Python for Data Analysis

Python for Data Analysis

歌林Kolin 定時涼風大廈扇

歌林Kolin 定時涼風大廈扇

涼夏舒適節能提升冷扇效果!

  • 分類:
    英文書自然科普電腦資訊程式語言
    追蹤
    ? 追蹤分類後,您會在第一時間收到分類新品通知。
  • 作者: Andrew,Park 追蹤 ? 追蹤作者後,您會在第一時間收到作者新書通知。
  • 出版社: Ingram 追蹤 ? 追蹤出版社後,您會在第一時間收到出版社新書通知。
  • 出版日:2023/07/24

配送方式

  • 台灣
    • 國內宅配:本島、離島
    • 到店取貨:
      金石堂門市 不限金額免運費
      7-11便利商店 ok便利商店 萊爾富便利商店 全家便利商店
  • 海外
    • 國際快遞:全球
    • 港澳店取:
      ok便利商店 順豐 7-11便利商店

內容簡介

Do you want to know everything about Data science?


This guidebook is going to provide you with all of the information that you need to learn more about data science, what this process is all about, and how you can use the Python language to put it all to work for you !


Even if you have no idea how to program or any idea of what to do with all of that data you have been collecting, this guidebook will give you all of the tools you need to be successful !


There are a lot of different parts that come with data science and being able to put them all together can really help us to do better with helping our customers, finding new products to bring to market, and more.


And with the help of this guidebook, we can hopefully find the best ways to beat out the competition and see the results that will work for us.


It takes some time, and a good data analysis with the right algorithms from Python, but it can be one of the best ways to make some smart and sound decisions for your business.


Working with data science is becoming even more prevalent as the years go on, and businesses all over the world, and in many different industries, are using this to help them see more success.


Whether you want to make predictions, provide better customer service, or learn other valuable insights about your business, data science with the help of Python, can make this happen. When you are ready to see what Python data science can do for your business, make sure to check out this guidebook to get started.


The process of Python data science is not an easy one and learning how to make this work for your needs, and to put all of the parts together can make a big difference in the way that you run your business, and how much success you will see when it comes to your business growing in the future.


When you are ready to learn more about working with Python data science and how to make this work for your business, make sure to check out this guidebook to get started.


There are so many parts that come with a data science project, and we are going to take some time to discuss them all in this guidebook.


We are going to look at some of the basics that come with this data science project, and why it is so beneficial to so many companies to at least check it out and see what it has to offer them.


At the same time, we are also going to explore how to set up your own environment to get started with data science, and some of the best libraries that are out there to help us succeed with the use of data science and Python put together.


This book covers:


What Is Data Science?


How Can I Use Data Science?


The Best Python Libraries for Data Science


Setting Up Your Virtual Environments for Data Science


The Importance of the NumPy Arrays


Gathering and Collecting Your Data


Loading and Preparing Your Dataset


Data Mining


Completing the Data Analysis


How Machine Learning Can Help


How to Work with Data Visualization


Many businesses are able to benefit when they work with data analysis for some of their own needs. It will help them to learn more about their customers, their industry, and so much more. When you are ready to learn more about what data science can do for you and to figure out whether this is a process your business should spend some time on, make sure to check out this guidebook to help you get started.


Order your copies to get your costumers addicted to this book !

詳細資料

詳細資料

    • 語言
    • 英文
    • 裝訂
    • 紙本平裝
    • ISBN
    • 9781088201992
    • 分級
    • 普通級
    • 頁數
    • 0
    • 商品規格
    • 出版地
    • 美國
    • 適讀年齡
    • 全齡適讀
    • 注音
    • 級別

商品評價

訂購/退換貨須知

加入金石堂 LINE 官方帳號『完成綁定』,隨時掌握出貨動態:

加入金石堂LINE官方帳號『完成綁定』,隨時掌握出貨動態
金石堂LINE官方帳號綁定教學

商品運送說明:

  • 本公司所提供的產品配送區域範圍目前僅限台灣本島。注意!收件地址請勿為郵政信箱。
  • 商品將由廠商透過貨運或是郵局寄送。消費者訂購之商品若無法送達,經電話或 E-mail無法聯繫逾三天者,本公司將取消該筆訂單,並且全額退款。
  • 當廠商出貨後,您會收到E-mail出貨通知,您也可透過【訂單查詢】確認出貨情況。
  • 產品顏色可能會因網頁呈現與拍攝關係產生色差,圖片僅供參考,商品依實際供貨樣式為準。
  • 如果是大型商品(如:傢俱、床墊、家電、運動器材等)及需安裝商品,請依商品頁面說明為主。訂單完成收款確認後,出貨廠商將會和您聯繫確認相關配送等細節。
  • 偏遠地區、樓層費及其它加價費用,皆由廠商於約定配送時一併告知,廠商將保留出貨與否的權利。

提醒您!!
金石堂及銀行均不會請您操作ATM! 如接獲電話要求您前往ATM提款機,請不要聽從指示,以免受騙上當!

退換貨須知:

**提醒您,鑑賞期不等於試用期,退回商品須為全新狀態**

  • 依據「消費者保護法」第19條及行政院消費者保護處公告之「通訊交易解除權合理例外情事適用準則」,以下商品購買後,除商品本身有瑕疵外,將不提供7天的猶豫期:
    1. 易於腐敗、保存期限較短或解約時即將逾期。(如:生鮮食品)
    2. 依消費者要求所為之客製化給付。(客製化商品)
    3. 報紙、期刊或雜誌。(含MOOK、外文雜誌)
    4. 經消費者拆封之影音商品或電腦軟體。
    5. 非以有形媒介提供之數位內容或一經提供即為完成之線上服務,經消費者事先同意始提供。(如:電子書、電子雜誌、下載版軟體、虛擬商品…等)
    6. 已拆封之個人衛生用品。(如:內衣褲、刮鬍刀、除毛刀…等)
  • 若非上列種類商品,均享有到貨7天的猶豫期(含例假日)。
  • 辦理退換貨時,商品(組合商品恕無法接受單獨退貨)必須是您收到商品時的原始狀態(包含商品本體、配件、贈品、保證書、所有附隨資料文件及原廠內外包裝…等),請勿直接使用原廠包裝寄送,或於原廠包裝上黏貼紙張或書寫文字。
  • 退回商品若無法回復原狀,將請您負擔回復原狀所需費用,嚴重時將影響您的退貨權益。
金石堂門市 全家便利商店 ok便利商店 萊爾富便利商店 7-11便利商店
World wide