What might you discover if you observed your data in real-time? Listen to Wikipedia, watch global weather, and track the lights on a smart street for some inspiration.
- By Lindsay Stares
- June 21, 2017
We are headed toward a future populated with AI and machine learning, where machines take on more of the work people have traditionally done. What does that mean for the business analytics professional?
- By William McKnight
- June 20, 2017
Data visualizations are a great way to look at movement over time -- whether you’re modeling animals, vehicles, or people.
- By Lindsay Stares
- June 14, 2017
Alternatives to hiring a data scientist, how data science is changing public relations, and free courses to learn about data science.
- By Lindsay Stares
- June 13, 2017
In improving analytics, we often focus on obtaining more powerful platforms and bigger data. We neglect the second half of the equation: the abilities of our business users.
- By William McKnight
- June 12, 2017
Develop compelling infographics, how interactivity can enhance storytelling, and learn to code a chart with D3.
- By Lindsay Stares
- June 7, 2017
MBA programs adding data science classes, Google fights spam with machine learning, and the pros and cons of using machine learning in hiring decisions.
- By Lindsay Stares
- June 6, 2017
When you should start using machine learning technology, a model for internal data science training, and what soft skills data scientists need.
- By Lindsay Stares
- June 1, 2017