Overview:  Python and Jupyter offer a simple, powerful setup for beginner-friendly data science learning. Real-world datasets ...

The digital transformation consultants have sold you a lie. They've convinced executives everywhere that before you can even think about AI, you need to embark on a months-long (or years-long) data ...

LONDON-UBS has created a data quality and remediation group to control and improve client and account data quality for the investment bank, according to London-based Karen Broadbent, head of data ...

Today’s businesses understand the power of data. It surrounds every aspect of their operations from marketing and sales to new product design, and even the onboarding of new employees. Captur­ing, ...

Imagine this: you’ve just received a dataset for an urgent project. At first glance, it’s a mess—duplicate entries, missing values, inconsistent formats, and columns that don’t make sense. You know ...

“Without big data analytics, companies are blind and deaf, wandering out onto the Web like deer on a freeway.” I love this quote from organizational theorist Geoffrey Moore because of the implications ...

If you’ve ever found yourself staring at a messy spreadsheet of survey data, wondering how to make sense of it all, you’re not alone. From split headers to inconsistent blanks, the challenges of ...

The digital transformation consultants have sold you a lie. They've convinced executives everywhere that before you can even think about AI, you need to embark on a months-long (or years-long) data ...

The world runs on data. A hallmark of successful businesses is their ability to use quality facts and figures to their advantage. Unfortunately, data rarely arrives ready to use. Instead, businesses ...

85% of big data projects fail, but your developers can help yours succeed Your email has been sent A year ago, Gartner estimated that 60% of big data projects fail. As bad as that sounds, the reality ...