Data analytics :[become a master in ...
Dorsey, Richard.

 

  • Data analytics :[become a master in data analytics] /
  • 紀錄類型: 書目-語言資料,印刷品 : Monograph/item
    杜威分類號: 658.403
    書名/作者: Data analytics : : [become a master in data analytics] // written by Richard Dorsey.
    作者: Dorsey, Richard.
    出版者: [Lavergne, TN : : CreateSpace],, c2017.
    面頁冊數: 67 p. ;; 23 cm.
    附註: Subtitle from cover.
    標題: Business intelligence.
    標題: Big data - Statistical methods.
    ISBN: 9781547089291 (pbk.) :
    內容註: Introduction -- The basics of data analytics -- Terms you want to know -- Challenges for data analytics -- Risk for data analytics -- The different types of data analytics -- Benefits of data analytics -- Techniques to use with data analytics -- The decision tree -- Real world examples of data analytics -- Conducting data analytics for business.
    摘要、提要註: "Analyzing data is not easy, due to the fact that you have to figure out which type of data analytics you are going to use, as well as defeat the challenges that you will come up against when it comes to analyzing data.With this book, it is our goal to show you the easiest way to work with data analytics and how you are going to avoid some of the challenges and risks that you will be putting yourself up against when you are working with data.You will realize that analyzing data is not the easiest thing in the world. However, it is going to get easier the more that you practice. Just guarantee that you are taking the time to practice and do not put too much pressure on yourself.In this book, you are going to learn:The risks of data analyticsThe types of data analytics that are out there in the worldWhat the decision tree isThe benefits of using data analyticsReal world examples that will show you how you are going to be able to take this knowledge and apply it to your everyday life.Data analysis happens no matter what line of work you are in, and it is my hope that with this book, you are able to learn everything that pushes you further in your knowledge of data analysis!"--
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