You will gain the applied data skills needed to turn multiple evidence streams into defensible forecasts and prioritized market recommendations. This course covers data assembly, cleaning, and harmonization for time-series and cross-sectional indicators, followed by practical forecasting techniques such as moving averages, exponential smoothing, and estimation of forecast uncertainty and confidence ranges. You'll learn to calculate critical market sizing metrics—including TAM, SAM, and SOM—while producing year-over-year growth metrics to identify high-velocity opportunities. The curriculum teaches you to create straightforward scorecards that prioritize these opportunities by size, growth velocity, and strategic fit.

Market Analysis and Trend Forecasting with Data

Market Analysis and Trend Forecasting with Data
This course is part of Market Research Analyst: AI, Power BI, SurveyMonkey skilled Professional Certificate

Instructor: Professionals from the Industry
Included with
Recommended experience
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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April 2026
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