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所在平台: Udemy |
课程主页: https://www.udemy.com/course/ra-retail-customer-analytics-and-trade-area-modeling/
课程评论：没有评论
课程名称：RA：零售客户分析与贸易区建模 课程概述： 本课程是RA零售系列中的三门课程之一，可以独立学习。课程旨在帮助学员掌握零售管理和分析技能，主要使用Excel和Python。零售商每天面临激烈的竞争，了解新趋势和客户偏好是现代零售环境中取得卓越的保证。有效利用每天产生的数据是提升零售管理的重要途径。研究表明，我们每天生成的数据量惊人，约为2.5万亿字节。根据IBM的研究，90%的全球数据是在过去两年内生成的。零售分析是研究产生的零售数据并从中做出数据驱动决策的领域。鉴于这一领域的广泛性，课程分为三个部分，本课程专注于客户分析。 课程内容包括： 1. 理解客户分析在零售中的重要性 2. 使用Pandas进行数据处理 3. 使用Python进行分析 4. 贸易区建模 5. 推荐系统 6. 顾客终身价值预测 7. 市场篮子分析 8. 客户流失预测 即使您不懂编程，也不用担心，我们会通过零售分析逐步学习！ 课程设计： 课程采用体验式学习模块，前两个模块介绍零售基础知识，接下来是Python编程基础，以便将所有学习者的水平统一到同一节奏。第三部分是利用数据科学的零售应用，运用前两个模块的知识进行实践。课程的授课方式结合了我在白板上讲解概念、演示以及Python编程环节，大家将和我一起逐步进行编码。大部分模块设有评估，以巩固新获得的技能，所有实习和评估均基于真实的零售案例。 适合人群： - 编程零基础的学习者 - 在零售行业工作并希望做出数据驱动决策的人士 - 希望从Excel转向数据科学语言的人士 - 渴望自动化分析过程的Excel用户 整个课程包括可下载资源和Python项目文件、作业和测试，提供终身访问权限，并且有30天退款保证。
"This is one of the three courses in the Retail Series by RA, each course can be taken independently."Master Retail management and analytics with Excel and PythonRetailers face fierce competition every day and keeping up with the new trends and customer preferences is a guarantee for excellence in the modern retail environment. one Keyway to excel in retail management is utilizing the data that is produced every day. It is estimated that We produce an overwhelming amount of data every day, roughly 2.5 quintillion bytes. According to an IBM study, 90% of the world's data has been created in the last two years.Retail analytics is the field of studying the produced retail data and making insightful data-driven decisions from it. as this is a wide field, I have split the Program into three parts. in this course, we focus on the customer analytics part of retail. Understanding the customer is key for maintaining loyalty and developing products to boost retail business and profitability.RA: Retail Customer Analytics and Trade Area Modeling.1- Understanding the importance of customer analytics in retail.2- Manipulation of Data with Pandas.3-Working with Python for analytics.5- Trade area modeling6- Recommendation systems7- Customer lifetime value prediction8- Market Basket analytics9- Churn predictionDon't worry If you don't know how to code, we learn step by step by applying retail analysis!*NOTE: Full Program includes downloadable resources and Python project files, homework and Program quizzes, lifetime access, and a 30-day money-back guarantee.Who this Program is for:· If you are an absolute beginner at coding, then take this Program.· If you work in Retail and want to make data-driven decisions, this Program will equip you with what you need.· If you are switching from Excel to a data science language. then this Program will fast-track your goal.· If you are tired of doing the same analysis again and again on spreadsheets and want to find ways to automate it, this Program is for you.Program Designthe Program is designed as experiential learning Modules, the first couple of modules are for retail fundamentals followed by Python programming fundamentals, this is to level all of the takers of this Program to the same pace. and the third part is retail applications using Data science which is using the knowledge of the first two modules to apply. while the Program delivery method will be a mix of me explaining the concepts on a whiteboard, Presentations, and Python-coding sessions where you do the coding with me step by step. there will be assessments in most of the sections to strengthen your newly acquired skills. all the practice and assessments are real retail use cases.
