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所在平台: Udemy |
课程主页: https://www.udemy.com/course/introduction_to_predictive_analytics_using_sap-sac/
课程评论：没有评论
课程名称：SAP Analytics Cloud中的预测分析 课程概述：本课程专为使用SAP Analytics Cloud进行数据驱动决策过程的商业经理和商业分析师设计。重点关注预测数据分析，帮助学员掌握专业知识和备受追捧的技能。通过本课程，您将学会将数据集转化为有价值的洞察，从而促进更好的数据驱动决策。 课程内容概览： 1. **预测分析工具和模型**：学习如何利用历史和当前数据可靠地预测未来趋势和客户行为。课程内容包括应用预测分析来增强各个业务职能的决策过程。 2. **SAP云分析工具**：掌握如何有效操作、分析和解读数据，以提高整体业务表现。通过实践经验了解SAP Analytics Cloud的功能，确保知识可立即在您的职业角色中应用。 3. **预测分析的应用**： - 供应链管理：通过预测需求和更有效地管理库存来优化运营。 - 市场营销与促销计划：通过定位潜在购买客户提高收入和销售，并更有战略性地计划促销。 - 客户保留：利用预测模型识别高风险客户并制定保留策略。 - 产品管理：通过理解市场趋势和客户偏好来优化产品组合。 本课程涵盖多种统计技术，包括数据挖掘、预测建模和机器学习，帮助分析当前和历史数据以进行未来预测。 学习成果： 完成课程后，您将能够： - 构建分类模型：开发模型以对数据进行分类并进行预测。 - 构建回归模型：创建基于输入变量预测连续结果的模型。 - 构建时间序列模型：分析和预测随时间变化的数据点，以识别趋势和模式。 - 解释指标：理解和解释分类、回归和时间序列模型的关键指标。 - 将模型应用于未见数据：使用训练好的模型对新未见数据集进行预测，确保知识的实际应用。 免责声明：本课程的讲师与SAP SE或其任何附属公司无关。课程内容独立开发，并未得到SAP的认可。 本课程提供全面的方法来掌握SAP Analytics Cloud中的预测分析，使您能够通过明智、数据驱动的决策来推动更好的商业成果。
The course is ideal for Business Managers and Business Analysts who use SAP Analytics Cloud for data-driven processes. It focuses on Predictive Data Analytics, equipping you with specialized knowledge and highly sought-after skills. You will learn to transform data sets into valuable insights, enabling better data-driven decision-making.Course OverviewPredictive Analytics Tools and Models: Organizations can now utilize historical and current data to reliably forecast future trends and customer behaviors. The course covers the application of predictive analytics to enhance decision-making processes across various business functions.SAP Cloud Analytic Tools: You will learn to effectively manipulate, analyze, and interpret data using SAP Cloud analytic tools to improve overall business performance. This includes hands-on experience with SAP Analytics Cloud features, ensuring practical knowledge that can be applied immediately in your professional role.Applications of Predictive Analytics- Supply Chain Management: Optimize operations by predicting demand and managing inventory more effectively.- Marketing and Promotional Planning: Increase revenue and sales by targeting customers who are likely to make a purchase, and plan promotions more strategically.- Customer Retention: Utilize predictive models to identify at-risk customers and develop strategies to retain them.- Product Management: Optimize product portfolios by understanding market trends and customer preferences.Predictive analytics provides insights into when and why demand may occur and offers what-if analysis to influence customer demands and needs. The course covers a variety of statistical techniques, including data mining, predictive modeling, and machine learning, to analyze current and historical data for future predictions.Learning OutcomesBy the end of the course, you will be able to:- Build Classification Models: Develop models to categorize data and make predictions based on classification.- Build Regression Models: Create models that predict continuous outcomes based on input variables.- Build Time Series Models: Analyze and forecast data points over time to identify trends and patterns.- Interpret Metrics: Understand and interpret key metrics for classification, regression, and time series models.- Apply Models to Unseen Data: Use trained models to make predictions on new, unseen datasets, ensuring practical, real-world application.DisclaimerThe instructor of this course is not associated with SAP SE or any of its affiliates. The course content is independently developed and is not endorsed by SAP.This course offers a comprehensive approach to mastering predictive analytics with SAP Analytics Cloud, empowering you to drive better business outcomes through informed, data-driven decisions.
