eWeek content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More To fully understand digital transformation, it helps to ...

Imagine you’re the captain of a boat moving upstream. Your crew of five struggles to row against the current. You then add a new member to the team. This person jumps into the boat, picks up an oar, ...

These simple operations and others are why NumPy is a building block for statistical analysis with Python. NumPy also makes ...

American football in the USA has long gone beyond the traditional game. Today, it is a sport in which data plays a huge role. In recent years, analytics in the NFL and college football (NCAA) has ...

The FDAP stack brings enhanced data processing capabilities to large volumes of data. Apache Arrow acts as a cross-language development platform for in-memory data, facilitating efficient data ...

Google Sheets is a powerful tool for data analysis, offering a range of functionalities that cater to both beginners and intermediate users. This article aims to guide you through the process of ...

Alongside speech recognition, Watson's cognitive capabilities allow apps to better parse complicated data sets, and are able to "to understand, reason and learn based on deep data analytics." Examples ...

Lee Davis is a tech analyst who has been covering the document imaging industry for over five years. Currently, Lee is the Associate Director of Software and Scanners at Keypoint Intelligence, where ...

Because many of the interesting applications in data analytics are in the field of marketing, Marketing Research is also a foundational course. While this course is technically an elective, students ...

As I covered in my previous article, data blending can uncover really powerful insights that you would not be able to see otherwise. When you start shifting your SEO work to be more data-driven, you ...