It’s not for big data, but you can use Microsoft Excel to learn a lot more about analytics than you may realize. For many office workers, Microsoft Excel is simply the go-to spreadsheet application.

Uncover the hidden pitfalls of Excel regression and learn why Python is the key to unlocking clean, efficient data analysis.

Overview Excel remains a core tool for data analysts, and a small set of functions can handle most tasks related to lookups, ...

In the fast-paced world of financial services, data analysis plays a crucial role in solving complex business problems and extracting valuable insights. Excel, a powerful and versatile tool, has ...

Unlock deeper analytical capabilities by integrating BQL, Bloomberg’s most advanced data API,  with Python via the BQL Object Model. This session will feature practical demonstrations, code examples, ...

When you perform regression analysis in Microsoft Excel, you are engaging in a statistical process that helps you understand the relationship between variables. This technique is particularly useful ...

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If you’re decent in Python (or aspire to be) but don’t have the chops for advanced data work in Excel, Microsoft now offers the kind of peanut butter-and-chocolate combination that you may consider a ...

Does Excel still have a place in analytics efforts? Let's look at the pros and cons of using the old workhorse, the spreadsheet. Business leaders love reliability. It's essential for delivering ...

Compare the best free Microsoft Excel alternatives for 2026, including features, pricing, pros and cons, and use cases for ...