14 Joining the data science community

 

This chapter covers

  • Growing your portfolio of projects and blog posts
  • Finding and getting the most out of conferences
  • Giving a great data science talk at a meetup or conference
  • Contributing to open source

When you’re in a data science job, doing well at it can feel like the only way to advance your career. But there are many other ways to grow your skills, especially by engaging with the data science community. Spending time outside work doing activities such as presenting talks or contributing to open source can be enormously beneficial for your career.

In this chapter, we go over four ways you can join the community: growing your portfolio, attending conferences, giving talks, and contributing to open source. We present four activities so that you may choose the ones you like best; very few people have the time and energy to do them all. Although these things will take time outside your normal day job, that doesn’t mean they should take over your life. Throughout this chapter, we give advice about using your time effectively with tactics such as reusing talks, turning a blog post into a talk, and writing a blog post about your first open source contribution.

14.1. Growing your portfolio

14.1.1. More blog posts

14.1.2. More projects

14.2. Attending conferences

14.2.1. Dealing with social anxiety

14.3. Giving talks

14.3.1. Getting an opportunity

14.3.2. Preparing

14.4. Contributing to open source

14.4.1. Contributing to other people’s work

14.4.2. Making your own package or library

14.5. Recognizing and avoiding burnout

14.6. Interview with Renee Teate, director of data science at HelioCampus

What are the main benefits of being on social media?

What would you say to people who say they don’t have the time to - engage with the community?