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Forecasting for Marketers: Mastering Google Analytics
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Forecasting for Marketers: Mastering Google Analytics

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位教师:Board Infinity

包含在 Coursera Plus

深入了解一个主题并学习基础知识。
初级 等级

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2 周 完成
在 10 小时 一周
灵活的计划
自行安排学习进度
深入了解一个主题并学习基础知识。
初级 等级

推荐体验

2 周 完成
在 10 小时 一周
灵活的计划
自行安排学习进度

您将学到什么

  • Apply core forecasting methods to real-world marketing and campaign planning.

  • Use Google Analytics data to generate and validate predictive models.

  • Integrate forecasts into decision-making, planning, and performance reviews.

  • Communicate insights effectively through dashboards and storytelling.

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最近已更新!

December 2025

作业

16 项作业

授课语言:英语(English)

了解顶级公司的员工如何掌握热门技能

Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

该课程共有4个模块

This foundational module introduces learners to the essential principles of marketing forecasting. Through case-based learning, participants explore how forecasting drives campaign success, revenue planning, and customer targeting. Learners compare major forecasting approaches, analyze their applications, and gain hands-on exposure through interactive simulations and case reviews. By the end of this module, participants will be able to connect forecasting theory to real-world marketing outcomes and prepare to work with analytics data in later modules.

涵盖的内容

9个视频4篇阅读材料4个作业1个讨论话题1个插件

This module provides a deep dive into the role of Google Analytics (GA) in collecting, processing, and interpreting marketing data for forecasting purposes. Learners explore how GA tracks user behavior, captures critical performance metrics, and provides actionable insights. The module also emphasizes configuring GA for accuracy through filters, UTM parameters, and data validation practices. By the end, learners gain hands-on proficiency in using GA as a foundation for forecasting precision and reliability.

涵盖的内容

6个视频3篇阅读材料4个作业1个插件

This module focuses on transforming raw data into actionable forecasts through the application of statistical and analytical modeling techniques. Learners will explore key statistical principles, learn how to prepare and clean data, and build predictive models using regression and time-series analysis. Through guided simulations, learners will validate model accuracy and refine outputs for campaign optimization. By mastering model construction and validation, learners will bridge the gap between analytics and decision-making.

涵盖的内容

6个视频3篇阅读材料4个作业1个插件

The final module integrates all learned concepts into strategic decision-making. Learners will use forecast insights to design data-informed marketing plans, evaluate campaign outcomes, and present actionable recommendations to stakeholders. The focus is on converting data into narrative—using storytelling, visualization, and presentation frameworks that resonate with diverse audiences. Learners conclude the course by developing a comprehensive, forecast-driven marketing strategy ready for implementation.

涵盖的内容

6个视频3篇阅读材料4个作业1个插件

位教师

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199 门课程348,396 名学生

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