Analytics | News, analysis, features, how-tos, and videos
Most data scientists spend only 20 percent of their time on actual data analysis and 80 percent of their time finding, cleaning, and reorganizing huge amounts of data, which is an inefficient data strategy
The open source notebook for analytics and visualization is highly capable. Here’s how to get it up and running in Amazon’s EC2
Tweaking machine learning algorithms and models won't always be for experts only, thanks to these cutting-edge projects
Career opportunities are bright for software engineering students, and skills that will be critical to their success include AI, machine learning, and open source expertise
When developers and data scientists work together, the benefits abound
For enterprises both large and small, it’s important to have a strategy in place to better serve customers using collected information
In-memory computing offers speed and scalability for digital transformation initiatives
Iteration is key to success. There is simply no way you can open a dataset and know, ahead of that exploration, how best to display it
You don’t need to be a data scientist to do machine learning, but you do need data skills. Start with these
Domo delivers on data sources and visualizations, but is harder to use and overpriced compared to Tableau, Qlik Sense, and Microsoft Power BI