O’Reilly’s Strata 2011 Conference is coming soon, and O’Reilly has updated their site with a great interview with LinkedIn Senior Scientist Pete Skomoroch. A short 4-minute video, he discusses important skills every data scientist needs ranging from statistics to knowledge of external API’s.
The first skill, as you might expect, is a base in statistics, algorithms, machine learning, and mathematics. “You need to have a solid grounding in those principles to actually extract signals from this data and build things with it,” Skomoroch said.
Second, a good data scientist is handy with a collection of open-source tools — Hadoop, Java, Python, among others. Knowing when to use those tools, and how to code, are prerequisites.
The third set of skills focus on making products real and making data available to users. “That might mean data visualization, building web prototypes, using external APIs, and integrating with other services,” Skomoroch said. In other words, this one’s a combination of coding skills, an ability to see where data can add value, and collaborating with teams to make these products a reality.
More video! More mobile! More drones! Mary Meeker’s 2015 Internet Trends
What in the world is the internet thinking about? (INFOGRAPHIC)
Digital watercolor app that drips as you paint: that’s Rebelle
How Jurassic Park’s T-Rex Animator Spaz Williams changed moviemaking with CGI (INTERVIEW)
The LeanUXNYC 2015 conference: going wider than Lean
What’s inside the Apple Watch?
Millennial-Mobile “How-To” Searches Explode On YouTube
We cover news for and from visual thinkers of all kinds. Topics range from graphics, media, design, innovation and visual storytelling to the hardware and technology that makes it all possible.
Read more on our About Page or learn about our Advertising Options
Get updates via twitter from @VizWorld.