by Angela Guess Jessica Davis recently wrote in InformationWeek, “Women made up 27% of people employed in computer and mathematical occupations in 1960. But instead of growing over several decades, as many more women participated in the workforce overall, that number had declined to 26% by 2013, according to a 2015 analysis of US Census […]
What Hiring Managers Need to Understand About Data Scientists
by Angela Guess Michael Li recently wrote in Entrepreneur.com, “At The Data Incubator, I’ve spoken to hundreds of employers looking to hire data scientists — particularly those with advanced degrees. With all the hype surrounding big data these days, it’s unsurprising that there’s as much misinformation floating around as there are facts. Unfortunately, hiring managers […]
A Guide to Python and R: When to Use Which for What
by Angela Guess Roger Huang recently wrote in The Next Web, “At Springboard, we pair mentors with learners in data science. We often get questions about whether to use Python or R – and we’ve come to a conclusion thanks to insight from our community of mentors and learners. Data science is the sexiest job […]
Data Science, Job Matchmaking, and Diversity
by Angela Guess Tom Foremski recently wrote in ZDnet, “Romantic relationships, and a person’s relationship with their work, would seem to be too distant and the experience too different to be comparable, yet eHarmony believes its success with the lonely can be put to use to make happier workplaces, and match people with jobs they […]
How to Be a Data Scientist: Data Science Skill Development
To the wide business community, a Data Scientist is one of those “data magicians,” who can acquire disparate data masses from diverse business functions; clean, massage, organize, and prepare the data; and, then exploit their inherent skills in mathematics, statistics, and Machine Learning to uncover hidden business insights and intelligence. The data used by a […]
Web-Scraping for Data Science – Part 1
Click to learn more about Steve Miller. Scraping data from the web is a task that’s essential to the data scientist’s hacking portfolio. The complexity of work ranges from sophisticated crawling that mandates understanding the structure of dynamic web pages along with command of css and/or xpath, to the more mundane “just grabbing a table […]
Why Data Storytelling is an Essential Data Science Skill
by Angela Guess Brent Dykes recently wrote in Forbes, “Once your business has started collecting and combining all kinds of data, the next elusive step is to extract value from it… As data becomes increasingly ubiquitous, companies are desperately searching for talent with these data skills. LinkedIn recently reported data analysis is one of the […]
Toyota Launches Toyota Connected, New Data Science Unit
by Angela Guess Larry Dignan reports in ZDnet, “Toyota said it will launch a separate unit called Toyota Connected to focus on user experience, product development and data science via Microsoft’s Azure cloud platform. The move comes as many automakers are forming units to focus on mobility services, technology applications, analytics and services. In March, […]
Is Data Science Better as a Team Sport?
by Angela Guess Alex Woodie recently wrote in Datanami, “Shakespeare once pondered the nature of names, pointing out that ‘a rose by any other name would smell as sweet.’ For data scientists, the meaning behind the title is not just an epistemological exercise, but a practical problem that has consequences upon that delicate dance between […]
Data Science Education at Rutgers: A Business-Oriented Approach
Most students who study Data Science probably don’t want to become academics. They want to become working professionals who apply their analytical skills to solving real business problems. The professional master’s degree offered at Rutgers University, a Master of Business and Science in Analytics and Data Science, emphasizes both business studies and Data Science education […]