DATA SCIENCE WITH PYTHON: Complete Guide To Understanding Data Analytics And Data Science With Python Programming

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DATA SCIENCE WITH PYTHON: Complete Guide To Understanding Data Analytics And Data Science With Python Programming
 

  • Author:Craig Berg
  • Length: 114 pages
  • Edition: 1
  • Publication Date: 2020-06-16
  • ISBN-10: B08BCBF6WF
  • Sales Rank: #373143 (See Top 100 Books)
  • Download:Register/Login to Download
  • Buy Print:Buy from amazon


    Book Description

    You Are About To Venture Into The World Of Data Science With Confidence By Learning The Ins And Outs Of Data Science With Python!

    Are you a practicing or aspiring data scientist who’s been wondering;

    What’s the best language for a data scientist’s rigorous work?

    Is there one that is also easy to understand and learn, and easy to use for the less technically-inclined person?

    …and one that also builds better analytics tools?

    If you’ve been having those questions, you’ve clearly been looking for Python.

    Individual data scientists and data science consulting companies are increasingly adopting Python as a programming language of choice, as they realize its amazing features like large sets of libraries and unique capabilities in handling big data. The fact that it’ also a language that you can easily integrate with other programming languages, and it’s easily scalable and future-oriented makes it particularly valuable and practical for data science.

    As a new data scientist, you’d find it easy to use it because of its simple syntax, excellent readability and its increased availability of mining tools that make it easy to handle data.

    But how would you get started with it?

    How do you work with it?

    How do you set it up?

    If you still have such questions, then this book is all you need. It gives you the ins and outs of python as a data science solution, including how you can set it up, use it and what you need to get started.

    Here’s a bit of what you can expect to learn from it:

    • What data science is and why we need to learn and apply it in daily life
    • The different types of data scientists we have
    • The requirement and tools for data science
    • The difference between data science and business intelligence
    • The lifecycle of data science
    • The components of data science
    • How data science is being used today
    • How to set up the Python environment in Linux, Mac and Windows
    • How the Anaconda environment looks and works
    • Basic Python concepts to refresh your mind
    • How to work with Python for data analysis
    • How to work out data visualization with Matplotlib and Seaborn

    …And much more!

    Are you ready to enjoy data science more by achieving better insight, understanding patterns and correlating data from big datasets?

    Do you want to be able to develop machine learning models, web services, data mining, classification and so much more, while solving problems end to end effortlessly and within an incredibly short duration?

    If you do, then this simple, straightforward and comprehensive beginners’ book will help you get there in just a few hours!

    Even if the concept of data science seems too complex and out there right now, this book will break the topic using simple, straightforward language that you can start using right away to your advantage!

    Scroll up and click Buy Now With 1-Click or Buy Now to get started!

    中文:

    书名:DATA SCIENCE WITH PYTHON: Complete Guide To Understanding Data Analytics And Data Science With Python Programming

    通过使用Python学习数据科学的细节,您将满怀信心地涉足数据科学世界!

    你是一名实习的或有抱负的数据科学家,一直在想;

    对于数据科学家的严谨工作,最好的语言是什么?

    有没有一种同样易于理解和学习,并易于使用的技术倾向较低的人?

    …而且还能构建更好的分析工具?

    如果您一直有这些问题,那么您显然一直在寻找Python。

    个人数据科学家和数据科学咨询公司越来越多地采用Python作为编程语言的选择,因为他们意识到它的惊人特性,如大量的库和处理大数据的独特能力。事实上,它也是一种可以很容易地与其他编程语言集成的语言,而且它很容易扩展,并且面向未来,这使得它对数据科学特别有价值和实用。

    作为一名新的数据科学家,您会发现它很容易使用,因为它的语法简单,可读性很好,而且它增加了挖掘工具的可用性,从而使处理数据变得容易。

    但你将如何开始使用它呢?

    How do you work with it?

    How do you set it up?

    如果你还有这样的问题,那么这本书就是你所需要的。它向您介绍了作为数据科学解决方案的Python的详细情况,包括如何设置、使用它,以及开始使用它需要做什么。

    以下是你可以从中学到的一点东西:

    • 什么是数据科学,为什么我们需要在日常生活中学习和应用它
    • 我们拥有的不同类型的数据科学家
    • 数据科学的要求和工具
    • 数据科学和商业智能之间的区别
    • The lifecycle of data science
    • The components of data science
    • 当今数据科学是如何被使用的
    • 如何在Linux、Mac和Windows中设置Python环境
    • How the Anaconda environment looks and works
    • 让您耳目一新的基本Python概念
    • 如何使用Python进行数据分析
    • 如何利用Matplotlib和Seborn实现数据可视化

    …还有更多!

    您是否准备好通过更好地洞察、了解模式和关联来自大数据集中的数据来更好地享受数据科学?

    您希望能够开发机器学习模型、Web服务、数据挖掘、分类等等,同时毫不费力地在令人难以置信的短时间内解决问题吗?

    如果你这样做了,那么这本简单、直截了当、全面的初学者书籍将帮助你在几个小时内到达那里!

    尽管数据科学的概念现在看起来太复杂了,但这本书将用简单、直截了当的语言打破这个主题,你可以立即开始使用对你有利的语言!

    Scroll up and click 通过1次点击立即购买♪或或现在就买开始吧!

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