Aaron Melton saw the power of Python while working at a power plant. His team was using Excel for a complex report, which was time consuming and error-prone. He decided to learn Python to fix it, and after several months of attempts got NetworkX to work.
“It was a great moment. I saw how I could speed up what we were doing.”
He found Dataquest during this process, and it gave him the Python background he needed to succeed.
That's the beauty of Dataquest: it starts at the most basic level, so a true beginner can understand the concepts.
He had tried learning to code before, using CodeAcademy and a couple classes on Coursera. “I struggled because I had no background in coding. I was spending a lot of time googling and I didn’t have that much time to learn.”
He was growing more dissatisfied with his job at the power plant, but knew he needed more skills before he moved on. For a year he kept going and growing his skills. “Dataquest helped me get through that job.”
When Aaron was ready, he quit and threw himself into job hunting, landing a position after a couple months. He now works as a Business Intelligence Analyst for VBO. It’s not his ideal job yet, as he’d like to be building machine learning models. But it’s a start, and allows him to beef up his math and stats skills.
“I have these Python skills, but now the problem is making a defendable analysis with statistical rigor. It would have been a good idea to brush up on stats at the same time as I was learning Python.”
For now, he plans on moving on through Dataquest’s stats courses so he can continue to grow. He is sure he wouldn’t have made it this far without Dataquest.