通过从Excel中的简单描述性统计到使用Python编程语言的复杂预测分析的飞跃，加速您的营销计划。关键特性:在销售和营销环境中使用数据分析和机器学习。从数据中获得洞察，从而做出更好的业务决策。通过本实用的商业数据科学指南，释放数据的力量，以达到您的营销目标。本书将帮助您开始成为使用Python的营销分析大师的旅程。您将使用相关数据集，并通过处理模拟现实世界市场分析项目的迷人练习和活动来建立您的实践技能。您将学习像数据科学家一样思考，建立解决问题的技能，并发现如何以新的方式查看数据，以交付业务见解并做出智能的数据驱动决策。除了学习如何清理、探索和可视化数据，您还将实现机器学习算法并建立模型来进行预测。在阅读本书的过程中，您将使用Python工具来分析销售、可视化广告数据、预测收入、解决客户流失问题并实现客户细分以理解行为。在本书结束时，您将拥有实施数据科学和机器学习技术的知识、技能和信心，以更好地理解您的营销数据并改进您的决策。你将学到的:负载,干净, and explore sales and marketing data using pandas Form and test hypotheses using real data sets and analytics tools Visualize patterns in customer behavior using Matplotlib Use advanced machine learning models like random forest and SVM Use various unsupervised learning algorithms for customer segmentation Use supervised learning techniques for sales prediction Evaluate and compare different models to get the best outcomes Optimize models with hyperparameter tuning and SMOTE Who this book is for: This marketing book is for anyone who wants to learn how to use Python for cutting-edge marketing analytics. Whether you're a developer who wants to move into marketing, or a marketing analyst who wants to learn more sophisticated tools and techniques, this book will get you on the right path. Basic prior knowledge of Python and experience working with data will help you access this book more easily.
使用SAS的实用业务分析:一个实践指南向SAS用户和业务人员展示如何在真实的业务场景中有效地分析数据。本书开始介绍分析、分析工具和SAS编程。作者(包括SAS、统计、分析和大数据专家)首先展示了SAS如何在业务中使用，然后介绍了如何通过导入数据和学习如何操作数据来开始在SAS中编程。除了演示SAS基本函数之外，您还将了解如何使用每个函数来获取提高业务性能所需的信息。每一章都提供了来自真实商业情况的实践练习。这本书然后提供了统计的概述，以及关于探索数据的指导，为分析做准备，并测试假设。您将学习如何使用SAS执行分析和建模，使用基本和高级技术，如多元回归、逻辑回归和时间序列分析等主题。本书最后有一章是关于分析大数据的。来自银行和其他行业的例证使这些原则和方法变得栩栩如生。读者将找到足够的理论来理解实际的例子和案例研究，涵盖所有行业。 Written for a corporate IT and programming audience that wants to upgrade skills or enter the analytics field, this book includes: More than 200 examples and exercises, including code and datasets for practice. Relevant examples for all industries. Case studies that show how to use SAS analytics to identify opportunities, solve complicated problems, and chart a course. Practical Business Analytics Using SAS: A Hands-on Guide gives you the tools you need to gain insight into the data at your fingertips, predict business conditions for better planning, and make excellent decisions. Whether you are in retail, finance, healthcare, manufacturing, government, or any other industry, this book will help your organization increase revenue, drive down costs, improve marketing, and satisfy customers better than ever before.