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In diesem Kurs gibt es 4 Module
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.
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.
Das ist alles enthalten
4 Videos2 LektĂĽren4 Aufgaben
Infos zu Modulinhalt anzeigen
4 Videos•Insgesamt 32 Minuten
What is Market Sizing? Understanding TAM, SAM, and SOM•8 Minuten
How to Identify TAM, SAM, and SOM from a Business Report?•9 Minuten
Why Growth Metrics Drive Strategy: The Zoom vs. Netflix Story•7 Minuten
How to Calculate YoY Growth and Use Conditional Formatting?•8 Minuten
2 Lektüren•Insgesamt 17 Minuten
Defining Your Playground: TAM, SAM, and SOM•10 Minuten
Calculating Year-over-Year Growth: The Formula and Its Meaning•7 Minuten
4 Aufgaben•Insgesamt 75 Minuten
Hands-On Learning: Sizing the Opportunity for a Food Delivery App•20 Minuten
Knowledge Check: The Value of Market Sizing•5 Minuten
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.
Das ist alles enthalten
4 Videos3 LektĂĽren4 Aufgaben
Infos zu Modulinhalt anzeigen
4 Videos•Insgesamt 31 Minuten
The Streaming Wars: A Story Told by Data•9 Minuten
Build a Trend Analysis from Scratch•7 Minuten
Walmart in Germany: A "No-Go" Decision in Hindsight•8 Minuten
Introducing the Market Entry Scorecard•7 Minuten
3 Lektüren•Insgesamt 24 Minuten
Market Share 101: Core Concepts and Calculations•8 Minuten
Your Competitive Analysis Career Path•8 Minuten
Breaking Down the Scorecard: A Guide to Key Factors•8 Minuten
4 Aufgaben•Insgesamt 90 Minuten
Hands-On Learning: Analyze the Automotive Market•25 Minuten
Hands-On Learning: Score Your First Market•25 Minuten
The Go/No-Go Recommendation•30 Minuten
Uncover Market Trends with Data Analysis
Modul 3•2 Stunden abzuschließen
Moduldetails
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.
Das ist alles enthalten
4 Videos2 LektĂĽren4 Aufgaben
Infos zu Modulinhalt anzeigen
4 Videos•Insgesamt 32 Minuten
The Cost of Getting it Wrong: AI vs. NFTs•8 Minuten
A Framework for Analysis•9 Minuten
Riding the Wave: Why Seasonality Matters•7 Minuten
Visualize and Annotate Time-Series Data•8 Minuten
2 Lektüren•Insgesamt 16 Minuten
The Anatomy of Trends and Fads•8 Minuten
Introduction to Time-Series Analysis•8 Minuten
4 Aufgaben•Insgesamt 85 Minuten
Hands-On Learning: Classify the Current Market•20 Minuten
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.
Das ist alles enthalten
2 LektĂĽren1 Aufgabe
Infos zu Modulinhalt anzeigen
2 Lektüren•Insgesamt 7 Minuten
Why This Project Matters•3 Minuten
Project Requirements•4 Minuten
1 Aufgabe•Insgesamt 120 Minuten
Project: Trend Forecast and Market Entry Recommendation•120 Minuten
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Coursera brings together a diverse network of subject matter experts who have demonstrated their expertise through professional industry experience or strong academic backgrounds. These instructors design and teach courses that make practical, career-relevant skills accessible to learners worldwide.
No. The course breaks down complex analytical techniques into step-by-step processes accessible to beginners with no prior data analysis experience.
What tools will I learn to use in this course?
You'll gain practical skills in data analysis, visualization techniques, and strategic decision-making tools that are applicable across various business contexts.
How will these skills apply to real-world business scenarios?
The course teaches techniques used by businesses to identify market opportunities, assess growth potential, and make informed strategic decisions.
When will I have access to the lectures and assignments?
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Certificate?
When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Finanzielle UnterstĂĽtzung verfĂĽgbar, weitere Informationen
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