Before we explore how to learn Python for data science, we should briefly answer why you should learn Python in the first place. In short, understanding Python is one of the valuable skills needed for a data science career.

. Data science experts expect this trend to continue with increasing development in the Python ecosystem. And while your journey to learn Python programming may be just beginning, it's nice to know that employment opportunities are abundant (and growing) as well

These projects should include several different data sets and should leave readers with interesting insights that you've gleaned. Your portfolio doesn't need a particular theme; find data sets that interest you, then come up with a way to put them together.

Displaying projects like these gives fellow data scientists something to collaborate on and shows future employers that you've truly taken the time to learn Python and other important programming skills. One of the nice things about data science is that your portfolio doubles as a resume while highlighting the skills you've learned, like Python programming.

Kick start your learning by: Communicating, collaborating, and focusing on technical competence. During this time, you'll want to make sure you're cultivating those soft skills required to work with others, making sure you really understand the inner workings of the tools you're using.

Related skills: Learn beginner and intermediate statistics While learning Python for data science, you'll also want to get a solid background in statistics. Understanding statistics will give you the mindset you need to focus on the right things, so you'll find valuable insights (and real solutions) rather than just executing code.