Yes, you can: learn data science

Douglas Adams had it right in Dirk Gently’s Holistic Detective Agency. Discussing the mathematical complexity of the natural world, he writes:

… the mind is capable of understanding these matters in all their complexity and in all their simplicity. A ball flying through the air is responding to the force and direction with which it was thrown, the action of gravity, the friction of the air which it must expend its energy on overcoming, the turbulence of the air around its surface, and the rate and direction of the ball’s spin. And yet, someone who might have difficulty consciously trying to work out what 3 x 4 x 5 comes to would have no trouble in doing differential calculus and a whole host of related calculations so astoundingly fast that they can actually catch a flying ball.

If you can catch a ball, you are performing complex calculus instinctively. All we are doing in formal mathematics and data science is putting symbols and a syntax around the same processes you use to catch that ball.

Maybe you’ve spent a lot of your life believing you “can’t” or are “not good at” mathematics, statistics or whatever bugbear of the computational arts is getting to you. These are concepts we begin to internalise at a very early age and often carry them through our lives.

The good news is yes you can. If you can catch that ball (occasionally at least!) then there is a way for you to learn data science and all the things that go with it. It’s just a matter of finding the one that works for you.

Yes you can.