Data literacy is near and dear to us because it provides the foundation needed to use data as a universal language for decision making. This includes being able to read and analyze data and communicate about data effectively. With theQuestion of the Day, you can test your data literacy every weekday, as we publish a brand new question Monday - Friday. With each question answered and explained, you'll begin strengthening your data literacy muscles.
For access, you can visit the site each day or you can sign up to receive the question directly to your inbox. Check out your options here, and give today's question a shot while you're at it!
In February, Metis Sr. Data Scientist Damien Martin wrote a post on how to foster a data literate and empowered workforce, which allows your data science team to then work on projects rather than ad hoc analyses. In this post, he explains how to carefully scope those data science projects for maximum impact and benefit.
Big data is growing exponentially. To keep up with it, data engineering — a discipline focused on collecting, funneling, and organizing big data into accessible data pipelines — is in urgent demand.
Data scientists and other data professionals can fill the gap by extending their capabilities into the world of data engineering with the Data Engineering for Data Scientists Course by Metis Corporate Training. In this course, data science professionals will learn advanced programming, database management, distributed computing, and cloud engineering.