The first edition of Data Smart showed how data science doesnt always need Big Data solutions to understand and work with data. When the book came out, the world was still wrestling with how to define Big Data. Today, much of the corporate world has moved beyond understanding data problems through the Big Data lens. However, the same data problems remain. Many people do not fully understand whats happening beneath the algorithms. And they are often mislead into thinking a larger, technology-focused solution will beat what can be done in a simple spreadsheet.Perhaps the single most important distinction in this update will be to show off Excels data science applications. Since the era of the first edition, Microsoft has put in significant effort to place Excel into the data science process. The aim of this update is to also show how Excel can fit into the data science ecosystem using many of its new features while also not competing but rather complementing more dynamic tools, while also attending to data visualization principles as a means of communicating results.  Ultimately, the world still struggles using data the way it did when the first edition came out. While Big Data might be on the way out, its been replaced by an obsession with Artificial Intelligence. But AI isnt easy to implement, and many people still dont understand data science fundamentals. This updated edition will use Excels new features to explain data science (still in a conversational way), introducing readers to complex topics using just Excel as well as introduce readers to AI topics. It will also focus on the top data science problems experienced by todays analysts. Finally, the content of this book will be updated for Windows audiences which reflects the most popular version of the tool.  

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