Data Science Foundations with Python, SQL, and Tableau

In today's data-driven world, the ability to extract, analyze, and visualize data is one of the most in-demand skillsets across industries. This text-based course brings together the three essential pillars of data science—SQL, Python, and Tableau—to help you confidently work with data from start to finish. You will transition from a beginner to a capable data practitioner. By reading through clear explanations, studying real-world code snippets, and working through practical written exercises, you will learn how to retrieve raw data, clean and manipulate it, and present your findings in professional dashboards. What you'll learn: - Understand foundational data science concepts, terminology, and the data lifecycle. - Write SQL queries to retrieve, filter, join, and aggregate data from relational databases. - Apply Python programming basics, including modern data analysis libraries like pandas, to clean and manipulate datasets. - Design clear, interactive Tableau dashboards that communicate key insights to stakeholders. - Practice structuring data projects from initial database query to final visual report. The journey begins with the absolute basics of data structures and database design. From there, you will progress step-by-step through SQL querying, Python scripting for data analysis, and finally, data visualization best practices. This course is designed for absolute beginners with no prior programming, database, or visualization experience. Start your journey into data science today and build a practical, multi-tool skillset at your own pace.