In psychology, data is everything. Without data, it’s difficult to quantify findings that lead to more effective care and positive outcomes. Making data actionable requires the insights of a savvy psychologist with a background in data science who can help others understand what data is truly saying about human behavior—and what it could mean going forward. [Read more…]
Picture this: The bases are loaded at the bottom of the ninth inning. A batter steps up to the plate, scuffs his sneakers against the mud-caked marker that signals home, and glares at the pitcher’s mound. The crowd roars as the pitcher nods to the catcher and winds up for the throw. In the blink of an eye, the fastball slices through the air at nearly 90 miles per hour. Will the batter get a hit and enable at least one run? Or will he miss and disappoint his team? [Read more…]
“If you’re navigating a dense information jungle, coming across a beautiful graphic or a lovely data visualization—it’s a relief. It’s like coming across a clearing.”
Renowned data journalist David McCandless said this. His work will pop up several times in this post, and for good reason. His data visualizations are among the best, like candy for the eyes and the brain. (WARNING: You could kill several hours looking through his website, Information Is Beautiful.)
A great data graphic can change the way we see the world. To demonstrate how creative and investigative—as well as illuminating—data science can be, we selected nine of the most fascinating data visualizations on the web. [Read more…]
Did you miss our free webinar on March 30? Worry not. You can view it here right now, or anytime!
In this 60-minute webinar, University of Wisconsin Data Science Professor Lyna Matesi interviewed Zach Gemignani, co-author of the book, Data Fluency: Empowering Your Organization with Effective Data Communication.
Zach is the co-founder and CEO of Juice Analytics, a company that helps organizations display, communicate, and act on their data in exciting and easy-to-understand ways. Zach and his brother, Chris, co-authored Data Fluency, which Dr. Matesi’s students use in her course, DS 735: Communicating About Data.
What: An Interview with Zach Gemignani
When: Wednesday, March 30, 5 to 6 p.m. U.S. Central Time
Where: Click here to view the recorded webinar
How often do you get to hear from a true data science celebrity?
You will soon have your chance!
On Wednesday, March 30, University of Wisconsin Data Science Professor Lyna Matesi will host a FREE webinar in which she will interview Zach Gemignani, co-author of the book, Data Fluency: Empowering Your Organization with Effective Data Communication.
Dr. Matesi teaches the course, DS 735: Communicating About Data, which prepares students to master technical, informational, and persuasive communication to meet organizational goals. Zach is the co-founder and CEO of Juice Analytics, a company that helps organizations display, communicate, and act on their data in exciting and easy-to-understand ways. Zach and his brother, Chris, co-authored Data Fluency, which Dr. Matesi’s students use in her course. [Read more…]
As a data scientist (or aspiring data scientist!), it’s important to keep up with the latest technology news. But that doesn’t mean we can’t have a little fun, right?
Following are links to some of our favorite data-science-related news stories of the New Year, covering topics from the evolution of smiling to statistical analysis in sports and yet more evidence that data science is the hot field today.
Share these articles with colleagues and friends, or simply enjoy them yourself. Happy reading!
Missy Wittmann, enterprise data strategist at American Family Insurance, shares her thoughts on big data, the challenges facing data managers, and what makes the new University of Wisconsin Data Science program unique.
The field of data science is exploding as fast as the world is creating data. But what is behind this growth, and what does it mean for business? To find out, we spoke with Missy Wittmann, a data management leader and evangelist for more than 20 years. In this exclusive interview, Ms. Wittmann talks about her experiences, her influences, and her advice for those considering a career in data science.
Please tell us about yourself and your background.
Certainly! My name is Missy Wittmann and I serve as enterprise data strategist at American Family Insurance. I am also president of the Wisconsin Data Management Association (DAMA) Chapter and vice president of Chapter Services for DAMA International.
I have worked in data management for 20 years. You could say it’s a passion of mine!
What kinds of salaries do data science professionals make? What software tools and programming languages do they use? In what parts of the country (and world) do they live and work?
Find out in the 2015 Data Science Salary Survey from O’Reilly Media.
From November 2014 to July 2015, O’Reilly surveyed more than 600 data science professionals from 47 countries and 38 states across multiple industries.
Here is a sneak peek at what they found:
Last week, the UW Master of Science in Data Science program announced the arrival of new program manager Dave Summers. A data-driven professional with hands-on experience in the field, Dave will lead University of Wisconsin faculty and staff in their efforts to teach and prepare the next generation of data scientists for career success.
Dave brings to the UW Data Science program years of analytics industry experience with leading companies. He earned his bachelor’s degree—a concentration in data analysis and research through the sociology department—from UW-Madison and is currently pursuing his master’s degree in predictive analytics.
Java. Python. C++. Ruby. No matter which of the programming languages you favor, they’re all just tools. Which one you use depends on what it is you want to do.
But popularity contests are always fun, whether ranking the best sci-fi movies of all time (I’m looking at you, 2001: A Space Odyssey), or classic personal computers (Radio Shack TRS-80, anyone?).
And so, for the second year in a row, IEEE Spectrum has partnered with computational journalist Nick Diakopoulos to rank the most popular programmming languages used in data science and other areas today.