Foundations of Data Management with Python, SQL, and Big Data

In today's digital economy, data is an organization's most valuable asset, yet managing it effectively remains a major challenge. Understanding how data is governed, structured, and analyzed is essential for making informed business decisions. This text-based course provides a comprehensive introduction to the core disciplines of enterprise data management. You will progress from foundational concepts of data governance and quality to practical data analysis techniques, preparing you to participate in modern data-driven initiatives. What you'll learn: - Understand the core principles of data governance, data quality, and enterprise data security. - Write fundamental SQL queries to retrieve, filter, and organize data from relational databases. - Perform exploratory data analysis using Python and modern data manipulation libraries. - Explore big data concepts and the roles of processing frameworks like Hadoop and Hive. - Design basic database schemas and understand the essentials of ETL (Extract, Transform, Load) pipelines. - Learn how modern cloud data lakehouses and hybrid storage patterns are shaping the future of data architecture. The course begins with crucial terminology and data management frameworks before moving into guided written exercises for SQL and Python. You will then explore big data architectures and integration workflows to see how all these components fit together in a corporate environment. Designed entirely for beginners, this course requires no prior programming or database experience. It is ideal for aspiring data professionals, business analysts, and managers looking to build a strong technical foundation. Start reading today to build your foundational knowledge of enterprise data management.