Both humanitarian aid workers and climate researchers are seeking answers in data science; meanwhile, Google is moving in on the enterprise cloud market.
- By Lindsay Stares
- March 21, 2017
Making the transition to self-service analytics can be fraught with challenges. These guidelines will help you start with a strong foundation.
- By Andrew Roman Wells, Kathy Williams Chiang
- March 21, 2017
Using the scientific method to enhance data science, finding the best academic data science programs, and understanding the true costs and benefits of open source.
- By Lindsay Stares
- March 16, 2017
What’s the most eaten candy in the office, how data goals are related to visual organization, and which data visualization trends are more than just pretty pictures.
- By Lindsay Stares
- March 15, 2017
How do you tell a good quantitative story? According to Angela Bassa, it's at once a straightforward enterprise and a methodological minefield.
- By Steve Swoyer
- March 9, 2017
These visualizations demonstrate the effect of shadows on city streets, the difference between tourist and non-tourist photos, and the dangers of extreme photos.
- By Lindsay Stares
- March 8, 2017
Data scientist Claudia Perlich explains why we must use machine learning and predictive technologies ethically, responsibly, and mindfully.
- By Steve Swoyer
- March 8, 2017
In order to use advanced analytics insights, we must identify and control for our biases. In all likelihood, we're going to be surprised by what we find.