Coursera

Market Analysis and Trend Forecasting with Data

Coursera

Market Analysis and Trend Forecasting with Data

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Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

9 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

9 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • 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.

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Recently updated!

April 2026

Assessments

13 assignmentsÂą

AI Graded see disclaimer
Taught in English

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This course is part of the Market Research Analyst: AI, Power BI, SurveyMonkey skilled Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
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  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
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There are 4 modules in this course

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.

What's included

4 videos2 readings4 assignments

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.

What's included

4 videos3 readings4 assignments

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.

What's included

4 videos2 readings4 assignments

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.

What's included

2 readings1 assignment

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