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所在平台: Udemy |
课程主页: https://www.udemy.com/course/spreadsheet-modeling-course/
课程评论：没有评论
课程名称：电子表格建模 课程概述：欢迎来到电子表格建模课程，在这里，数据分析与微软Excel这一我们最喜爱的工具相结合。电子表格被执行层和实施层广泛使用，它们允许数据的存储、可视化、分析以及自动化，因此所有建模的各个方面都可以在Excel中涵盖。无论您是行业专业人士还是学生，如果想在自己的领域有所成就，这门课程都非常适合您。 商业学习：展示如何通过分析做出有效决策，如定价、市场支出、产品发布等。无论我们拥有多少数据，或是面临新领域，我们都有技术来回答您的问题。 技术内容：您将学习四种预测技术：时间序列预测、事件影响分析、回归分析和商业模拟。课程覆盖详细理论，我们将深入探讨案例研究，最终进入答案。 您将学到的内容包括： · 使用Microsoft Excel进行分析和数据科学 · 通过分析展示有效的决策过程 · 预测分析与模拟 · 时间序列预测、事件影响分析、回归分析、商业模拟 课程要求或先决条件： · 电子表格基础：基本的Excel概念和公式 · 基础逻辑能力 适合人群： · 分析领域的初学者到高级人员 · 数据科学的初学者到高级人员 · 中级到高级的Microsoft Excel用户 · 希望做出有效商业决策的行业专业人士
Welcome to Spreadsheet Modeling - the world where analytics meets our favorite tool, Microsoft Excel. Spreadsheets are used by executive and execution audience, they allow data storage, visualization, analysis as well as automations - and hence all aspects of modeling can be covered in MS Excel.Whether you are an industry professional or student - this course is for you if want to make a mark in your field.Business learning: Demonstration of effective decision like pricing, marketing spends, product launches using analytics. Whether we have enough or no data, established or new area - we have techniques to answer your questions.Technically, you learn 4 predictive techniques: Time-series forecasting, Event impact analytics, Regression, Business simulations. We cover detailed theory, ponder over a case study and finally delve into the answers.What you'll learn· Analytics and Data Science using Microsoft Excel· Demonstration of effective decision making using analytics· Predictive analytics and simulations· Time-series forecasting, Event impact analytics, Regression, Business simulationsAre there any course requirements or prerequisites?· Spreadsheet basics: Basic Excel concepts and formulae· Basic logic aptitudeWho this course is for:· Beginner to advanced in Analytics· Beginner to advanced in Data Science· Intermediate to advanced in Microsoft Excel· Industry professionals looking to make effective business decisions
