Data analytics may seem daunting, but if you`re an experienced Excel user, you have a unique head start. With this hands-on guide, intermediate Excel users will gain a solid understanding of analytics and the data stack. By the time you complete this book, you`ll be able to conduct exploratory data analysis and hypothesis testing using a programming language.Exploring and testing relationships are core to analytics. By using the tools and frameworks in this book, you`ll be well positioned to continue learning more advanced data analysis techniques. Author George Mount, founder and CEO of Stringfest Analytics, demonstrates key statistical concepts with spreadsheets, then pivots your existing knowledge about data manipulation into R and Python programming.This practical book guides you through:• Foundations of analytics in Excel: Use Excel to test relationships between variables and build compelling demonstrations of important concepts in statistics and analytics• From Excel to R: Cleanly transfer what you`ve learned about working with data from Excel to R• From Excel to Python: Learn how to pivot your Excel data chops into Python and conduct a complete data analysis

尊敬的读者：
欢迎您访问我们的网站。本站的初衷是为大家提供一个共享学习资料、交换知识的平台。每位用户都可以将文件上传至网盘并分享。
然而，随着用户上传的资料增多，我们发现部分不宜或版权问题的书籍被分享到了本站。
为此，我们已经关闭了分享入口，并进行了多次书籍审查，但仍有部分内容未能彻底审查到位。
在此，我们恳请广大读者与我们共同监督，如发现任何不宜内容，请 点击此处 进行举报，我们会第一时间处理并下架相关内容。
希望我们能共建一个文明社区！感谢您的理解与支持！