Live Webinar March 13th, 2014 1:00 PM – 2:00 PM EDT
Duration: 1 Hour Credits: 1 PDU Category C Free
Presented by : O’Reilly® Webcasts

Data Science draws heavily on statistics, machine learning and software engineering, but these disciplines aren’t much help for coming up with the right problems to solve.

Thankfully, other people have already given this area much thought.

Whether you are building data products, instrumenting a business, or writing reports, there are useful ideas from other disciplines that will improve your ability to frame problems, scope projects, and communicate complex results.

This webcast examines a framework for incorporating ideas from other fields (like design, argument studies, and consulting) into Data Science.

In the process we will explore a number of ideas, including the four things to figure out before starting any data project and how to use common patterns of argument to refine any idea.

Presenter: Max Shron (LinkedIn profile) is a New York-based data strategist, and author of Thinking with Data: How to Turn Information into Insights. Max provides expertise and mentorship to organizations and spearheads complex projects and provides a critical look at how organizations use data. Max’s work has appeared worldwide, including in the New York Times, Chicago Tribune, Huffington Post and on WNYC.

PDU Category B (PMBOK 5) documentation details:

Process Groups: Planning Executing

Knowledge Areas: 4 – Integration 5 – Scope 6 – Time

• 4.3 Direct and Manage Project Work
• 5.3 Define Scope
• 6.6 Develop Schedule

As a Category C, ‘Self Directed Learning’, activity remember to document your learning experience and its relationship to project management for your ‘PDU Audit Trail Folder.’

Click to register for Thinking with Data