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Data ScienceBeginner

Data Science Fundamentals Part 1: Unit 3

This course explores the fundamentals of relational databases and how to seamlessly map Python data structures to robust database tables using...

By Pearson on Coursera

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.

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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.

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Students0
DurationSelf-paced
LevelBeginner
Languageen
PlatformCoursera
InstructorPearson