Data Science Fundamentals Part 1: Unit 3
By Coursera
on Coursera
· Data Science
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.
Instructor
Pearson
Frequently Asked Questions
How much does Data Science Fundamentals Part 1: Unit 3 cost?
Visit the Data Science Fundamentals Part 1: Unit 3 course page for current pricing and available discounts.
Who teaches Data Science Fundamentals Part 1: Unit 3?
Data Science Fundamentals Part 1: Unit 3 is taught by Pearson, Pearson.
What skill level is Data Science Fundamentals Part 1: Unit 3 for?
This course is designed for beginner learners.