Data Science Fundamentals Part 1: Unit 3

About this course

This course explores the fundamentals of relational databases and how to seamlessly map Python data structures to robust database tables using object-relational mappers (ORMs). You'll gain practical experience in building efficient ETL (Extract, Transform, Load) pipelines, ensuring your data is not only accessible but also reliable and persistent. You'll learn about data validation and quality control, leveraging powerful tools like Pandas to explore, clean, and analyze your datasets. By the end of the course, you’ll be equipped to uncover insights, identify biases, and apply best practices in data management.

What you will learn

• Master the fundamentals of relational databases and persistent data storage.
• Build and optimize ETL pipelines using Python and object-relational mappers.
• Apply data validation techniques to ensure data quality and integrity.
• Utilize Pandas for effective data exploration, transformation, and statistical analysis.