In recent years, JupyterLab has rapidly become the tool of choice for data scientists, machine learning (ML) practitioners, and analysts worldwide. This powerful, web-based integrated development ...

In the midst of an artificial intelligence boom that’s reshaping almost every facet of the business world, companies are competing in an arms race to build the best and brightest models and fully ...

Overview: Data analysis software makes sense of large amounts of information quickly.Tools like R, Python, and SPSS simplify research and statistical studies.Vi ...

Have you ever found yourself wrestling with Excel formulas, wishing for a more powerful tool to handle your data? Or maybe you’ve heard the buzz about Python in Excel and wondered if it’s truly the ...

Check the Recommended Coursework Guides and the Data Science Course Catalog for more information. The B.S. in Data Science focuses on providing students with a solid foundation, emphasizing data ...

Did you know that over 80% of AI projects fail? That's twice the failure rate of regular IT projects. A Gartner survey found that only 48% of AI projects make it to production, and it typically takes ...

Last week, Anthropic (which has a $4B investment from Amazon) announced that Claude 3.5 Sonnet now supports data analysis. TechCruch's headline for this capability was "Anthropic's AI can now run and ...

Editor’s note: This is part of a series of stories featuring master’s degree programs at the University of Chicago. Bradley Stoller knew the University of Chicago was an ideal fit to pursue a master’s ...

Both fields are in high demand, pay well, and lead to exciting, future-proof careers. If you're deciding between becoming a data scientist or an AI engineer, the choice often comes down to what ...