Python Data Science: Learn Python in a Week and Master It, 7 Days Crash Course, Book 3

Book Description

Would you like to learn to use Python extracting meaningful insight from data to grow your business but you reckon it will be too complex? Or perhaps you want to know how to analyze data to solve simple domestic issues but you don’t know how to do it?

Here’s the deal… As a beginner you will be probably afraid that programming is difficult… Learning data analysis and data mining can take months, and the possibility to give up before mastering them could be high. So, if you have a project to develop you could think on hiring a professional analyst to shorten the time. This may seem like a good solution but it is certainly very expensive and if the analyst you chose doesn’t perform a proper job you still have to pay for it.

The best solution is a complete programming manual with hands-on projects and practical exercises. Computer Programming Academy structured this guide as a course with seven chapters for seven days and studied special exercises for each section to apply what you learned step-by-step. This protocol, tested on both total beginners and people who were already familiar with coding, takes advantage of the principle of diving, concentrating learning in one week. The result of this method has been one for both categories of students: the content of the course was learned faster and remembered longer respect the average.

Inside this book, you will go through a first section in which fundamental and basic notions of data science are discussed, to get to the next chapters crafted specifically to help you learn all the advance data analysis concepts required to produce valuable outcomes from a large volume of data.

In the detail, you will learn:

• The importance of data science technologies in our daily lives
• What are the most common mistakes to avoid when you start dealing with Python for data science
• The 5 stages of the data science lifecycle at the basis of most used applications
• 3 important actions required to gain insights from big data
• What are the advantages of the data mining process in resolving real world problems
• The data analysis tools that will make your life easier
• 3 key frameworks that you have to know to transform unstructured and unorganized data in significant insight
• How to download and use the main Python based data analysis libraries
• A simple method to implement predictive analytics to resolve a business issue in less than 7 days
• A proven strategy to develop predictive models to analyze customers’ behavior
• Exercises and quizzes at the end of every chapter to review immediately what you’ve learned
• Extra content that you will appreciate as curious technology enthusiast

Why is this book different for? Most of the books on the market only take a brief look into data science, showing some of the topics but never going deep concretely. The best way to learn data analysis and data mining is by doing and with this manual you will work through applicable projects in order to solidify your knowledge and obtain a huge sense of achievement.

This is what this guide offers to you, even if you’re completely new to programming in 2020 or you are looking to widen your skills as programmer.

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中文：

书名：Python数据科学：在一周内学习并掌握它，7天速成课程，第3册

你想学习使用Python吗？从数据中提取有意义的见解想要发展你的业务，但你认为它会太复杂吗？或者你可能想知道怎么做分析数据想要解决简单的国内问题，但你不知道怎么做？

这是一笔交易。作为初学者，你可能会担心编程很难&学习数据分析和数据挖掘可能需要几个月的时间，而且在掌握它们之前放弃的可能性可能很高。因此，如果你有一个项目要开发，你可以考虑聘请一位专业的分析师来缩短时间。这看起来可能是一个很好的解决方案，但它肯定非常昂贵，如果你选择的分析师没有做好适当的工作，你仍然必须为此买单。

最好的解决方案是一本完整的编程手册，其中包括动手项目和实践练习。计算机编程学院我将这本指南组织成一门七章七天的课程，并研究了每一节的特殊练习，以便逐步应用您所学的知识。该协议在所有初学者和已经熟悉编程的人身上进行了测试，利用了潜水的原则，在一周内集中学习。这种方法的结果对两类学生来说都是一样的：课程内容学得更快，记住的时间也更长，尊重平均水平。

Inside this book，您将经历第一部分，其中讨论了数据科学的基本和基本概念，以进入专门为帮助您学习从大量数据中产生有价值结果所需的所有高级数据分析概念而编写的下一章。

在细节上，我们您将了解到：

• 数据科学技术在我们日常生活中的重要性
• 当您开始使用用于数据科学的Python时，需要避免的最常见错误是什么
• 基于最常用应用程序的数据科学生命周期的5个阶段
• 从大数据中获得洞察力所需的3项重要行动
• 在解决现实世界中的问题时，数据挖掘过程有哪些优势
• 让您的生活更轻松的数据分析工具
• 您必须了解的3个关键框架，才能在重要的洞察力中转换非结构化和无组织的数据
• 如何下载和使用主要的基于Python的数据分析库
• 实施预测性分析以在不到7天的时间内解决业务问题的简单方法
• 开发预测模型以分析客户行为的成熟战略
• 每章末尾都有练习和测验，以便立即复习你所学到的内容
• 作为好奇的技术爱好者，您会欣赏的额外内容

这本书有什么不同？市场上的大多数书籍只对数据科学进行了简要的介绍，展示了一些主题，但从来没有具体深入。学习数据分析和数据挖掘的最好方法是实践，使用本手册，您将完成适用的项目，以巩固您的知识并获得巨大的成就感。

This is what this guide offers to you，即使你对2020年的编程完全陌生，或者你正在寻求扩大你作为程序员的技能。

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向上滚动到页面顶部，然后选择立即购买按钮。成为一名Python大师的关键是一键之遥！