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所在平台: Udemy |
课程主页: https://www.udemy.com/course/predictive-customer-analytics/
课程评论：没有评论
课程名称：预测客户分析 概述：如果你是一名希望通过数据驱动决策来影响客户行为和保留率的数据分析师或商业专业人士，且想利用Excel构建无需复杂编码的预测模型，那么这个课程正是为你而设。在当今竞争激烈的市场中，理解客户行为是商业成功的关键。预测客户分析课程帮助你保持竞争优势，通过预测客户决策、提高客户保留率和推动针对性营销策略，增强商业决策能力。该课程将使你能够使用Excel这一强大工具构建预测机器学习模型和预测技术，即使你不是数据科学专家。 在本课程中，你将： - 发展对Excel中线性和逻辑回归技术的扎实理解，以预测客户行为。 - 掌握客户细分的聚类技术，识别客户群体中的关键群体。 - 使用Excel的求解器和时间序列方法构建销售预测模型。 - 通过案例研究实现实际解决方案，例如预测客户流失和细分客户以制定更好的营销策略。 为什么预测客户分析如此重要？通过使用大多数专业人士已经熟悉的Excel工具，你能够深入挖掘客户数据，优化决策过程，而无需高级技术技能。从销售趋势预测到关键客户保留，预测分析为寻求扩展和发展的企业带来了重大变革。 在整个课程中，你将完成Excel中的实践练习，包括： - 为线性和逻辑回归预处理客户数据 - 使用XLSTAT和Excel宏构建预测模型 - 对客户数据进行聚类以进行细分分析 - 实施时间序列预测以预测销售 本课程的独特之处在于其关注实际、易于实施的技巧，且无需编程知识。你将学习如何利用Excel的高级功能，迅速获得准确、可操作的结果。 准备好转变你的客户洞察力吗？今天就注册，开始在Excel中构建你自己的预测模型！
Are you an aspiring data analyst or business professional looking to make data-driven decisions that impact customer behavior and retention? Do you want to leverage Excel to build predictive models without the complexity of advanced coding? If yes, this course is for you.In today's competitive market, understanding customer behavior is key to business success. Predictive Customer Analytics helps you stay ahead by forecasting customer decisions, improving retention, and driving targeted marketing strategies. This course will empower you to use Excel as a powerful tool for building predictive machine learning models and forecasting techniques, even if you're not an expert in data science.In this course, you will:Develop a solid understanding of linear and logistic regression techniques in Excel to predict customer behavior.Master clustering techniques for customer segmentation, identifying key groups within your customer base.Build sales forecasting models using Excel's Solver and time series methods.Implement real-world solutions with case studies, such as predicting customer churn and segmenting customers for better marketing strategies.Why is Predictive Customer Analytics so important? By using Excel, a tool most professionals are already familiar with, you can unlock deeper insights into customer data, enabling better decision-making without needing advanced technical skills. From forecasting sales trends to retaining key customers, predictive analytics is a game-changer for businesses looking to grow and scale.Throughout the course, you will complete hands-on exercises in Excel, including:Preprocessing customer data for linear and logistic regressionBuilding predictive models using XLSTAT and Excel MacrosClustering customer data for segmentation analysisImplementing time series forecasting to predict salesWhat sets this course apart is its focus on practical, easy-to-implement techniques that don't require programming knowledge. You'll learn how to utilize Excel's advanced features to get accurate, actionable results quickly.Ready to transform your customer insights? Enroll today and start building your own predictive models in Excel!
