Data Analytics: Core Statistics, Visualization, and Generative AI

In today's data-driven world, the ability to translate raw numbers into strategic decisions is a critical business skill. Organizations are looking for analysts who can combine traditional statistical methods with modern AI-driven tools to work faster and smarter. This text-based course guides you from the fundamental principles of data analysis to advanced modern techniques. You will learn how to structure datasets, perform descriptive and predictive modeling, and integrate Generative AI tools to automate repetitive tasks and write cleaner analytical code. What you'll learn: 1. Understand foundational statistical concepts, data types, and core terminology essential for any analyst. 2. Apply data cleaning and preparation techniques using modern data manipulation frameworks. 3. Create effective data visualizations that clearly communicate findings to stakeholders. 4. Build basic predictive models to identify trends and forecast future outcomes. 5. Leverage Generative AI tools to write analytical queries, generate code, and explain complex datasets. 6. Analyze real-world business scenarios through structured written exercises and case studies. The course begins with essential definitions and statistical foundations before progressing to data visualization and predictive techniques. You will conclude by exploring how modern AI assistants can optimize your daily data workflows. This course is designed for absolute beginners, aspiring data professionals, and business analysts looking to modernize their skills with no prior programming experience required. Start reading today to build a strong, future-proof foundation in data analytics.