Data Science Foundations with Python and SQL

In a world driven by information, the ability to extract, clean, and analyze data is a critical skill for any modern professional. This course provides a structured path to understanding how data can be used to solve real-world problems and drive informed decision-making. You will transition from basic programming logic to professional data handling techniques, enabling you to automate repetitive workflows and visualize complex datasets effectively. By focusing on the core libraries and languages used in the industry today, you will gain the confidence to handle data at scale. What you'll learn: - Master core Python syntax and modern programming practices like type hints and virtual environments - Analyze large datasets efficiently using NumPy and Pandas for sophisticated data manipulation - Create professional data visualizations to communicate complex insights through clear written explanations - Extract information from the web using automated scraping techniques and API integration - Manage and query relational data using SQL for robust database interactions - Understand the fundamental principles of Machine Learning and modern vector-based data logic The journey begins with essential terminology and foundational definitions before moving into specialized modules for data analysis, web automation, and database management. You will learn through detailed written explanations and code-based exercises designed for immediate practical application. This course is designed for absolute beginners with no prior data science experience, as well as developers looking to expand their toolkit with data-centric skills. No prerequisites are required to start. Begin your journey into the world of data science today.