Introduction to Data Science: Python, SQL, and AI Foundations

Data is one of the most valuable assets in the modern world, but its true power lies in the ability to analyze, interpret, and communicate insights. This course provides a clear pathway into the field of data science, breaking down complex concepts into accessible, written lessons. Through structured explanations and practical written exercises, you will transition from understanding basic data concepts to working with industry-standard analysis tools. You will learn how to approach data projects systematically, write clean code, and leverage modern artificial intelligence to streamline your workflow. What you'll learn: - Understand the core concepts of statistics and data structures to interpret data accurately. - Write SQL queries to extract, filter, and organize information from databases. - Master Python fundamentals, modern virtual environments, and data analysis libraries. - Create clear, persuasive data visualizations using Tableau to communicate key findings. - Apply basic machine learning algorithms to solve real-world predictive problems. - Leverage modern AI tools and prompt engineering to accelerate your data science tasks. This course begins with foundational terminology and statistical principles before moving step-by-step into database querying, Python programming, and data visualization. You will wrap up by exploring machine learning and how to integrate modern AI assistants into your daily data workflows. This course is designed entirely for beginners. No prior programming, math, or data science experience is required to start. Begin your journey into data science today and build the fundamental skills to analyze data with confidence.