Market Analysis and Trend Forecasting with Data

О курсе

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. Emphasis is placed on communicating forecast confidence and producing visualizations that highlight seasonality, inflection points, and the distinction between long-term trends and short-term fads. Through hands-on model-building and interpretation exercises, you will practice converting complex analytic outputs into definitive go/no-go recommendations and short executive briefings that balance quantitative evidence with seasoned business judgment. You will finish this course by delivering a comprehensive Trend Forecast and Market Entry Recommendation, complete with a scoring model and supporting data visualizations, ensuring your insights are both statistically sound and ready for stakeholder review. Who this is for: Aspiring market analysts, business strategists, entrepreneurs, and professionals looking to develop data-driven market analysis skills with no prior experience required.

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