Spreadsheets are still useful, but if you do a lot of work with numbers, you'll realize that they have limitations.

Visualize and interpret climate anomalies using statistical analysis. Use APIs to import climate data from government portals. Visualize data in Python with matplotlib. In this module, we'll start ...

Jupyter is a way of creating interactive notebooks that blend text, graphics, and code. This is a unique form of programming.

Overview: Statistical analysts turn varied datasets into clear insights that support decisions across sectors.Strong skills ...

Still using Excel for your data analysis? Learn how to leverage Python so you can work with larger datasets and automate repetitive tasks. Learning to code, whether with Python, JavaScript, or another ...

Time series graphs are intuitive, helping you relate a metric to time. Marketing analysts are often faced with choosing a data visualization that speaks to managers and colleagues interested in ...

The Center for Statistics and Advanced Analytics provides support to Boston College researchers related to the collection and the analysis of data. Our team includes statisticians and other data ...