Importance of microsoft excel for students11/12/2023 ![]() This milestone is the latest in a long history of collaboration and exploration among researchers and product engineers to expand the capabilities of Excel – particularly, moving beyond scalar values (numbers, strings and Booleans) to encompass richer data types and a richer semantic understanding of that data. Having achieved Turing-completeness, it is now theoretically possible to solve any classical computation problem using the application. In fact, Excel recently became Turing-complete with the availability of LAMBDA, which allows users to define new functions written in Excel’s own formula language. In doing so, Excel helped democratize and accelerate the field of data science. ![]() Excel provides ordinary users with tools for deriving insights from data without necessarily needing to learn a complex programming language or data visualization techniques – a particularly important and useful benefit in a world that is awash in data. There are tens of millions of self-described professional and hobbyist developers worldwide: yet hundreds of millions of people use Excel, and many of them use it to build themselves sophisticated tools that go far beyond the original capabilities of a spreadsheet. Not only is Microsoft Excel the world’s most widely used spreadsheet, it could be argued that it is also the world’s most widely used programming language. ![]() David Gainer, Vice President of Product, Office Not only has this allowed the Excel team to deliver innovation that would simply not have been possible otherwise, but it has also put research in a strategic role with material impact on the vision and resultant roadmap for Excel. Simply put, Microsoft researchers are now a core part of the Excel team helping create the product’s future. Microsoft Excel is one of the world’s most important software tools, relied upon by users worldwide to create, understand, model, predict, and collaborate. As the Excel team works to leverage new areas of computer science – advancements in programming languages, NLP, Artificial Intelligence, Machine Learning – they turn to Microsoft Research both to leverage the incredible work done in the organization as well as to help co-create a vision for what Excel should look like years into the future. The Excel team has built multiple long-term relationships with labs in Cambridge, China, and Redmond working in areas across data types, programming languages, analytics, web architecture, and error detection, many of which employ artificial intelligence, natural language processing, and machine learning.
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