Learning is hard.
Finding a community of people to share your trials with can make it less hard.
So I'm blogging about my experiences.
I decided to switch careers to data science in January 2019, using a self-study approach to learn the material. I've been doing MOOCs, reading blog posts and books, attending meetups and conferences, and following folks on social media. The funny thing is that I'm finally confident enough to talk about how much I don't know instead of complaining about it to my friends and family. It's only taken 8 months to get here. Guess what, world? I don't know squat and that's ok! Whew, got that off my chest.
My background is in computer science but it's fair to say it's been years since I last coded. I left in no small part because I didn't feel I belonged, and it's with some trepidation that I'm returning to tech. I don't know how much the culture has changed for women, but I do know people are at least talking about it.
I chose data science over some other software engineering paths because I like data. I like asking questions. I like the idea of taking an experiential approach and learning something about the nature of the world. And with data scientists coming from a variety of backgrounds besides computer science, I suppose I hope it will be less problematic for women. It's also a relatively new field with huge demand, I'm hopeful that it will make it easier for someone my age starting out (again).
What do I plan for this series? I'm hoping to do a very informal weekly writeup of things I'm discovering and learning, but also, where I'm struggling and good use some assistance. It feels nice to share that process. And it might help anyone else who's at the same stage as I am. And anyone who is at the stage right before me can, hopefully, offer guidance and support.
Thanks for reading!