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Goliath Research Academy
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Data Cleaning with Python

This course provides comprehensive instruction on managing missing data, handling outliers, and addressing duplicated values using Python. Topics include techniques for identifying, imputing, and visualizing missing values and strategies for detecting and managing outliers.
7 minutes

Video Time

15 minutes

Ebooks Time

2 (no grades)

Quizzes

5

Notebooks

1 (15 questions)

Exam

1

Certificate

David Izada-Rodriguez

Computer Scientist, Software Engineer, Instructor
About me
After years of researching and teaching Computer Science, I switched to its applications to several industries. This experience allowed me to develop general-purpose techniques to be used from the factory floor to enterprise applications on the cloud. As I did at the beginning of my career, I am ready to share my experience.

Gladys Casas-Cardoso

Data Scientist, Statistician, Instructor
About me
I am a Mathematics and Computer Sciences professor since 1994. With a master's degree in Mathematics and a Ph.D. in Technical Sciences, I enjoy teaching at all levels and ages.
I look forward to sharing my love of building meaningful and compelling content with all students to develop their data analysis abilities.
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