Data Analytics with Python: Data Analytics in Python Using Pandas

Title:Data Analytics with Python: Data Analytics in Python Using Pandas
Format:Kobo ebook
Release Finelybook 出版日期:October 22, 2019
Publisher Finelybook 出版社:​Frank Millstein
Language 语言:English
Appropriate for ages:All ages
ISBN - 13: 9781393614500


Book Description
ABOUT
Data is the foundation of this digital age that we live in. With this book, you are going to learn how to organize and analyze data and how to interpret vast sources of information. This book covers various topics on data analytics such as data analytics applications, data analytics process, using Python for data analytics, Python libraries for data analytics and many other that will help you kick-start your data analytics journey from the very beginning.In this book you are going to learn how to use Python its tools in order to interpret data and examine those interesting data trends and information, which are important in predicting the future. Whether you are dealing with some medical data, sales data, web page data, you can use Python in order to interpret data, analyze it and obtain this valuable information.

You can also use this data for creating data analytics models and predictions.

Here Is A Brief Preview of What You'll Learn In This Book…

Data analytics applications
Data analytics process
How to install and run Python
Python data structures and Python libraries
Python conditional construct and iteration
Data exploration using Pandas
Pandas series and dataframes
Data munging and distribution analysis
Carrying out binary operations
Data manipulation and categorical variable analysis
How to build a predictive model
And of course much, much more!
Get this book NOW and learn more about Data Analytics With Python!

下载地址 Download
普通下载(限速)
访问密码:1024城通网盘
高速下载(不限速)
隐藏内容需1积分,VIP免费,请先 !没有帐号? 注 册 一个!
觉得文章有用就打赏一下
未经允许不得转载:finelybook » Data Analytics with Python: Data Analytics in Python Using Pandas

评论 抢沙发

  • 昵称 (必填)
  • 邮箱 (必填)
  • 网址

觉得文章有用就打赏一下

非常感谢你的打赏,我们将继续给力更多优质内容,让我们一起创建更加美好的网络世界!

支付宝扫一扫打赏

微信扫一扫打赏