Andrew Collier (@DataWookie) is a data omnivore. He grew up in Durban, South Africa and took the long and scenic route via Antarctica and Potchefstroom to a PhD in Physics from the Royal Institute of Technology, Stockholm. After toiling in the ivory towers of academia, he parlayed his skills and experience into Data Science. He doesn’t get to the icy continent any more, but he works on mountains of data and fascinating problems every day. Andrew is an inveterate hacker and runner, happiest either cobbling together tools and data or running over the rolling hills of Natal.
I get a kick out of speaking. I love my work. Teaching is the ideal way of merging the two.
Spending time working on and talking about Data and Data Science with a bunch of like-minded people. Teaching a bit and learning a lot. Running on the mountain. Listening to the fog horn.
I’d like to see a greater emphasis on the “Science” in Data Science. Rigorously applying the scientific method is critical to generating sturdy results and conclusions. The relentless expansion of storage and computing power will mean that a larger set of problems will become tractable.
Students will be able to take a Data Science project from inception to completion. They’ll be able to formulate questions and hypotheses, gather data, analyse the data, build and interpret statistical models and draw meaningful conclusions. Finally they’ll be able to present their results in a way that will make people sit up and take notice.
Use Git, it’s your friend. Get comfortable on the command line.
I’m a hybrid: 50% dairy cow, 50% leatherback turtle.
My lovely wife and daughter. Long runs and short naps. Rolling paths through pine forests. Garlic. Coffee. Red wine. Speaking. Data. Metadata. Version Control. Having the books.