Dive into the world of big data processing with this comprehensive tutorial series on PySpark and Python. Begin with an introduction to PySpark and its installation, then progress through hands-on lessons on DataFrame operations, including handling missing values and performing filter operations. Explore advanced topics such as GroupBy and aggregate functions, and gain an introduction to PySpark MLlib for machine learning applications. Delve into the mathematical intuition behind linear regression for data science, and learn how to use Databricks for PySpark development. Conclude with a practical implementation of multiple linear regression in Databricks, equipping you with essential skills for large-scale data processing and analysis.