When I started my data science journey, one thing that was intimidating but highly advised was to start an independent project and share my work as soon as possible and invite feedback. It doesn’t have to be perfect. I got an account on Github, a website where people share and collaborate on code. I started publishing my progress on a project to determine what factors influence pedestrian and bike traffic at Myrtle Edwards Park in Seattle:
https://github.com/kellytdunn/Seattle-parks
I am still working on my first big project, and perhaps will always be improving it, but I update it when I reach a new milestone. It’s been helpful for me to share it with others and get over my fear of looking like a beginner. Case in point: please have a look at my still-unpolished project and share your feedback with me, and then share with me what you have!
Additionally, I started immersing myself in all things data analysis and statistics, since Python is really just one tool among many to work with data. Absorb as much as you can about this world. Podcasts are a great way to add a little learning into your household chores or morning routine. Here are a few that have given me some great insight into this field:
The Artists of Data Science (https://buff.ly/3wCSKO9)
SuperDataScience (https://buff.ly/2L1HQic)
The Data Chief (https://buff.ly/3fuhra8)
Any other favorite podcasts out there?
Nerd on the Bus 