Coursera

Market Analysis and Trend Forecasting with Data

Coursera

Market Analysis and Trend Forecasting with Data

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深入了解一个主题并学习基础知识。
初级 等级

推荐体验

9 小时 完成
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

9 小时 完成
灵活的计划
自行安排学习进度

您将学到什么

  • Analyze historical trend data to forecast future market demand and calculate market sizing metrics like TAM, SAM, and SOM.

  • Visualize competitive positioning and market share trends to determine their impact on strategic recommendations and market entry.

  • Distinguish between market trends and short-term fads to inform data-driven decisions and ensure relevance in recommendations.

  • Create structured scorecards for market entry decisions to produce data-driven recommendations with confidence and clarity.

要了解的详细信息

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授课语言:英语(English)
最近已更新!

April 2026

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

积累 Business Strategy 领域的专业知识

本课程是 Market Research Analyst: AI, Power BI, SurveyMonkey skilled 专业证书 专项课程的一部分
在注册此课程时,您还会同时注册此专业证书。
  • 向行业专家学习新概念
  • 获得对主题或工具的基础理解
  • 通过实践项目培养工作相关技能
  • 通过 Coursera 获得可共享的职业证书

该课程共有4个模块

This module develops market sizing and growth analysis capabilities essential for research professionals. Learners will master market sizing frameworks (TAM, SAM, SOM) and techniques for calculating year-over-year growth metrics. Through practical data analysis exercises, learners will build the quantitative skills needed to identify high-growth market segments and significant performance trends.

涵盖的内容

4个视频2篇阅读材料4个作业

This module empowers analysts and strategists to master high-stakes market entry decisions. You will move beyond static snapshots to analyze dynamic competitive positioning, calculating market share trends to pinpoint strategic opportunities. The module bridges the gap between analysis and action through a structured market entry scorecard, weighing growth potential against regulatory risks and intensity. By synthesizing these data-driven techniques, you will learn to build a compelling business case and defend a clear go/no-go recommendation. Transform complex data into a decisive strategic plan and start driving impactful business strategy today.

涵盖的内容

4个视频3篇阅读材料4个作业

This module develops essential trend analysis capabilities for market research professionals. You will master distinguishing long-term trends from temporary fads by analyzing time-series data to identify seasonal patterns and peak periods. Through hands-on exercises, ranging from AI's strategic rise to streaming habits, you will uncover meaningful patterns that inform business strategy. You will learn to create annotated charts to effectively communicate findings to stakeholders. By moving beyond simple observation, you will be equipped to make evidence-based decisions, transforming raw data into actionable insights that drive business success and long-term strategic growth.

涵盖的内容

4个视频2篇阅读材料4个作业

This module equips you to translate raw data into a persuasive business case for market entry. You will apply your skills to produce time-series forecasts, prioritize trends using a scoring model, and build a comprehensive recommendation package. This hands-on experience involves sourcing data, applying transparent forecasting methods, and balancing quantitative data with qualitative insights. You will deliver a portfolio-ready project, including a Market Entry Brief and a Decision Summary, culminating in a clear "Go/No-Go" recommendation to guide strategic decisions and prove your value as a market analyst.

涵盖的内容

2篇阅读材料1个作业

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位教师

Professionals from the Industry
364 门课程51,161 名学生

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¹ 本课程的部分作业采用 AI 评分。对于这些作业,将根据 Coursera 隐私声明使用您的数据。