Data Analysis and Visualization with SQL and Python

Data analysis is an essential skill for making informed, data-driven decisions across industries. This text-based course provides a structured introducing to extracting, transforming, and visualizing data using the industry-standard combination of SQL and Python. You will start by learning essential database concepts and foundational vocabulary before writing your first queries. From there, you will move into data manipulation using Python and create clear visual reports to communicate key patterns effectively. What you'll learn: - Understand foundational concepts of relational databases, table structures, and data analysis terminology. - Write SQL queries to filter, aggregate, group, and join data across relational tables. - Load and inspect datasets in Python using the Pandas library and modern data handling conventions. - Clean raw data, handle missing values, and perform common transformations for exploratory analysis. - Create clear, expressive visualizations using Matplotlib and Seaborn to highlight trends and distributions. - Structure simple Python data scripts using readable code practices and basic type annotations. You will progress from essential definitions and query syntax to hands-on Python data workflows through written explanations and code exercises. This course is designed for complete beginners with no prior programming or database experience required. Start reading today to build your practical data skills step by step.