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Welcome to Week 2 of our Data Analysis for Beginners series! In this video, we’ll simplify one of the most important topics in data analysis, understanding different types of data, how to collect them, and the tools you can use even with zero experience. Whether you’re a business owner, student, or aspiring data analyst, this lesson breaks down key concepts in a way that makes sense, especially in the context of solving real-world problems across Africa. 🔍 What you’ll learn: ✅ Types of data: structured vs. unstructured, qualitative vs. quantitative ✅ Primary vs. secondary data — what’s the difference and when to use each ✅ Common data collection methods (surveys, forms, scraping, APIs, etc.) ✅ Quick intro to tools: Excel, Google Sheets, SQL & Power BI ✅ Bonus: Learn basic Excel functions to clean and analyze data 🧠 Why this matters: Good analysis starts with good data. This video shows you how to choose the right kind of data and tools from the start—without feeling overwhelmed. 📌 Timestamps: 00:00 - Introduction 01:15 - What is Data? Types You Should Know 04:20 - Primary vs. Secondary Data 06:10 - Data Collection Methods Explained 09:00 - Excel, SQL & Power BI Overview 11:30 - Simple Excel Formulas for Beginners 14:00 - Wrap-Up & What's Next 🔔 Don’t forget to like, subscribe, and comment what data tools you’re excited to learn! #DataAnalysisForBeginners #StructuredVsUnstructured #ExcelBasics #LearnDataAnalysisFree #TechEducationAfrica #PowerBIforBeginners #GoogleSheetsTips #SQLBasics #AfricanTechTalent #DataTools2025 #DataTypes #DataCollection #ExcelForBeginners #LearnDataAnalysis #AfricanTechSkills #StructuredData #QuantitativeVsQualitative #PowerBITutorial #GoogleSheetsTips #DigitalSkillsAfrica