Zac Garland, Director of Econometrics & Data Science at Mastercard Economics Institute, speaks passionately about the importance of open source and code-based approaches to data science.
A few snippets:
7:00 - The importance of open source
9:20 - The idea of "inner source" and how we use this to talk about open-source
18:08 - How to measure which model is best
32:27 - Measuring Success in data science
35:44 - Leveraging team skills regardless of technology
37:46 - Benefits of code-based data science
An audience-led conversation held on Zoom focused on data science leadership that is open to all every Thursday at 12 ET. You can check out the recordings on this site as well! Learn more on the About DSH page here:https://www.rstudio.com/data-science-hangout/about
You don't have to register to join. You can add the event to your own calendar here:https://www.addevent.com/event/Qv9211919
There are three ways to ask questions during a live session:
All of the recordings from past sessions are shared here:https://www.rstudio.com/data-science-hangout/live-calls
That's up to you. The host, Rachael usually opens up the discussion by asking the featured leader what they are most excited about in data science currently, and then we turn the questions over to the audience. Here are a few examples of questions that have come up before:
What is the divide between a business analyst and a data scientist?
What is the most unique problem you've had to solve in your industry?
My leaders refer to our BI tools when asked about data science, do you consider BI data science? Why/why not?
Did you always have managing skills/people skills, or did you have to learn them?
Could you define levels of data science maturity for companies?