Access your Pro+ Content below.
Seven data science lessons from McGraw-Hill Education analytics guru
This article is part of the CIO Decisions issue of September 2014, Vol. 35
Big data analytics is going to the school room. While retailers use analytics to entice buyers to purchase more products, and automobile insurers want to learn more about an individual's driving behavior, educators are also using data science to get closer to their customers. Alfred Essa, vice president of analytics and R&D at McGraw-Hill Education in New York City and a panelist at the recent Useful Business Analytics Summit in Boston, outlined how he and his team are applying analytics to some of education's most persistent challenges. Here's a behind-the-scenes look at how Essa trains data scientists and how his data science team is working to build sustainable and scalable data products. 1. What is the language of data science? Alfred Essa Python and R, two open source programming languages, contend for a top spot on the syllabus, but Essa is a fan of both. Python, which Essa called "the programming language for scientific computing," has been around since the 1980s. One of its most talked about features is its standard ...
Access this PRO+ Content for Free!
By submitting your personal information, you agree that TechTarget and its partners may contact you regarding relevant content, products and special offers.
Features in this issue
CIOs face an age-old dilemma in architecting for big data: Do I buy or build? New business problems, inadequate vendor solutions and myriad new technologies complicate the decision. Add to all that the ambiguity of the term, big data, and well ...
Do CIOs build or buy the technology for big data projects? It's complicated, but the bottom line is, do whatever confers a competitive advantage to the company.
PayPal's technology VP Kirsten Wolberg gives SearchCIO the facts, figures and philosophy behind a 'big bang' move to Agile that changed the way 510 cross-functional teams work. Included in the budget: $2 million to change out the furniture.
What programming language should every data scientist know? How should data scientists be trained? Why do you need more women on your team? McGraw-Hill Education's Alfred Essa answers those questions and more.
News in this issue
For Robert Jimenez, a modest investment in cloud security software paved the way for IT innovation.
Will the Internet of Things bring Cybergeddon upon us? Let's hope not, but the IoT age has arrived and CIOs should be thinking about how to protect it, say security experts from IBM and Intel.
Columns in this issue
Big data is a term that's readily bandied about by marketers, but enterprises undertaking their own information architecture implementation need to know exactly what's meant by big data before proceeding.