Data Analytics Foundations: SQL, Python, and Modern Data Workflows

In today's digital economy, organizations rely on data to make critical business decisions, creating a massive demand for skilled data analysts. This text-based course guides you through the essential tools and methodologies needed to transform raw data into actionable insights. You will develop the analytical mindset required to query databases, manipulate datasets, and present findings clearly. By mastering foundational techniques alongside modern data validation practices, you will gain the confidence to solve real-world business problems using data. What you'll learn: - Understand key data analytics terminology, core business metrics, and the data lifecycle. - Write SQL queries to extract, filter, join, and aggregate data from relational databases. - Analyze complex datasets using Python and modern data manipulation libraries like Pandas. - Apply data cleaning and validation techniques to ensure data quality and accuracy. - Design effective visualization strategies and write clear analytical summaries for stakeholders. - Learn how to leverage generative AI tools to assist in writing SQL queries and debugging code. The course begins with fundamental concepts of data structures and metrics, gradually transitioning into practical SQL and Python exercises designed to build your technical skills step-by-step. This course is designed specifically for beginners with no prior coding or analytical experience who want to build a strong, modern foundation in data analytics. Start your journey into the world of data analytics today.