.

If you can code, you can apply all this math. If you want to understand how randomness works, you can create randomness using code and look how it creates distributions or whatever it does.

--- Ken Jee

Jon Krohn agrees, highlighting the importance of coding-forward approaches in understanding mathematical concepts 2.

   

Community Learning

Ken discusses the unexpected benefits of community learning through platforms like Discord. He highlights how collaboration and shared learning experiences can significantly enhance one's understanding and motivation. The sense of belonging to a community where everyone is learning together can be incredibly rewarding and less intimidating for beginners 3.

You got to be in this learning community where everyone else is like, a lot of new beginners, a lot of people are learning this together. Tell me if that isn't rewarding or doesn't feel like you're part of something.

--- Ken Jee

Ken is grateful for the community's support, noting that it has been one of the coolest developments around his content.

   

Habit Formation

Ken underscores the importance of habit formation in mastering data science, using the #66DaysofData challenge as an example. This initiative encourages daily learning and documentation, helping participants track their progress and stay motivated. Jon Krohn compares this to Jerry Seinfeld's technique of marking a calendar to maintain consistency 4.

By posting every day and having something really clear to post, it breaks through that fear of this process. And it lets you see this track record.

--- Ken Jee

Ken's active participation in the challenge, along with contributions from other community members, has significantly impacted the data science community 5.