Python and SQL: Foundational Data Analysis and Portfolio Projects

Are you ready to start a career in data analysis but need the core technical skills? Data professionals rely on the powerful combination of Python for computation and SQL for robust data retrieval. This course provides a comprehensive, text-based path that takes you from understanding basic database logic to writing efficient code for data processing. By the end, you will have the practical skills necessary to query, analyze, and present data using industry-standard tools. What you'll learn: * Understand fundamental SQL syntax, including querying, filtering, grouping, and joining multiple tables. * Learn Python programming basics, focusing on variables, control flow, and functions essential for scripting. * Master the use of the Pandas library in Python for efficient data loading, cleaning, manipulation, and preparation. * Apply advanced SQL concepts like subqueries and window functions to solve complex analytical problems. * Configure and manage isolated project environments using virtual environments for reproducible Python workflows. * Practice writing robust scripts that connect to databases, extract data using SQL, and perform analysis in Python. The course begins with foundational terminology and syntax for both languages, then systematically guides you through practical exercises and case studies. You will move step-by-step from theoretical understanding to building functional analytical scripts. This course is designed for absolute beginners with no prior programming or database experience. All required software is free and easy to set up. Begin mastering the essential tools for modern data analysis today.