Data Science Fundamentals for Data-Driven Decisions

Organizations rely on data to solve complex problems and drive strategic growth, making data literacy an essential skill in every industry. This course provides a structured introduction to the field, helping you understand how raw information is transformed into actionable intelligence. You will build a solid conceptual foundation in data collection, cleaning, exploratory analysis, and predictive thinking. Through step-by-step reading and practical written scenarios, you will learn how to evaluate metrics and make informed, evidence-based choices. What you'll learn: - Understand core data science terminology, fundamental concepts, and the modern data lifecycle - Explore techniques for data collection, data quality assessment, and preprocessing - Apply exploratory data analysis to detect trends, anomalies, and relationships - Interpret statistical summaries and basic predictive modeling concepts - Learn how modern data pipelines and machine learning integrate into business workflows - Practice framing business questions and extracting actionable insights from data The course begins with foundational vocabulary and principles before progressing through data preparation, analytical methods, and practical decision-making frameworks. It is designed entirely for beginners with no prior programming or mathematics background required. Start reading today to establish a clear, modern foundation in data science.