I think it's imperative that as many people know about how to handle their own personal data, as well as how to handle data within their own domain. I think every domain uses data in some aspect. Either you're collecting it, either you're manipulating it, or you're using it. It doesn't matter what discipline you're in. You need to know how to manage it.
You need to know when you have enough data to make sound decision. You need to know when you don't have enough data to make sound decisions. You have to know how to ask questions. It's about being curious. It's about trying to understand what that data is trying to tell you, not what you're trying to force the data to tell you.--Brandeis Marshall, Associate Professor of Computer Science at Spelman College
Now as I lean closer to applied data science in my educational and professional experience, I am more often than not, assuming an exploratory role. Ground zero is now formulating a question and discovering if we have the data to answer.
Simple statistics can tell you the shape of your data, variance, correlations, clusters--and provide a visual of where to go next.
Inspiration is cheap, but rigor is expensive. And if you are not willing to pay up, don't expect that there is some magical formula that's going to give it to you.--Cassie Kozyrkov
The conversation from Data Framed actually estimated 10s of thousands of dollars and two-week bootcamps running from 9 to 5 every day. Not exactly what I would consider true "access" for those of us wanting to skill up.
How do you formulate questions, identify proper data sets, access, collect, manipulate, use and operationalize?
What are the outcomes you hope to measure? How should they be measured? Can they be measured accurately? What are the best types of survey questions? How do I analyze the data?
Register at the link Continuing Medical Education: change isn't necessary, survival is not mandatory.
Folks that have already registered have received instruction on downloading open source software, a free coupon to background resources and a few introductory sample sets to manipulate before the April 11th workshop date.
Stay tuned for archived workshops in data governance, Python for healthcare, R programming for journalists, and a wide variety of topics requested by you...