So what would an atomic habit for becoming a data scientist look like? Here are a few ideas:
- Open RStudio and type “Good morning, R” into the console. That’s it. Seriously.
- Write code for 5 minutes
- Use one new function. Reading the help page counts.
- Make a single commit on git.
Stacking these habits might look something like: “Every morning after I make coffee, I’ll write code for five minutes.”
“The friction you set up or remove in the environment is going to have an effect long after you’ve gotten discouraged and are less excited about the new behavior,” said Wendy Wood, a research psychologist at the University of Southern California and author of “Good Habits, Bad Habits.” “That’s why friction is so powerful. It persists.”
I’m sure I’m not alone in doing this.
Something catches my attention, & I want to learn more about it.
I immediately jump to the resources that seem to appeal to me.
I try to do it.
I give up.
I think there’s a word for it: dilettante. A pejorative.
Occasionally, something sticks with me long enough that I learn the basics well enough that they become habits. “know enough to be dangerous”.
On a quest now to figure out, mid-life, what motivates me to want to learn something new, and how to learn about it so it sticks.
This is the second Leo Babauta link this week – and there is reason enough. Using the analogy of learning the lyrics to a favourite song to building new habits is something I’ve not considered before, & Leo does a great job in this post.
Steven Covey’s book, 7 habits of highly effective people, is the choice for Mr. Money Moustache’s most recent blogpost – what can you control vs what are you concerned about.
This article says that despite what you often hear – 21 days is how long it takes – the answer is significantly different, & in a very different way too.