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所在平台: Udemy |
课程主页: https://www.udemy.com/course/marketing-analytics-marketing-strategy-models-in-excel/
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课程名称：使用Excel进行市场分析与零售业务管理 课程概述： 如果您正在寻找一门全面的课程，旨在理解市场分析与零售业务管理，从而推动涉及生产计划、库存管理、促销邮件优化、店铺布局、合理捆绑定价、客户评估及商业其他部分的决策，那么您找对地方了！本课程将教您关于不同预测模型、市场篮分析、市场调研、市场分析、RFM（最近性、频率、货币价值）分析、客户评估方法及价格捆绑分析的所有知识，并教您如何使用Excel中的高级工具来实施这些模型。 课程完成后，您将能够： - 实施预测模型，如简单线性、多元回归、加法和乘法趋势及季节性模型等，以有效制定市场分析策略。 - 执行市场分析和市场篮分析，计算提升效应以确定最佳店铺布局，从而最大化互补产品的销售。 - 进行RFM分析，以帮助您最大化促销邮件活动的利润。 - 通过使用Excel求解器附加组件，实施收入/利润最大化的捆绑定价策略。 - 理解客户的价值，以便基于市场分析与市场调研的建议做出聪明的决策。 如果您是企业经理、执行者或希望学习并应用预测模型、市场分析技术于实际商业难题的学生，此课程将为您打下坚实的基础，教授最流行的预测模型和市场分析策略以及实施方法。 课程亮点： - 通过实际案例教授，理论与实践结合。 - 逐步指导在Excel中实现预测模型与市场分析。 - 每节课提供可下载的Excel文件与课堂笔记，便于复习与练习。 - 实际课堂将创建每种策略模型，使本课程与其他在线课程区别开来。 师资介绍： 课程由Abhishek和Pukhraj授课，他们是全球分析咨询公司的经理，凭借丰富的分析经验为企业解决问题。本课程融合了市场分析、市场研究、预测技术和数据分析的实际应用。 课程内容包括： 1. 课程介绍 2. 预测基础 3. 数据准备 4. 回归模型预测 5. 特殊事件处理 6. 季节性与趋势识别 7. 市场篮分析与提升 8. RFM分析 9. 价格捆绑技巧 10. 客户生命周期价值 11. Excel速成课程 通过参加本课程，您将获得对市场分析、市场研究及预测技术的必要知识与技能，以便立即在工作中见到实用收益。请点击注册按钮，加入我们的零售业务管理与市场分析课程！
You're looking for a complete course on understanding Marketing Analytics and Retail Business Management to drive business decisions involving production schedules, inventory management, promotional mail optimization, store layouting, estimating right bundle price, customer valuation and many other parts of the business., right?You've found the right Marketing Analytics & Retail Business Management course! This course teaches you everything you need to know about different forecasting models, Market Basket analysis, conducting market research, marketing analytics, RFM (recency, frequency, monetary) analysis, Customer Valuation methods & Price Bundling analysis and how to implement these models in Excel using advanced excel tool.After completing this course you will be able to:Implement forecasting models such as simple linear, simple multiple regression, Additive and multiplicative trend and seasonality model and many more, required for devising marketing analytics strategies effectively.Perform marketing analytics and market basket analysis and calculate lift to derive a store layout that maximizes sales from complementary products.Do RFM (Recency, frequency, and monetary value) analysis to help you maximize profit from promotional mail campaigns.Increase revenue/profit of your firm by implementing revenue / profit maximizing bundle price point using marketing analytics tool like Excel solver Add-inUnderstand the value of your customers to make intelligent decisions based on recommendations of marketing analytics and marketing research on how to spend money acquiring themConfidently practice, discuss and understand different marketing analytics models used by organizationsHow this course will help you?A Verifiable Certificate of Completion is presented to all students who undertake this Marketing Analytics & Retail Business Management course.If you are a business manager or an executive, or a student who wants to learn and apply forecasting models, marketing analytics techniques based on marketing research in real world problems of business, this course will give you a solid base for that by teaching you the most popular forecasting models and marketing analytics strategies and how to implement them.Why should you choose this course?We believe in teaching by example. This course is no exception. Every Section's primary focus is to teach you the concepts of marketing analytics, marketing research through how-to examples. Each section has the following components:Theoretical concepts and cases of different forecasting models and marketing analytics techniquesStep-by-step instructions on implementing forecasting models and marketing analytics in excelDownloadable Excel file containing data and solutions used in each lecture on marketing analytics and retail business managementClass notes and assignments to revise and practice the concepts on marketing analytics and retail business managementThe practical classes where we create the model for each of these strategies is something which differentiates this course from any other course available online.What makes us qualified to teach you?The course is taught by Abhishek and Pukhraj. As managers in Global Analytics Consulting firm, we have helped businesses solve their business problem using Analytics and we have used our experience to include the practical aspects of Marketing analytics, marketing research, forecasting techniques and data analytics in this course.We are also the creators of some of the most popular online courses - with over 170,000 enrollments and thousands of 5-star reviews like these ones:This is very good, i love the fact the all explanation given can be understood by a layman - JoshuaThank you Author for this wonderful course. You are the best and this course is worth any price. - DaisyOur PromiseTeaching our students is our job and we are committed to it. If you have any questions about the course content, marketing analytics, marketing research, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message.Download Practice files, take Quizzes, and complete AssignmentsWith each lecture, there are class notes attached for you to follow along. You can also take quizzes to check your understanding of concepts on Marketing analytics, marketing research, forecasting techniques. Each section contains a practice assignment for you to practically implement your learning on Marketing analytics, marketing research, forecasting techniques.What is covered in this course?Understanding how future sales will change is one of the key information needed by manager to take data driven decisions. In this course, we will explore how one can use marketing analytics tools and forecasting models toSee patterns in time series dataMake forecasts based on modelsLet me give you a brief overview of the courseSection 1 - IntroductionIn this section we will learn about the course structure containing Marketing analytics, marketing research, forecasting techniques.Section 2 - Basics of ForecastingIn this section, we will discuss about the basic of forecasting and we will also learn the easiest way to create simple linear regression model in ExcelSection 3 - Getting Data Ready for Regression ModelIn this section you will learn what actions you need to take step by step to get the data and then prepare it for the marketing analytics purpose. These steps are very important.We start with understanding the importance of business knowledge then we will see how to do data exploration. We learn how to do uni-variate analysis and bi-variate analysis then we cover topics like outlier treatment and missing value imputation. These are the building blocks of implementing marketing analytics techniques effectively.Section 4 - Forecasting using Regression ModelThis section starts with simple linear regression and then covers multiple linear regression. We have covered the basic theory behind each concept without getting too mathematical about it so that you understand where the concept is coming from and how it is important. But even if you don't understand it, it will be okay as long as you learn how to run and interpret the result as taught in the practical lectures.We also look at how to quantify models accuracy, what is the meaning of F statistic, how categorical variables in the independent variables data set are interpreted in the results.Section 5 - Handling Special events like Holiday salesIn this section we will learn how to incorporate effects of Day of Week Effect, Month Effect or any special event such Holidays, pay day etc.Section 6 - Identifying Seasonality & Trend for ForecastingIn this section we will learn about trends and seasonality and how to use the Solver to develop an additive or multiplicative model to estimate trends and seasonality. We will also learn how to use moving averages to eliminate seasonality to easily see trends in sales.Section 7 - Market Basket Analysis and LiftIn this section we will learn about Marketing analytics, marketing research, market basket analysis and learn how to calculate lift to derive a store layout that maximizes sales from complementary products.Section 8 - Recency, frequency, and monetary value analysisIn this section we will learn techniques to perform RFM (Recency, frequency, and monetary value) analysis to help you maximize profit from promotional mail campaigns.Section 9 - Recency, frequency, and monetary value analysisIn this section we will learn price bundling techniques and learn how to increase revenue/profit of your firm by implementing revenue / profit maximizing price point using Excel solver Add-inSection 10 - Recency, frequency, and monetary value analysisIn this section, we will discuss about the basic of concepts of Customer Lifetime value and learn how to create excel model to find lifetime customer value and perform sensitivity analysis to capture variations in lifetime value under different scenarios.Section 11 - Excel crash courseIf you're new to Excel, or you've played around with it but want to get more comfortable with Excel's advanced features required for this course. Either way, this section will be great for you to revise your rusty excel skills.Some of the examples in this course are from the book Marketing Analytics: Data-Driven Techniques with Microsoft Excel [Winston, Wayne L.]. We suggest this book as reading material for anyone aspiring to be a marketing analyst and gaining knowledge on Marketing analytics, marketing research, forecasting techniques and data analytics.I am pretty confident that the course will give you the necessary knowledge and skills related to Marketing analytics, marketing research, forecasting techniques, to immediately see practical benefits in your workplace.Go ahead and click the enroll button, and I'll see you in lesson 1 of this Marketing Analytics course!CheersStart-Tech Academy
