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所在平台: Udemy |
课程主页: https://www.udemy.com/course/certification-in-marketing-analytics/
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**营销分析认证课程总结 (“Certification in Marketing Analytics”)** 本课程旨在提升您作为一名营销分析专业人士的职业技能，无论您是初级营销分析师、专注于营销洞察的数据分析师、有志于营销数据分析的数据科学家，还是新兴的数据驱动洞察专家。通过本课程，您将能够： * 掌握营销分析所需的所有基础功能和技能。 * 深入理解营销分析的应用和技术，包括营销数据的数据表示与特征工程、针对营销洞察的数据分析与预处理方法，以及营销数据叙事的特定技术。 * 获取营销分析技术的推荐模板和格式。 * 通过信息丰富的案例研究，学习不同场景下的营销分析技术，并理解营销洞察如何推动数据驱动洞察的进步，掌握实用的形式和框架。 **课程框架:** 课程内容以引人入胜的视频讲座、案例研究、评估、可下载资源和互动练习为特色。您将深入探索营销分析的各个方面，包括：数据表示与特征工程、营销分析技术、针对营销洞察的交互式仪表板与可视化分析、数据预处理、营销数据分析、营销分析的仪表板设计、营销分析的进阶主题以及未来趋势。 课程还包含一个专门的“社会文化环境”模块，利用营销分析技术探讨情感分析和意见挖掘、数据驱动分析以及印度社会文化背景下的互动洞察。最终，您将完成一个营销分析的顶点项目。 **课程内容概览:** 1. **营销分析导论:** 介绍营销分析的定义、关键组成部分及其益处。 2. **营销分析的数据收集与来源:** 探讨如何收集和利用营销数据。 3. **营销洞察的描述性分析:** 学习如何使用描述性统计来获取营销洞察。 4. **客户细分与定位:** 掌握客户细分和目标市场定位的方法。 5. **客户行为预测的预测性分析:** 学习预测客户行为的技术. 6. **营销活动分析与投资回报率（ROI）衡量:** 分析营销活动效果并计算ROI。 7. **社交媒体分析与参与度衡量:** 评估社交媒体表现和用户互动。 8. **客户旅程图谱与归因模型:** 理解客户互动路径并分析营销归因。 9. **营销中的A/B测试与实验:** 学习如何通过A/B测试优化营销策略。 10. **行为分析的未来趋势:** 探讨案例研究和实际应用，展望行为分析的未来。 本课程还提供多项全球营销分析项目、格式、模板、工作表、阅读材料、测验、自我评估、案例研究和作业，旨在全面提升您的全球营销分析知识。
DescriptionTake the next step in your career as a marketing analytics professional! Whether you're an up-and-coming marketing analytics specialist, an experienced data analyst focusing on marketing insights, an aspiring data scientist specializing in marketing data analysis, or a budding expert in data-driven insights, this course is an opportunity to sharpen your data processing and analytics capabilities specific to marketing insights, increase your efficiency for professional growth, and make a positive and lasting impact in the field of marketing analytics.With this course as your guide, you learn how to:● All the fundamental functions and skills required for marketing analytics.● Transform knowledge of marketing analytics applications and techniques, data representation and feature engineering for marketing data, data analysis and preprocessing methods tailored to marketing insights, and techniques specific to marketing data narratives.● Get access to recommended templates and formats for details related to marketing analytics techniques.● Learn from informative case studies, gaining insights into marketing analytics techniques for various scenarios. Understand how marketing insights impact advancements in data-driven insights, with practical forms and frameworks.● Learn from informative case studies, gaining insights into marketing analytics techniques for various scenarios. Understand how marketing insights impact advancements in data-driven insights, with practical formats and frameworks.The Frameworks of the CourseEngaging video lectures, case studies, assessments, downloadable resources, and interactive exercises. This course is designed to explore the field of marketing analytics, covering various chapters and units. You'll delve into data representation and feature engineering for marketing data, marketing analytics techniques, interactive dashboards and visual analytics tailored to marketing insights, data preprocessing, marketing data analysis, dashboard design for marketing analytics, advanced topics in marketing analytics, and future trends.The socio-cultural environment module using marketing analytics techniques delves into sentiment analysis and opinion mining, data-driven analysis, and interactive insights in the context of India's socio-cultural landscape. It also applies marketing analytics to explore data preprocessing and analysis, interactive dashboards, visual analytics, and advanced topics in marketing analytics. You'll gain insight into data-driven analysis of sentiment and opinion mining, interactive insights, and marketing analytics-based insights into applications and future trends, along with a capstone project in marketing analytics.The course includes multiple global marketing analytics projects, resources like formats, templates, worksheets, reading materials, quizzes, self-assessment, case studies, and assignments to nurture and upgrade your global marketing analytics knowledge in detail.Course Content:Part 1Introduction and Study Plan● Introduction and know your Instructor● Study Plan and Structure of the Course1. Introduction to Marketing Analytics1.1.1 Introduction to Marketing Analytics1.1.2 Understanding Marketing Analytics1.1.3 Key Components of Marketing Analytics1.1.4 Benefits of Marketing Analytics1.1.4 Continuation of Benefits of Marketing Analytics2. Data Collection and Sources for Marketing Analytics2.1.1 Data Collection and Sources for Marketing Analytics2.1.1 Continuation of Data Collection and Sources for Marketing Analytics2.1.1 Continuation of Data Collection and Sources for Marketing Analytics2.1.1 Continuation of Data Collection and Sources for Marketing Analytics2.1.1 Continuation of Data Collection and Sources for Marketing Analytics3. Descriptive Analytics for Marketing Insights3.1.1 Descriptive Analytics for Marketing Insights3.1.1 Continuation of Descriptive Analytics for Marketing Insights3.1.1 Continuation of Descriptive Analytics for Marketing Insights3.1.1 Continuation of Descriptive Analytics for Marketing Analytics3.1.1 Continuation of Descriptive Analytics for Marketing Analytics4. Customer Segmentation and Targeting4.1.1 Customer Segmentation and Targeting4.1.1 Continuation of Customer Segmentation and Targeting4.1.1 Continuation of Customer Segmentation and Targeting4.1.1 Continuation of Customer Segmentation and Targeting4.1.1 Continuation of Customer Segmentation and Targeting5. Predictive Analytics for Customer Behavior Forecasting5.1.1 Predictive Analytics for Customer Behavior Forecasting5.1.1 Continuation of Predictive Analytics for Customer Behavior Forecasting5.1.1 Continuation of Predictive Analytics for Customer Behavior Forecasting5.1.1 Continuation of Predictive Analytics for Customer Behavior Forecasting5.1.1 Continuation of Predictive Analytics for Customer Behavior Forecasting6. Campaign Analytics and ROI Measurement6.1.1 Campaign Analytics and ROI Measurement6.1.1 Continuation of Campaign Analytics and ROI Measurement6.1.1 Continuation of Campaign Analytics and ROI Measurement6.1.1 Continuation of Campaign Analytics and ROI Measurement6.1.1 Continuation of Analytics and ROI Measurement7. Social Media Analytics and Engagement Measurement7.1.1 Social media Analytics and Engagement Measurement7.1.1 Continuation of Social media Analytics and Engagement Measurement7.11 Continuation of Social media Analytics and Engagement Measurement7.1.1 Continuation of Social media Analytics and Engagement Measurement7.1.1 Continuation of Social media Analytics and Engagement Measurement8. Customer Journey Mapping and Attribution Modeling8.1.1 Customer Journey Mapping and Attribution Modeling8.1.2 Customer Journey Mapping8.1.3 Attribution Modeling8.1.3 Continuation of Attribution Modeling9. A/B Testing and Experimentation in Marketing9.1.1 AB Testing and Experimentation in Marketing9.1.1 Continuation of AB Testing and Experimentation in Marketing9.1.1 Continuation of AB Testing and Experimentation in Marketing9.1.1 Continuation of AB Testing and Experimentation in Marketing10. Future Trends in Behavioral Analytics10.1.1 Case Studies and Real World Applications10.1.1 Continuation of Case Studies and Real World Applications10.1.1 Continuation of Case Studies and Real World Applications10.1.1 Continuation of Case Studies and Real World Applications10.1.1 Continuation of Case Studies and Real World Applications10.1.7 CertificationPart 3Assignments
