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?
The University of Wisconsin Master of Science in Data Science blog team will be exploring how data science complements various professional backgrounds in the Can I Be a Data Scientist? blog series. We’re excited to bring the world of data science to people who might not otherwise seek it.
You’re in the health information field, but you want to expand on your expertise or explore other fields… Are you the type to geek out over numbers, equations, and statistics? Do you frequently question existing assumptions and processes? If the answer to either or both of these questions is ‘yes,’ then data science—an interdisciplinary field that focuses on the use of data to inform decisions and make new discoveries—may be a good fit for you.
Navigating the complex world of a data science degree requires that students have two things at their fingertips: 1) key concepts and knowledge about data analytics and 2) instant access to the latest technology—powerful tools including SQL Server, R, Python, Tableau, and more. The University of Wisconsin’s online Data Science master’s degree program offers students convenient access to both.
According to David Summers, program manager for UW Data Science, “We know our students are busy professionals from a variety of fast-paced industries. They don’t have time to make a special trip to a campus computer lab like a traditional student. For their benefit, we offer the Virtual Desktop—a cloud-based source for all the necessary program software. One simple login provides access to every software, application, and program our students will need to earn their data science degrees. No downloads, no installations, no multiple logins—and no recurring cost. They have access to every tool they’ll need to master any assignment in our curriculum.”
Whether you’re new to data science and taking in all the…well, data…you can find or you’re a seasoned professional who loves diving into the endless niches in the field, data science blogs can be a valuable resource. But the internet is teeming with content wormholes that run the gamut from questionable to laughable—how do you choose the blogs worth your time?
This list, compiled of recommendations from experts that work on the University of Wisconsin Data Science master’s program, the ever-intrepid Quora.com contributors, and our own favorite data science resources, will give you a stepping-off point for some great informational, entertaining content.
“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.
Wake up. Let the dog out. Drop the kids off at school. Work from nine to six. Pick the kids up from practice. Go to the gym. Get dinner on the table. Clean up. Their schoolwork.[Your schoolwork.] Orchestrate bedtime. Sleep. Repeat.
Is earning a degree or certificate actually realistic for a fast-paced life like yours?
Yes, absolutely. No matter what your daily schedule involves.
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.
Spring has sprung… and so has summer registration!
We know, we know. Thinking about next semester is a tall order. But whatever your plans for summer—camping, gardening, or taking a family vacation—online University of Wisconsin Master of Science in Data Science courses are flexible enough to fit right in with your summer activities, giving you the freedom to study when and where you want while still having time to relax.
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.