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所在平台: Udemy |
课程主页: https://www.udemy.com/course/marketing-analyst-learn-sales-forecasting-market-analysis/
课程评论：没有评论
课程名称：营销分析师：学习销售预测与市场分析 课程概述：欢迎参加全面的市场数据分析与YouTube分析课程。本课程旨在通过实用的技能培训，使您掌握利用Python进行市场数据分析和跨平台分析的能力。课程内容涵盖了广泛的主题，从YouTube分析和市场数据分析到使用机器学习进行的更高级案例研究，包括客户细分、流失检测和AB测试。无论您是市场营销专业人士、数据分析师还是Python爱好者，这门课程都将带您从初学者成长为高级水平，帮助您在市场营销中做出数据驱动的决策。 学习成果： - 收集、处理和分析市场数据及YouTube见解，使用Python工具。 - 构建并评估预测模型，以预测销量、检测客户流失和进行客户细分。 - 可视化复杂指标，并创建地理洞察地图。 - 进行情感分析、网络分析和AB测试，以支持数据驱动的市场决策。 课程要求： - 基本的Python编程知识是有帮助的，但不是必需的。 - 不需要任何市场营销或数据分析的经验；所有概念均从零开始介绍。 目标受众： 这门课程非常适合希望在市场背景下提升Python技能的潜在数据分析师、市场营销人员和专业人士。它提供了关于YouTube分析、客户细分和市场营销中的机器学习的深刻见解，帮助您在数据驱动的市场营销领域中脱颖而出。
Welcome to Comprehensive Marketing Data Analysis and YouTube Analytics using Python, an in-depth, hands-on course designed to equip you with the practical skills needed to leverage Python for marketing data analysis and analytics across various platforms. This course covers a wide range of topics, from YouTube Analytics and Marketing Data Analysis to more advanced case studies using machine learning in marketing, customer segmentation, churn detection, and AB testing. Whether you're a marketing professional, data analyst, or a Python enthusiast, this course will take you from beginner to advanced levels, empowering you to make data-driven decisions in marketing.Learning Outcomes:Collect, process, and analyze marketing data and YouTube insights using Python.Build and evaluate predictive models to forecast sales, detect churn, and segment customers.Visualize complex metrics and create maps for geographical insights.Perform sentiment analysis, network analysis, and AB testing for data-driven marketing decisions.Requirements:Basic Python programming knowledge is helpful but not required.No prior marketing or data analysis experience needed; all concepts are introduced from scratch.Intended Audience: This course is ideal for aspiring data analysts, marketers, and professionals who want to enhance their Python skills in a marketing context. It offers insights into YouTube Analytics, customer segmentation, and machine learning for marketing, empowering you to excel in the data-driven marketing field.
